Datasets:
Upload folder using huggingface_hub
Browse files- .claude/settings.local.json +12 -0
- .gitignore +3 -0
- README.md +295 -3
- labels/label2id.csv +17 -0
- labels/wanfall.csv +0 -0
- splits/test.csv +1201 -0
- splits/train.csv +0 -0
- splits/val.csv +1201 -0
.claude/settings.local.json
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{
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"permissions": {
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"allow": [
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"Read(//home/dschneider/workspace/PROJECTS/omnifall/hf/**)",
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"Read(//lsdf/users/dschneider-kf3609/workspace/PROJECTS/omnifall/hf/**)",
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"Read(//lsdf/users/dschneider-kf3609/workspace/PROJECTS/wanfall/labels/**)",
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"Bash(source ~/miniconda3/bin/activate ccode)"
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],
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"deny": [],
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"ask": []
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}
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}
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.gitignore
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export_via_to_csv.py
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create_splits.py
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README.md
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-
---
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license: cc-by-nc-4.0
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-
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| 1 |
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---
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| 2 |
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license: cc-by-nc-4.0
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task_categories:
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- video-classification
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language:
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- en
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| 7 |
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tags:
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| 8 |
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- synthetic
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| 9 |
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- activity-recognition
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| 10 |
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- fall-detection
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| 11 |
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pretty_name: 'WanFall: A Synthetic Activity Recognition Dataset'
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| 12 |
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size_categories:
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| 13 |
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- 10K<n<100K
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| 14 |
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configs:
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| 16 |
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- config_name: labels
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| 17 |
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data_files:
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| 18 |
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- labels/wanfall.csv
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| 19 |
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default: true
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| 20 |
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description: "Temporal segment labels for all videos. Load splits to get train/val/test paths."
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| 21 |
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| 22 |
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- config_name: default
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| 23 |
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data_files:
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| 24 |
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- split: train
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| 25 |
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path: "splits/train.csv"
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| 26 |
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- split: validation
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path: "splits/val.csv"
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| 28 |
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- split: test
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| 29 |
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path: "splits/test.csv"
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| 30 |
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description: "Default random 80/10/10 train/val/test split (seed 42)"
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| 31 |
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---
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| 32 |
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[](https://creativecommons.org/licenses/by-nc/4.0/)
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| 33 |
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| 34 |
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# WanFall: A Synthetic Activity Recognition Dataset
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| 35 |
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| 36 |
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This repository contains temporal segment annotations for WanFall, a synthetic activity recognition dataset focused on fall detection and related activities of daily living.
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| 37 |
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| 38 |
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## Overview
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| 39 |
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| 40 |
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WanFall is a large-scale synthetic dataset designed for activity recognition research, with emphasis on fall detection and posture transitions. The dataset features computer-generated videos of human actors performing various activities in controlled virtual environments.
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| 41 |
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| 42 |
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**Key Features:**
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| 43 |
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- **~12,000 video clips** with dense temporal annotations
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| 44 |
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- **16 activity classes** including falls, posture transitions, and static states
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| 45 |
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- **5.0625 seconds** per video clip (81 frames @ 16 fps)
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| 46 |
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- **Synthetic generation** enabling diverse scenarios and controlled variation
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| 47 |
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- **Dense temporal segmentation** with frame-level precision
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| 48 |
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| 49 |
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## Dataset Statistics
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| 50 |
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| 51 |
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- **Total videos**: 12,000
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| 52 |
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- **Total temporal segments**: 19,062
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| 53 |
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- **Annotation format**: Temporal segmentation (start/end timestamps)
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| 54 |
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- **Video duration**: 5.0625 seconds per clip
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| 55 |
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- **Frame count**: 81 frames per video
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| 56 |
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- **Frame rate**: 16 fps
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| 57 |
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- **Default split**: 80/10/10 train/val/test (seed 42)
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| 58 |
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- Train: 9,600 videos
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| 59 |
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- Validation: 1,200 videos
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| 60 |
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- Test: 1,200 videos
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| 61 |
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| 62 |
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## Activity Categories
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| 63 |
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| 64 |
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The dataset includes **16 activity classes** organized into dynamic actions and static states:
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| 65 |
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| 66 |
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### Dynamic Actions (Transitions)
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| 67 |
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- **0. walk** - Walking movement, including jogging and running
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| 68 |
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- **1. fall** - Falling down action (from any previous state)
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| 69 |
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- **3. sit_down** - Transitioning from standing to sitting
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| 70 |
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- **5. lie_down** - Intentionally lying down (not falling)
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| 71 |
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- **7. stand_up** - Rising from sitting/lying to standing
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| 72 |
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- **10. kneel_down** - Transitioning to kneeling position
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| 73 |
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- **12. squat_down** - Transitioning to squatting position
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| 74 |
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- **14. crawl** - Crawling movement on hands and knees
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| 75 |
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- **15. jump** - Jumping action
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| 76 |
+
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| 77 |
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### Static States
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| 78 |
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- **2. fallen** - Person in fallen state (on ground after fall)
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| 79 |
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- **4. sitting** - Stationary sitting posture
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| 80 |
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- **6. lying** - Stationary lying posture (after intentional lie_down)
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| 81 |
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- **8. standing** - Stationary standing posture
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| 82 |
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- **11. kneeling** - Stationary kneeling posture
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| 83 |
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- **13. squatting** - Stationary squatting posture
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| 84 |
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| 85 |
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### Other
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| 86 |
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- **9. other** - Actions not fitting above categories
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| 87 |
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| 88 |
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## Structure
|
| 89 |
+
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| 90 |
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The repository is organized as follows:
|
| 91 |
+
|
| 92 |
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- `labels/` - CSV files containing temporal segment annotations
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| 93 |
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- `wanfall.csv` - All temporal segments for the dataset
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| 94 |
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- `label2id.csv` - Mapping of activity names to integer IDs
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| 95 |
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- `splits/` - Train/validation/test split definitions
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| 96 |
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- `train.csv` - Training set video paths (80%)
|
| 97 |
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- `val.csv` - Validation set video paths (10%)
|
| 98 |
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- `test.csv` - Test set video paths (10%)
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| 99 |
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| 100 |
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### Label Format
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| 101 |
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| 102 |
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The `labels/wanfall.csv` file follows this format:
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| 103 |
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| 104 |
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```
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| 105 |
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path,label,start,end,subject,cam,dataset
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| 106 |
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```
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| 107 |
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| 108 |
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Where:
|
| 109 |
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- `path`: Relative path to the video (without .mp4 extension, e.g., "fall/fall_ch_001")
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| 110 |
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- `label`: Class ID (0-15) corresponding to one of the 16 activity classes
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| 111 |
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- `start`: Start time of the segment in seconds
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| 112 |
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- `end`: End time of the segment in seconds
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| 113 |
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- `subject`: Subject ID (`-1` for synthetic data without subject tracking)
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| 114 |
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- `cam`: Camera view ID (`-1` for single view/no camera variation)
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| 115 |
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- `dataset`: Dataset name (`wanfall`)
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| 116 |
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| 117 |
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### Split Format
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| 118 |
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| 119 |
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Split files in the `splits/` directory list the video paths included in each partition:
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| 120 |
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| 121 |
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```
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| 122 |
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path
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| 123 |
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fall/fall_ch_001
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| 124 |
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fall/fall_ch_002
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| 125 |
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...
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| 126 |
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```
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| 127 |
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| 128 |
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## Usage Examples
|
| 129 |
+
|
| 130 |
+
### Load Default Split
|
| 131 |
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|
| 132 |
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```python
|
| 133 |
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from datasets import load_dataset
|
| 134 |
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import pandas as pd
|
| 135 |
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|
| 136 |
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# Load the datasets
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| 137 |
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print("Loading WanFall dataset...")
|
| 138 |
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|
| 139 |
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# Labels are always in 'train' split by default in HuggingFace
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| 140 |
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labels = load_dataset("YOUR_USERNAME/wanfall", "labels")["train"]
|
| 141 |
+
|
| 142 |
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# Load default train/val/test splits
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| 143 |
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default_split = load_dataset("YOUR_USERNAME/wanfall", "default")
|
| 144 |
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|
| 145 |
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# Convert to pandas DataFrames
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| 146 |
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labels_df = pd.DataFrame(labels)
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| 147 |
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print(f"Labels dataframe shape: {labels_df.shape}")
|
| 148 |
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print(f"Total temporal segments: {len(labels_df)}")
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| 149 |
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|
| 150 |
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# Process each split
|
| 151 |
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for split_name, split_data in default_split.items():
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| 152 |
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# Convert to DataFrame
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| 153 |
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split_df = pd.DataFrame(split_data)
|
| 154 |
+
|
| 155 |
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# Join with labels on 'path'
|
| 156 |
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merged_df = pd.merge(split_df, labels_df, on="path", how="left")
|
| 157 |
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|
| 158 |
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# Print statistics
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| 159 |
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print(f"\n{split_name} split:")
|
| 160 |
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print(f" Videos: {len(split_df)}")
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| 161 |
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print(f" Temporal segments: {len(merged_df)}")
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| 162 |
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print(f" Unique labels: {merged_df['label'].nunique()}")
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| 163 |
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```
|
| 164 |
+
|
| 165 |
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### Analyze Label Distribution
|
| 166 |
+
|
| 167 |
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```python
|
| 168 |
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from datasets import load_dataset
|
| 169 |
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import pandas as pd
|
| 170 |
+
|
| 171 |
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# Load labels
|
| 172 |
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labels = load_dataset("YOUR_USERNAME/wanfall", "labels")["train"]
|
| 173 |
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labels_df = pd.DataFrame(labels)
|
| 174 |
+
|
| 175 |
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# Load label names
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| 176 |
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label_map = {
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| 177 |
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0: 'walk', 1: 'fall', 2: 'fallen', 3: 'sit_down',
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| 178 |
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4: 'sitting', 5: 'lie_down', 6: 'lying', 7: 'stand_up',
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| 179 |
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8: 'standing', 9: 'other', 10: 'kneel_down', 11: 'kneeling',
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| 180 |
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12: 'squat_down', 13: 'squatting', 14: 'crawl', 15: 'jump'
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| 181 |
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}
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| 182 |
+
|
| 183 |
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# Add label names
|
| 184 |
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labels_df['label_name'] = labels_df['label'].map(label_map)
|
| 185 |
+
|
| 186 |
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# Segment-level distribution
|
| 187 |
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print("Temporal Segment Distribution:")
|
| 188 |
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segment_counts = labels_df['label_name'].value_counts().sort_index()
|
| 189 |
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for label_name, count in segment_counts.items():
|
| 190 |
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print(f" {label_name:15s}: {count:5d} segments")
|
| 191 |
+
|
| 192 |
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# Video-level distribution (primary activity from path)
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| 193 |
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labels_df['primary_activity'] = labels_df['path'].str.split('/').str[0]
|
| 194 |
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print("\nVideo Distribution by Primary Activity:")
|
| 195 |
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video_counts = labels_df['primary_activity'].value_counts()
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| 196 |
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for activity, count in video_counts.items():
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| 197 |
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print(f" {activity:15s}: {count:5d} segments")
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| 198 |
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```
|
| 199 |
+
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| 200 |
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### Iterate Over Split
|
| 201 |
+
|
| 202 |
+
```python
|
| 203 |
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from datasets import load_dataset
|
| 204 |
+
import pandas as pd
|
| 205 |
+
|
| 206 |
+
# Load data
|
| 207 |
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labels = load_dataset("YOUR_USERNAME/wanfall", "labels")["train"]
|
| 208 |
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labels_df = pd.DataFrame(labels)
|
| 209 |
+
|
| 210 |
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splits = load_dataset("YOUR_USERNAME/wanfall", "default")
|
| 211 |
+
train_df = pd.DataFrame(splits["train"])
|
| 212 |
+
|
| 213 |
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# Merge to get train labels
|
| 214 |
+
train_labels = pd.merge(train_df, labels_df, on="path", how="left")
|
| 215 |
+
|
| 216 |
+
print(f"Training set: {len(train_labels)} temporal segments")
|
| 217 |
+
|
| 218 |
+
# Iterate over videos
|
| 219 |
+
for video_path in train_df['path'][:5]:
|
| 220 |
+
# Get all segments for this video
|
| 221 |
+
video_segments = train_labels[train_labels['path'] == video_path]
|
| 222 |
+
|
| 223 |
+
print(f"\n{video_path}:")
|
| 224 |
+
print(f" Segments: {len(video_segments)}")
|
| 225 |
+
|
| 226 |
+
for _, seg in video_segments.iterrows():
|
| 227 |
+
duration = seg['end'] - seg['start']
|
| 228 |
+
print(f" {seg['start']:.3f}s - {seg['end']:.3f}s ({duration:.3f}s): "
|
| 229 |
+
f"label {seg['label']}")
|
| 230 |
+
```
|
| 231 |
+
|
| 232 |
+
## Technical Properties
|
| 233 |
+
|
| 234 |
+
### Video Specifications
|
| 235 |
+
- **Resolution**: Variable (synthetic generation)
|
| 236 |
+
- **Duration**: 5.0625 seconds (consistent across all videos)
|
| 237 |
+
- **Frame count**: 81 frames
|
| 238 |
+
- **Frame rate**: 16 fps
|
| 239 |
+
- **Format**: MP4 (not included in this dataset, videos must be obtained separately)
|
| 240 |
+
|
| 241 |
+
### Annotation Properties
|
| 242 |
+
- **Temporal precision**: Sub-second (timestamps with decimal precision)
|
| 243 |
+
- **Coverage**: Most frames are labeled, with some gaps
|
| 244 |
+
- **Overlap handling**: Segments are annotated chronologically
|
| 245 |
+
- **Activity sequences**: Natural transitions (e.g., walk → fall → fallen → stand_up)
|
| 246 |
+
|
| 247 |
+
## Motion Types
|
| 248 |
+
|
| 249 |
+
Activities are classified into two main motion types:
|
| 250 |
+
|
| 251 |
+
**Dynamic motions** (e.g., `walk`, `fall`, `stand_up`):
|
| 252 |
+
- Labeled from the first frame where the motion begins
|
| 253 |
+
- End when the person reaches a resting state
|
| 254 |
+
|
| 255 |
+
**Static states** (e.g., `fallen`, `sitting`, `lying`):
|
| 256 |
+
- Begin when person comes to rest in that posture
|
| 257 |
+
- Continue until next motion begins
|
| 258 |
+
|
| 259 |
+
## Label Sequences
|
| 260 |
+
|
| 261 |
+
Videos often contain natural sequences of activities:
|
| 262 |
+
- **Fall sequence**: walk → fall → fallen → stand_up
|
| 263 |
+
- **Sit sequence**: walk → sit_down → sitting → stand_up
|
| 264 |
+
- **Lie sequence**: walk → lie_down → lying → stand_up
|
| 265 |
+
|
| 266 |
+
Not all transitions include static states (e.g., a person might stand_up immediately after falling without a `fallen` state).
|
| 267 |
+
|
| 268 |
+
## Future Extensions
|
| 269 |
+
|
| 270 |
+
This dataset is designed to support additional metadata and splits:
|
| 271 |
+
- **Demographics**: Age groups, ethnicity (to be added)
|
| 272 |
+
- **Cross-demographic splits**: Train on one demographic, test on another
|
| 273 |
+
- **Scenario variations**: Different environments, lighting, occlusions
|
| 274 |
+
|
| 275 |
+
## Citation
|
| 276 |
+
|
| 277 |
+
If you use WanFall in your research, please cite:
|
| 278 |
+
|
| 279 |
+
```bibtex
|
| 280 |
+
@misc{wanfall2025,
|
| 281 |
+
title={WanFall: A Synthetic Activity Recognition Dataset},
|
| 282 |
+
author={TODO},
|
| 283 |
+
year={2025},
|
| 284 |
+
}
|
| 285 |
+
```
|
| 286 |
+
|
| 287 |
+
## License
|
| 288 |
+
|
| 289 |
+
The annotations and split definitions in this repository are released under [Creative Commons Attribution-NonCommercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/).
|
| 290 |
+
|
| 291 |
+
The video data is synthetic and must be obtained separately from the original source.
|
| 292 |
+
|
| 293 |
+
## Contact
|
| 294 |
+
|
| 295 |
+
For questions about the dataset, please contact [TODO].
|
labels/label2id.csv
ADDED
|
@@ -0,0 +1,17 @@
|
|
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|
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|
|
|
|
|
|
|
| 1 |
+
label,id
|
| 2 |
+
walk,0
|
| 3 |
+
fall,1
|
| 4 |
+
fallen,2
|
| 5 |
+
sit_down,3
|
| 6 |
+
sitting,4
|
| 7 |
+
lie_down,5
|
| 8 |
+
lying,6
|
| 9 |
+
stand_up,7
|
| 10 |
+
standing,8
|
| 11 |
+
other,9
|
| 12 |
+
kneel_down,10
|
| 13 |
+
kneeling,11
|
| 14 |
+
squat_down,12
|
| 15 |
+
squatting,13
|
| 16 |
+
crawl,14
|
| 17 |
+
jump,15
|
labels/wanfall.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
splits/test.csv
ADDED
|
@@ -0,0 +1,1201 @@
|
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|
|
| 1 |
+
path
|
| 2 |
+
fall/fall_ch_007
|
| 3 |
+
fall/fall_ch_010
|
| 4 |
+
fall/fall_ch_019
|
| 5 |
+
fall/fall_ch_028
|
| 6 |
+
fall/fall_ch_036
|
| 7 |
+
fall/fall_ch_043
|
| 8 |
+
fall/fall_ch_044
|
| 9 |
+
fall/fall_ch_054
|
| 10 |
+
fall/fall_ch_059
|
| 11 |
+
fall/fall_ch_091
|
| 12 |
+
fall/fall_ch_097
|
| 13 |
+
fall/fall_ch_107
|
| 14 |
+
fall/fall_ch_118
|
| 15 |
+
fall/fall_ch_129
|
| 16 |
+
fall/fall_ch_153
|
| 17 |
+
fall/fall_ch_159
|
| 18 |
+
fall/fall_ch_167
|
| 19 |
+
fall/fall_ch_189
|
| 20 |
+
fall/fall_el_001
|
| 21 |
+
fall/fall_el_008
|
| 22 |
+
fall/fall_el_025
|
| 23 |
+
fall/fall_el_032
|
| 24 |
+
fall/fall_el_042
|
| 25 |
+
fall/fall_el_052
|
| 26 |
+
fall/fall_el_083
|
| 27 |
+
fall/fall_el_118
|
| 28 |
+
fall/fall_el_120
|
| 29 |
+
fall/fall_el_121
|
| 30 |
+
fall/fall_el_134
|
| 31 |
+
fall/fall_el_140
|
| 32 |
+
fall/fall_el_145
|
| 33 |
+
fall/fall_el_188
|
| 34 |
+
fall/fall_mi_001
|
| 35 |
+
fall/fall_mi_007
|
| 36 |
+
fall/fall_mi_010
|
| 37 |
+
fall/fall_mi_021
|
| 38 |
+
fall/fall_mi_024
|
| 39 |
+
fall/fall_mi_035
|
| 40 |
+
fall/fall_mi_042
|
| 41 |
+
fall/fall_mi_045
|
| 42 |
+
fall/fall_mi_053
|
| 43 |
+
fall/fall_mi_071
|
| 44 |
+
fall/fall_mi_073
|
| 45 |
+
fall/fall_mi_075
|
| 46 |
+
fall/fall_mi_076
|
| 47 |
+
fall/fall_mi_089
|
| 48 |
+
fall/fall_mi_109
|
| 49 |
+
fall/fall_mi_115
|
| 50 |
+
fall/fall_mi_121
|
| 51 |
+
fall/fall_mi_126
|
| 52 |
+
fall/fall_mi_135
|
| 53 |
+
fall/fall_mi_189
|
| 54 |
+
fall/fall_mi_191
|
| 55 |
+
fall/fall_te_002
|
| 56 |
+
fall/fall_te_007
|
| 57 |
+
fall/fall_te_027
|
| 58 |
+
fall/fall_te_035
|
| 59 |
+
fall/fall_te_052
|
| 60 |
+
fall/fall_te_054
|
| 61 |
+
fall/fall_te_060
|
| 62 |
+
fall/fall_te_073
|
| 63 |
+
fall/fall_te_086
|
| 64 |
+
fall/fall_te_112
|
| 65 |
+
fall/fall_te_116
|
| 66 |
+
fall/fall_te_123
|
| 67 |
+
fall/fall_te_128
|
| 68 |
+
fall/fall_te_146
|
| 69 |
+
fall/fall_te_151
|
| 70 |
+
fall/fall_te_154
|
| 71 |
+
fall/fall_te_158
|
| 72 |
+
fall/fall_te_172
|
| 73 |
+
fall/fall_to_022
|
| 74 |
+
fall/fall_to_023
|
| 75 |
+
fall/fall_to_024
|
| 76 |
+
fall/fall_to_029
|
| 77 |
+
fall/fall_to_033
|
| 78 |
+
fall/fall_to_042
|
| 79 |
+
fall/fall_to_046
|
| 80 |
+
fall/fall_to_054
|
| 81 |
+
fall/fall_to_079
|
| 82 |
+
fall/fall_to_088
|
| 83 |
+
fall/fall_to_089
|
| 84 |
+
fall/fall_to_094
|
| 85 |
+
fall/fall_to_117
|
| 86 |
+
fall/fall_to_120
|
| 87 |
+
fall/fall_to_132
|
| 88 |
+
fall/fall_to_137
|
| 89 |
+
fall/fall_to_150
|
| 90 |
+
fall/fall_to_159
|
| 91 |
+
fall/fall_to_161
|
| 92 |
+
fall/fall_to_165
|
| 93 |
+
fall/fall_to_178
|
| 94 |
+
fall/fall_to_187
|
| 95 |
+
fall/fall_to_194
|
| 96 |
+
fall/fall_to_199
|
| 97 |
+
fall/fall_yo_021
|
| 98 |
+
fall/fall_yo_041
|
| 99 |
+
fall/fall_yo_050
|
| 100 |
+
fall/fall_yo_053
|
| 101 |
+
fall/fall_yo_071
|
| 102 |
+
fall/fall_yo_085
|
| 103 |
+
fall/fall_yo_105
|
| 104 |
+
fall/fall_yo_114
|
| 105 |
+
fall/fall_yo_122
|
| 106 |
+
fall/fall_yo_123
|
| 107 |
+
fall/fall_yo_125
|
| 108 |
+
fall/fall_yo_128
|
| 109 |
+
fall/fall_yo_130
|
| 110 |
+
fall/fall_yo_134
|
| 111 |
+
fall/fall_yo_138
|
| 112 |
+
fall/fall_yo_140
|
| 113 |
+
fall/fall_yo_144
|
| 114 |
+
fall/fall_yo_147
|
| 115 |
+
fall/fall_yo_161
|
| 116 |
+
fall/fall_yo_164
|
| 117 |
+
fall/fall_yo_167
|
| 118 |
+
fall/fall_yo_170
|
| 119 |
+
fall/fall_yo_189
|
| 120 |
+
fall/fall_yo_194
|
| 121 |
+
fallen/fallen_ch_001
|
| 122 |
+
fallen/fallen_ch_014
|
| 123 |
+
fallen/fallen_ch_026
|
| 124 |
+
fallen/fallen_ch_030
|
| 125 |
+
fallen/fallen_ch_033
|
| 126 |
+
fallen/fallen_ch_036
|
| 127 |
+
fallen/fallen_ch_046
|
| 128 |
+
fallen/fallen_ch_070
|
| 129 |
+
fallen/fallen_ch_091
|
| 130 |
+
fallen/fallen_ch_092
|
| 131 |
+
fallen/fallen_ch_108
|
| 132 |
+
fallen/fallen_ch_113
|
| 133 |
+
fallen/fallen_ch_116
|
| 134 |
+
fallen/fallen_ch_118
|
| 135 |
+
fallen/fallen_ch_121
|
| 136 |
+
fallen/fallen_ch_131
|
| 137 |
+
fallen/fallen_ch_142
|
| 138 |
+
fallen/fallen_ch_144
|
| 139 |
+
fallen/fallen_ch_176
|
| 140 |
+
fallen/fallen_ch_190
|
| 141 |
+
fallen/fallen_ch_196
|
| 142 |
+
fallen/fallen_el_003
|
| 143 |
+
fallen/fallen_el_004
|
| 144 |
+
fallen/fallen_el_020
|
| 145 |
+
fallen/fallen_el_025
|
| 146 |
+
fallen/fallen_el_043
|
| 147 |
+
fallen/fallen_el_081
|
| 148 |
+
fallen/fallen_el_090
|
| 149 |
+
fallen/fallen_el_095
|
| 150 |
+
fallen/fallen_el_097
|
| 151 |
+
fallen/fallen_el_113
|
| 152 |
+
fallen/fallen_el_120
|
| 153 |
+
fallen/fallen_el_125
|
| 154 |
+
fallen/fallen_el_128
|
| 155 |
+
fallen/fallen_el_129
|
| 156 |
+
fallen/fallen_el_131
|
| 157 |
+
fallen/fallen_el_136
|
| 158 |
+
fallen/fallen_el_146
|
| 159 |
+
fallen/fallen_el_185
|
| 160 |
+
fallen/fallen_el_189
|
| 161 |
+
fallen/fallen_mi_005
|
| 162 |
+
fallen/fallen_mi_013
|
| 163 |
+
fallen/fallen_mi_026
|
| 164 |
+
fallen/fallen_mi_034
|
| 165 |
+
fallen/fallen_mi_039
|
| 166 |
+
fallen/fallen_mi_045
|
| 167 |
+
fallen/fallen_mi_047
|
| 168 |
+
fallen/fallen_mi_048
|
| 169 |
+
fallen/fallen_mi_055
|
| 170 |
+
fallen/fallen_mi_070
|
| 171 |
+
fallen/fallen_mi_075
|
| 172 |
+
fallen/fallen_mi_080
|
| 173 |
+
fallen/fallen_mi_081
|
| 174 |
+
fallen/fallen_mi_085
|
| 175 |
+
fallen/fallen_mi_098
|
| 176 |
+
fallen/fallen_mi_114
|
| 177 |
+
fallen/fallen_mi_130
|
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|
| 906 |
+
stand_up/stand_up_te_017
|
| 907 |
+
stand_up/stand_up_te_018
|
| 908 |
+
stand_up/stand_up_te_025
|
| 909 |
+
stand_up/stand_up_te_032
|
| 910 |
+
stand_up/stand_up_te_039
|
| 911 |
+
stand_up/stand_up_te_043
|
| 912 |
+
stand_up/stand_up_te_044
|
| 913 |
+
stand_up/stand_up_te_045
|
| 914 |
+
stand_up/stand_up_te_049
|
| 915 |
+
stand_up/stand_up_te_053
|
| 916 |
+
stand_up/stand_up_te_065
|
| 917 |
+
stand_up/stand_up_te_067
|
| 918 |
+
stand_up/stand_up_te_069
|
| 919 |
+
stand_up/stand_up_te_076
|
| 920 |
+
stand_up/stand_up_te_084
|
| 921 |
+
stand_up/stand_up_te_087
|
| 922 |
+
stand_up/stand_up_te_097
|
| 923 |
+
stand_up/stand_up_te_106
|
| 924 |
+
stand_up/stand_up_te_107
|
| 925 |
+
stand_up/stand_up_te_126
|
| 926 |
+
stand_up/stand_up_te_133
|
| 927 |
+
stand_up/stand_up_te_144
|
| 928 |
+
stand_up/stand_up_te_158
|
| 929 |
+
stand_up/stand_up_te_174
|
| 930 |
+
stand_up/stand_up_te_190
|
| 931 |
+
stand_up/stand_up_te_196
|
| 932 |
+
stand_up/stand_up_te_198
|
| 933 |
+
stand_up/stand_up_to_022
|
| 934 |
+
stand_up/stand_up_to_025
|
| 935 |
+
stand_up/stand_up_to_041
|
| 936 |
+
stand_up/stand_up_to_047
|
| 937 |
+
stand_up/stand_up_to_061
|
| 938 |
+
stand_up/stand_up_to_073
|
| 939 |
+
stand_up/stand_up_to_093
|
| 940 |
+
stand_up/stand_up_to_096
|
| 941 |
+
stand_up/stand_up_to_117
|
| 942 |
+
stand_up/stand_up_to_125
|
| 943 |
+
stand_up/stand_up_to_126
|
| 944 |
+
stand_up/stand_up_to_134
|
| 945 |
+
stand_up/stand_up_to_137
|
| 946 |
+
stand_up/stand_up_to_156
|
| 947 |
+
stand_up/stand_up_to_169
|
| 948 |
+
stand_up/stand_up_yo_006
|
| 949 |
+
stand_up/stand_up_yo_025
|
| 950 |
+
stand_up/stand_up_yo_032
|
| 951 |
+
stand_up/stand_up_yo_033
|
| 952 |
+
stand_up/stand_up_yo_034
|
| 953 |
+
stand_up/stand_up_yo_041
|
| 954 |
+
stand_up/stand_up_yo_042
|
| 955 |
+
stand_up/stand_up_yo_047
|
| 956 |
+
stand_up/stand_up_yo_054
|
| 957 |
+
stand_up/stand_up_yo_060
|
| 958 |
+
stand_up/stand_up_yo_082
|
| 959 |
+
stand_up/stand_up_yo_086
|
| 960 |
+
stand_up/stand_up_yo_090
|
| 961 |
+
stand_up/stand_up_yo_102
|
| 962 |
+
stand_up/stand_up_yo_103
|
| 963 |
+
stand_up/stand_up_yo_113
|
| 964 |
+
stand_up/stand_up_yo_129
|
| 965 |
+
stand_up/stand_up_yo_144
|
| 966 |
+
stand_up/stand_up_yo_161
|
| 967 |
+
stand_up/stand_up_yo_163
|
| 968 |
+
stand_up/stand_up_yo_170
|
| 969 |
+
stand_up/stand_up_yo_172
|
| 970 |
+
stand_up/stand_up_yo_178
|
| 971 |
+
stand_up/stand_up_yo_191
|
| 972 |
+
standing/standing_ch_017
|
| 973 |
+
standing/standing_ch_020
|
| 974 |
+
standing/standing_ch_039
|
| 975 |
+
standing/standing_ch_042
|
| 976 |
+
standing/standing_ch_043
|
| 977 |
+
standing/standing_ch_055
|
| 978 |
+
standing/standing_ch_060
|
| 979 |
+
standing/standing_ch_064
|
| 980 |
+
standing/standing_ch_070
|
| 981 |
+
standing/standing_ch_075
|
| 982 |
+
standing/standing_ch_098
|
| 983 |
+
standing/standing_ch_101
|
| 984 |
+
standing/standing_ch_108
|
| 985 |
+
standing/standing_ch_130
|
| 986 |
+
standing/standing_ch_141
|
| 987 |
+
standing/standing_ch_150
|
| 988 |
+
standing/standing_ch_156
|
| 989 |
+
standing/standing_ch_164
|
| 990 |
+
standing/standing_ch_167
|
| 991 |
+
standing/standing_ch_168
|
| 992 |
+
standing/standing_ch_172
|
| 993 |
+
standing/standing_ch_175
|
| 994 |
+
standing/standing_ch_178
|
| 995 |
+
standing/standing_ch_199
|
| 996 |
+
standing/standing_el_014
|
| 997 |
+
standing/standing_el_021
|
| 998 |
+
standing/standing_el_038
|
| 999 |
+
standing/standing_el_064
|
| 1000 |
+
standing/standing_el_084
|
| 1001 |
+
standing/standing_el_092
|
| 1002 |
+
standing/standing_el_110
|
| 1003 |
+
standing/standing_el_127
|
| 1004 |
+
standing/standing_el_133
|
| 1005 |
+
standing/standing_el_134
|
| 1006 |
+
standing/standing_el_139
|
| 1007 |
+
standing/standing_el_140
|
| 1008 |
+
standing/standing_el_150
|
| 1009 |
+
standing/standing_el_176
|
| 1010 |
+
standing/standing_el_178
|
| 1011 |
+
standing/standing_el_181
|
| 1012 |
+
standing/standing_el_189
|
| 1013 |
+
standing/standing_el_200
|
| 1014 |
+
standing/standing_mi_016
|
| 1015 |
+
standing/standing_mi_022
|
| 1016 |
+
standing/standing_mi_038
|
| 1017 |
+
standing/standing_mi_085
|
| 1018 |
+
standing/standing_mi_092
|
| 1019 |
+
standing/standing_mi_117
|
| 1020 |
+
standing/standing_mi_133
|
| 1021 |
+
standing/standing_mi_134
|
| 1022 |
+
standing/standing_mi_146
|
| 1023 |
+
standing/standing_mi_148
|
| 1024 |
+
standing/standing_mi_169
|
| 1025 |
+
standing/standing_mi_175
|
| 1026 |
+
standing/standing_mi_178
|
| 1027 |
+
standing/standing_mi_180
|
| 1028 |
+
standing/standing_mi_196
|
| 1029 |
+
standing/standing_te_002
|
| 1030 |
+
standing/standing_te_010
|
| 1031 |
+
standing/standing_te_012
|
| 1032 |
+
standing/standing_te_041
|
| 1033 |
+
standing/standing_te_045
|
| 1034 |
+
standing/standing_te_047
|
| 1035 |
+
standing/standing_te_049
|
| 1036 |
+
standing/standing_te_069
|
| 1037 |
+
standing/standing_te_070
|
| 1038 |
+
standing/standing_te_077
|
| 1039 |
+
standing/standing_te_081
|
| 1040 |
+
standing/standing_te_100
|
| 1041 |
+
standing/standing_te_113
|
| 1042 |
+
standing/standing_te_119
|
| 1043 |
+
standing/standing_te_123
|
| 1044 |
+
standing/standing_te_140
|
| 1045 |
+
standing/standing_te_141
|
| 1046 |
+
standing/standing_te_171
|
| 1047 |
+
standing/standing_te_184
|
| 1048 |
+
standing/standing_te_192
|
| 1049 |
+
standing/standing_te_193
|
| 1050 |
+
standing/standing_to_001
|
| 1051 |
+
standing/standing_to_004
|
| 1052 |
+
standing/standing_to_014
|
| 1053 |
+
standing/standing_to_016
|
| 1054 |
+
standing/standing_to_039
|
| 1055 |
+
standing/standing_to_048
|
| 1056 |
+
standing/standing_to_051
|
| 1057 |
+
standing/standing_to_069
|
| 1058 |
+
standing/standing_to_077
|
| 1059 |
+
standing/standing_to_086
|
| 1060 |
+
standing/standing_to_102
|
| 1061 |
+
standing/standing_to_111
|
| 1062 |
+
standing/standing_to_131
|
| 1063 |
+
standing/standing_to_133
|
| 1064 |
+
standing/standing_to_176
|
| 1065 |
+
standing/standing_to_183
|
| 1066 |
+
standing/standing_to_188
|
| 1067 |
+
standing/standing_yo_010
|
| 1068 |
+
standing/standing_yo_011
|
| 1069 |
+
standing/standing_yo_013
|
| 1070 |
+
standing/standing_yo_018
|
| 1071 |
+
standing/standing_yo_047
|
| 1072 |
+
standing/standing_yo_048
|
| 1073 |
+
standing/standing_yo_052
|
| 1074 |
+
standing/standing_yo_058
|
| 1075 |
+
standing/standing_yo_075
|
| 1076 |
+
standing/standing_yo_079
|
| 1077 |
+
standing/standing_yo_083
|
| 1078 |
+
standing/standing_yo_085
|
| 1079 |
+
standing/standing_yo_107
|
| 1080 |
+
standing/standing_yo_115
|
| 1081 |
+
standing/standing_yo_127
|
| 1082 |
+
standing/standing_yo_128
|
| 1083 |
+
standing/standing_yo_139
|
| 1084 |
+
standing/standing_yo_149
|
| 1085 |
+
standing/standing_yo_171
|
| 1086 |
+
standing/standing_yo_176
|
| 1087 |
+
standing/standing_yo_195
|
| 1088 |
+
standing/standing_yo_197
|
| 1089 |
+
walking/walking_ch_010
|
| 1090 |
+
walking/walking_ch_013
|
| 1091 |
+
walking/walking_ch_014
|
| 1092 |
+
walking/walking_ch_021
|
| 1093 |
+
walking/walking_ch_033
|
| 1094 |
+
walking/walking_ch_035
|
| 1095 |
+
walking/walking_ch_039
|
| 1096 |
+
walking/walking_ch_045
|
| 1097 |
+
walking/walking_ch_056
|
| 1098 |
+
walking/walking_ch_063
|
| 1099 |
+
walking/walking_ch_069
|
| 1100 |
+
walking/walking_ch_077
|
| 1101 |
+
walking/walking_ch_079
|
| 1102 |
+
walking/walking_ch_083
|
| 1103 |
+
walking/walking_ch_095
|
| 1104 |
+
walking/walking_ch_127
|
| 1105 |
+
walking/walking_ch_128
|
| 1106 |
+
walking/walking_ch_138
|
| 1107 |
+
walking/walking_ch_143
|
| 1108 |
+
walking/walking_ch_148
|
| 1109 |
+
walking/walking_ch_159
|
| 1110 |
+
walking/walking_ch_161
|
| 1111 |
+
walking/walking_ch_169
|
| 1112 |
+
walking/walking_ch_173
|
| 1113 |
+
walking/walking_ch_176
|
| 1114 |
+
walking/walking_ch_181
|
| 1115 |
+
walking/walking_ch_188
|
| 1116 |
+
walking/walking_el_005
|
| 1117 |
+
walking/walking_el_024
|
| 1118 |
+
walking/walking_el_033
|
| 1119 |
+
walking/walking_el_060
|
| 1120 |
+
walking/walking_el_063
|
| 1121 |
+
walking/walking_el_070
|
| 1122 |
+
walking/walking_el_080
|
| 1123 |
+
walking/walking_el_088
|
| 1124 |
+
walking/walking_el_098
|
| 1125 |
+
walking/walking_el_110
|
| 1126 |
+
walking/walking_el_128
|
| 1127 |
+
walking/walking_el_134
|
| 1128 |
+
walking/walking_el_146
|
| 1129 |
+
walking/walking_el_150
|
| 1130 |
+
walking/walking_el_165
|
| 1131 |
+
walking/walking_el_170
|
| 1132 |
+
walking/walking_el_175
|
| 1133 |
+
walking/walking_el_188
|
| 1134 |
+
walking/walking_el_200
|
| 1135 |
+
walking/walking_mi_011
|
| 1136 |
+
walking/walking_mi_017
|
| 1137 |
+
walking/walking_mi_033
|
| 1138 |
+
walking/walking_mi_053
|
| 1139 |
+
walking/walking_mi_054
|
| 1140 |
+
walking/walking_mi_061
|
| 1141 |
+
walking/walking_mi_064
|
| 1142 |
+
walking/walking_mi_067
|
| 1143 |
+
walking/walking_mi_075
|
| 1144 |
+
walking/walking_mi_081
|
| 1145 |
+
walking/walking_mi_096
|
| 1146 |
+
walking/walking_mi_103
|
| 1147 |
+
walking/walking_mi_122
|
| 1148 |
+
walking/walking_mi_186
|
| 1149 |
+
walking/walking_te_013
|
| 1150 |
+
walking/walking_te_024
|
| 1151 |
+
walking/walking_te_037
|
| 1152 |
+
walking/walking_te_039
|
| 1153 |
+
walking/walking_te_045
|
| 1154 |
+
walking/walking_te_046
|
| 1155 |
+
walking/walking_te_090
|
| 1156 |
+
walking/walking_te_091
|
| 1157 |
+
walking/walking_te_099
|
| 1158 |
+
walking/walking_te_123
|
| 1159 |
+
walking/walking_te_127
|
| 1160 |
+
walking/walking_te_139
|
| 1161 |
+
walking/walking_te_144
|
| 1162 |
+
walking/walking_te_148
|
| 1163 |
+
walking/walking_te_161
|
| 1164 |
+
walking/walking_te_162
|
| 1165 |
+
walking/walking_te_183
|
| 1166 |
+
walking/walking_te_188
|
| 1167 |
+
walking/walking_te_198
|
| 1168 |
+
walking/walking_to_001
|
| 1169 |
+
walking/walking_to_062
|
| 1170 |
+
walking/walking_to_081
|
| 1171 |
+
walking/walking_to_091
|
| 1172 |
+
walking/walking_to_094
|
| 1173 |
+
walking/walking_to_100
|
| 1174 |
+
walking/walking_to_101
|
| 1175 |
+
walking/walking_to_128
|
| 1176 |
+
walking/walking_to_132
|
| 1177 |
+
walking/walking_to_135
|
| 1178 |
+
walking/walking_to_143
|
| 1179 |
+
walking/walking_to_160
|
| 1180 |
+
walking/walking_to_163
|
| 1181 |
+
walking/walking_to_174
|
| 1182 |
+
walking/walking_to_182
|
| 1183 |
+
walking/walking_to_192
|
| 1184 |
+
walking/walking_to_193
|
| 1185 |
+
walking/walking_yo_009
|
| 1186 |
+
walking/walking_yo_011
|
| 1187 |
+
walking/walking_yo_018
|
| 1188 |
+
walking/walking_yo_029
|
| 1189 |
+
walking/walking_yo_031
|
| 1190 |
+
walking/walking_yo_043
|
| 1191 |
+
walking/walking_yo_046
|
| 1192 |
+
walking/walking_yo_050
|
| 1193 |
+
walking/walking_yo_063
|
| 1194 |
+
walking/walking_yo_111
|
| 1195 |
+
walking/walking_yo_115
|
| 1196 |
+
walking/walking_yo_149
|
| 1197 |
+
walking/walking_yo_152
|
| 1198 |
+
walking/walking_yo_153
|
| 1199 |
+
walking/walking_yo_169
|
| 1200 |
+
walking/walking_yo_176
|
| 1201 |
+
walking/walking_yo_188
|
splits/train.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
splits/val.csv
ADDED
|
@@ -0,0 +1,1201 @@
|
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|
| 1 |
+
path
|
| 2 |
+
fall/fall_ch_026
|
| 3 |
+
fall/fall_ch_047
|
| 4 |
+
fall/fall_ch_085
|
| 5 |
+
fall/fall_ch_087
|
| 6 |
+
fall/fall_ch_101
|
| 7 |
+
fall/fall_ch_126
|
| 8 |
+
fall/fall_ch_127
|
| 9 |
+
fall/fall_ch_133
|
| 10 |
+
fall/fall_ch_134
|
| 11 |
+
fall/fall_ch_154
|
| 12 |
+
fall/fall_el_029
|
| 13 |
+
fall/fall_el_044
|
| 14 |
+
fall/fall_el_059
|
| 15 |
+
fall/fall_el_067
|
| 16 |
+
fall/fall_el_070
|
| 17 |
+
fall/fall_el_073
|
| 18 |
+
fall/fall_el_099
|
| 19 |
+
fall/fall_el_108
|
| 20 |
+
fall/fall_el_111
|
| 21 |
+
fall/fall_el_112
|
| 22 |
+
fall/fall_el_142
|
| 23 |
+
fall/fall_el_150
|
| 24 |
+
fall/fall_el_160
|
| 25 |
+
fall/fall_el_180
|
| 26 |
+
fall/fall_mi_011
|
| 27 |
+
fall/fall_mi_023
|
| 28 |
+
fall/fall_mi_025
|
| 29 |
+
fall/fall_mi_031
|
| 30 |
+
fall/fall_mi_037
|
| 31 |
+
fall/fall_mi_062
|
| 32 |
+
fall/fall_mi_065
|
| 33 |
+
fall/fall_mi_097
|
| 34 |
+
fall/fall_mi_103
|
| 35 |
+
fall/fall_mi_111
|
| 36 |
+
fall/fall_mi_118
|
| 37 |
+
fall/fall_mi_131
|
| 38 |
+
fall/fall_mi_137
|
| 39 |
+
fall/fall_mi_147
|
| 40 |
+
fall/fall_mi_171
|
| 41 |
+
fall/fall_mi_196
|
| 42 |
+
fall/fall_mi_200
|
| 43 |
+
fall/fall_te_006
|
| 44 |
+
fall/fall_te_010
|
| 45 |
+
fall/fall_te_012
|
| 46 |
+
fall/fall_te_017
|
| 47 |
+
fall/fall_te_019
|
| 48 |
+
fall/fall_te_028
|
| 49 |
+
fall/fall_te_038
|
| 50 |
+
fall/fall_te_042
|
| 51 |
+
fall/fall_te_046
|
| 52 |
+
fall/fall_te_075
|
| 53 |
+
fall/fall_te_087
|
| 54 |
+
fall/fall_te_090
|
| 55 |
+
fall/fall_te_094
|
| 56 |
+
fall/fall_te_111
|
| 57 |
+
fall/fall_te_114
|
| 58 |
+
fall/fall_te_118
|
| 59 |
+
fall/fall_te_127
|
| 60 |
+
fall/fall_te_142
|
| 61 |
+
fall/fall_te_143
|
| 62 |
+
fall/fall_te_145
|
| 63 |
+
fall/fall_te_183
|
| 64 |
+
fall/fall_te_184
|
| 65 |
+
fall/fall_te_198
|
| 66 |
+
fall/fall_to_004
|
| 67 |
+
fall/fall_to_016
|
| 68 |
+
fall/fall_to_030
|
| 69 |
+
fall/fall_to_032
|
| 70 |
+
fall/fall_to_039
|
| 71 |
+
fall/fall_to_043
|
| 72 |
+
fall/fall_to_055
|
| 73 |
+
fall/fall_to_058
|
| 74 |
+
fall/fall_to_059
|
| 75 |
+
fall/fall_to_061
|
| 76 |
+
fall/fall_to_062
|
| 77 |
+
fall/fall_to_073
|
| 78 |
+
fall/fall_to_098
|
| 79 |
+
fall/fall_to_108
|
| 80 |
+
fall/fall_to_121
|
| 81 |
+
fall/fall_to_133
|
| 82 |
+
fall/fall_to_140
|
| 83 |
+
fall/fall_to_170
|
| 84 |
+
fall/fall_to_182
|
| 85 |
+
fall/fall_to_183
|
| 86 |
+
fall/fall_to_193
|
| 87 |
+
fall/fall_to_197
|
| 88 |
+
fall/fall_yo_014
|
| 89 |
+
fall/fall_yo_030
|
| 90 |
+
fall/fall_yo_034
|
| 91 |
+
fall/fall_yo_036
|
| 92 |
+
fall/fall_yo_042
|
| 93 |
+
fall/fall_yo_064
|
| 94 |
+
fall/fall_yo_077
|
| 95 |
+
fall/fall_yo_078
|
| 96 |
+
fall/fall_yo_080
|
| 97 |
+
fall/fall_yo_100
|
| 98 |
+
fall/fall_yo_102
|
| 99 |
+
fall/fall_yo_107
|
| 100 |
+
fall/fall_yo_109
|
| 101 |
+
fall/fall_yo_119
|
| 102 |
+
fall/fall_yo_141
|
| 103 |
+
fall/fall_yo_181
|
| 104 |
+
fall/fall_yo_196
|
| 105 |
+
fallen/fallen_ch_005
|
| 106 |
+
fallen/fallen_ch_009
|
| 107 |
+
fallen/fallen_ch_011
|
| 108 |
+
fallen/fallen_ch_016
|
| 109 |
+
fallen/fallen_ch_034
|
| 110 |
+
fallen/fallen_ch_035
|
| 111 |
+
fallen/fallen_ch_052
|
| 112 |
+
fallen/fallen_ch_058
|
| 113 |
+
fallen/fallen_ch_060
|
| 114 |
+
fallen/fallen_ch_065
|
| 115 |
+
fallen/fallen_ch_076
|
| 116 |
+
fallen/fallen_ch_089
|
| 117 |
+
fallen/fallen_ch_093
|
| 118 |
+
fallen/fallen_ch_094
|
| 119 |
+
fallen/fallen_ch_095
|
| 120 |
+
fallen/fallen_ch_099
|
| 121 |
+
fallen/fallen_ch_112
|
| 122 |
+
fallen/fallen_ch_124
|
| 123 |
+
fallen/fallen_ch_136
|
| 124 |
+
fallen/fallen_ch_137
|
| 125 |
+
fallen/fallen_ch_138
|
| 126 |
+
fallen/fallen_ch_154
|
| 127 |
+
fallen/fallen_ch_175
|
| 128 |
+
fallen/fallen_ch_182
|
| 129 |
+
fallen/fallen_ch_189
|
| 130 |
+
fallen/fallen_ch_192
|
| 131 |
+
fallen/fallen_ch_199
|
| 132 |
+
fallen/fallen_el_013
|
| 133 |
+
fallen/fallen_el_039
|
| 134 |
+
fallen/fallen_el_044
|
| 135 |
+
fallen/fallen_el_066
|
| 136 |
+
fallen/fallen_el_076
|
| 137 |
+
fallen/fallen_el_077
|
| 138 |
+
fallen/fallen_el_080
|
| 139 |
+
fallen/fallen_el_102
|
| 140 |
+
fallen/fallen_el_103
|
| 141 |
+
fallen/fallen_el_104
|
| 142 |
+
fallen/fallen_el_132
|
| 143 |
+
fallen/fallen_el_149
|
| 144 |
+
fallen/fallen_el_158
|
| 145 |
+
fallen/fallen_el_183
|
| 146 |
+
fallen/fallen_el_187
|
| 147 |
+
fallen/fallen_el_192
|
| 148 |
+
fallen/fallen_el_193
|
| 149 |
+
fallen/fallen_mi_023
|
| 150 |
+
fallen/fallen_mi_024
|
| 151 |
+
fallen/fallen_mi_025
|
| 152 |
+
fallen/fallen_mi_028
|
| 153 |
+
fallen/fallen_mi_042
|
| 154 |
+
fallen/fallen_mi_058
|
| 155 |
+
fallen/fallen_mi_096
|
| 156 |
+
fallen/fallen_mi_099
|
| 157 |
+
fallen/fallen_mi_135
|
| 158 |
+
fallen/fallen_mi_140
|
| 159 |
+
fallen/fallen_mi_148
|
| 160 |
+
fallen/fallen_mi_162
|
| 161 |
+
fallen/fallen_mi_169
|
| 162 |
+
fallen/fallen_mi_174
|
| 163 |
+
fallen/fallen_mi_176
|
| 164 |
+
fallen/fallen_mi_187
|
| 165 |
+
fallen/fallen_mi_190
|
| 166 |
+
fallen/fallen_mi_196
|
| 167 |
+
fallen/fallen_te_001
|
| 168 |
+
fallen/fallen_te_002
|
| 169 |
+
fallen/fallen_te_017
|
| 170 |
+
fallen/fallen_te_022
|
| 171 |
+
fallen/fallen_te_063
|
| 172 |
+
fallen/fallen_te_065
|
| 173 |
+
fallen/fallen_te_069
|
| 174 |
+
fallen/fallen_te_083
|
| 175 |
+
fallen/fallen_te_087
|
| 176 |
+
fallen/fallen_te_088
|
| 177 |
+
fallen/fallen_te_103
|
| 178 |
+
fallen/fallen_te_112
|
| 179 |
+
fallen/fallen_te_130
|
| 180 |
+
fallen/fallen_te_147
|
| 181 |
+
fallen/fallen_te_166
|
| 182 |
+
fallen/fallen_te_197
|
| 183 |
+
fallen/fallen_to_002
|
| 184 |
+
fallen/fallen_to_003
|
| 185 |
+
fallen/fallen_to_008
|
| 186 |
+
fallen/fallen_to_010
|
| 187 |
+
fallen/fallen_to_025
|
| 188 |
+
fallen/fallen_to_035
|
| 189 |
+
fallen/fallen_to_040
|
| 190 |
+
fallen/fallen_to_043
|
| 191 |
+
fallen/fallen_to_051
|
| 192 |
+
fallen/fallen_to_054
|
| 193 |
+
fallen/fallen_to_064
|
| 194 |
+
fallen/fallen_to_068
|
| 195 |
+
fallen/fallen_to_077
|
| 196 |
+
fallen/fallen_to_094
|
| 197 |
+
fallen/fallen_to_103
|
| 198 |
+
fallen/fallen_to_109
|
| 199 |
+
fallen/fallen_to_113
|
| 200 |
+
fallen/fallen_to_115
|
| 201 |
+
fallen/fallen_to_117
|
| 202 |
+
fallen/fallen_to_127
|
| 203 |
+
fallen/fallen_to_130
|
| 204 |
+
fallen/fallen_to_132
|
| 205 |
+
fallen/fallen_to_143
|
| 206 |
+
fallen/fallen_to_148
|
| 207 |
+
fallen/fallen_to_154
|
| 208 |
+
fallen/fallen_to_160
|
| 209 |
+
fallen/fallen_to_166
|
| 210 |
+
fallen/fallen_to_186
|
| 211 |
+
fallen/fallen_to_195
|
| 212 |
+
fallen/fallen_yo_010
|
| 213 |
+
fallen/fallen_yo_023
|
| 214 |
+
fallen/fallen_yo_041
|
| 215 |
+
fallen/fallen_yo_046
|
| 216 |
+
fallen/fallen_yo_049
|
| 217 |
+
fallen/fallen_yo_050
|
| 218 |
+
fallen/fallen_yo_053
|
| 219 |
+
fallen/fallen_yo_054
|
| 220 |
+
fallen/fallen_yo_055
|
| 221 |
+
fallen/fallen_yo_056
|
| 222 |
+
fallen/fallen_yo_063
|
| 223 |
+
fallen/fallen_yo_074
|
| 224 |
+
fallen/fallen_yo_076
|
| 225 |
+
fallen/fallen_yo_091
|
| 226 |
+
fallen/fallen_yo_107
|
| 227 |
+
fallen/fallen_yo_109
|
| 228 |
+
fallen/fallen_yo_118
|
| 229 |
+
fallen/fallen_yo_125
|
| 230 |
+
fallen/fallen_yo_140
|
| 231 |
+
fallen/fallen_yo_145
|
| 232 |
+
fallen/fallen_yo_148
|
| 233 |
+
fallen/fallen_yo_153
|
| 234 |
+
fallen/fallen_yo_154
|
| 235 |
+
fallen/fallen_yo_164
|
| 236 |
+
fallen/fallen_yo_171
|
| 237 |
+
fallen/fallen_yo_186
|
| 238 |
+
fallen/fallen_yo_193
|
| 239 |
+
fallen/fallen_yo_200
|
| 240 |
+
lie_down/lie_down_ch_020
|
| 241 |
+
lie_down/lie_down_ch_022
|
| 242 |
+
lie_down/lie_down_ch_031
|
| 243 |
+
lie_down/lie_down_ch_041
|
| 244 |
+
lie_down/lie_down_ch_050
|
| 245 |
+
lie_down/lie_down_ch_064
|
| 246 |
+
lie_down/lie_down_ch_074
|
| 247 |
+
lie_down/lie_down_ch_082
|
| 248 |
+
lie_down/lie_down_ch_101
|
| 249 |
+
lie_down/lie_down_ch_108
|
| 250 |
+
lie_down/lie_down_ch_114
|
| 251 |
+
lie_down/lie_down_ch_127
|
| 252 |
+
lie_down/lie_down_ch_128
|
| 253 |
+
lie_down/lie_down_ch_132
|
| 254 |
+
lie_down/lie_down_ch_136
|
| 255 |
+
lie_down/lie_down_ch_139
|
| 256 |
+
lie_down/lie_down_ch_150
|
| 257 |
+
lie_down/lie_down_ch_179
|
| 258 |
+
lie_down/lie_down_ch_181
|
| 259 |
+
lie_down/lie_down_ch_188
|
| 260 |
+
lie_down/lie_down_ch_189
|
| 261 |
+
lie_down/lie_down_ch_190
|
| 262 |
+
lie_down/lie_down_el_001
|
| 263 |
+
lie_down/lie_down_el_011
|
| 264 |
+
lie_down/lie_down_el_017
|
| 265 |
+
lie_down/lie_down_el_027
|
| 266 |
+
lie_down/lie_down_el_054
|
| 267 |
+
lie_down/lie_down_el_056
|
| 268 |
+
lie_down/lie_down_el_059
|
| 269 |
+
lie_down/lie_down_el_096
|
| 270 |
+
lie_down/lie_down_el_113
|
| 271 |
+
lie_down/lie_down_el_131
|
| 272 |
+
lie_down/lie_down_el_155
|
| 273 |
+
lie_down/lie_down_el_163
|
| 274 |
+
lie_down/lie_down_el_186
|
| 275 |
+
lie_down/lie_down_el_194
|
| 276 |
+
lie_down/lie_down_mi_005
|
| 277 |
+
lie_down/lie_down_mi_016
|
| 278 |
+
lie_down/lie_down_mi_028
|
| 279 |
+
lie_down/lie_down_mi_029
|
| 280 |
+
lie_down/lie_down_mi_038
|
| 281 |
+
lie_down/lie_down_mi_043
|
| 282 |
+
lie_down/lie_down_mi_053
|
| 283 |
+
lie_down/lie_down_mi_055
|
| 284 |
+
lie_down/lie_down_mi_059
|
| 285 |
+
lie_down/lie_down_mi_069
|
| 286 |
+
lie_down/lie_down_mi_078
|
| 287 |
+
lie_down/lie_down_mi_079
|
| 288 |
+
lie_down/lie_down_mi_081
|
| 289 |
+
lie_down/lie_down_mi_103
|
| 290 |
+
lie_down/lie_down_mi_151
|
| 291 |
+
lie_down/lie_down_mi_154
|
| 292 |
+
lie_down/lie_down_mi_156
|
| 293 |
+
lie_down/lie_down_mi_157
|
| 294 |
+
lie_down/lie_down_mi_163
|
| 295 |
+
lie_down/lie_down_mi_173
|
| 296 |
+
lie_down/lie_down_mi_182
|
| 297 |
+
lie_down/lie_down_mi_187
|
| 298 |
+
lie_down/lie_down_te_049
|
| 299 |
+
lie_down/lie_down_te_061
|
| 300 |
+
lie_down/lie_down_te_069
|
| 301 |
+
lie_down/lie_down_te_085
|
| 302 |
+
lie_down/lie_down_te_110
|
| 303 |
+
lie_down/lie_down_te_111
|
| 304 |
+
lie_down/lie_down_te_116
|
| 305 |
+
lie_down/lie_down_te_126
|
| 306 |
+
lie_down/lie_down_te_132
|
| 307 |
+
lie_down/lie_down_te_146
|
| 308 |
+
lie_down/lie_down_te_177
|
| 309 |
+
lie_down/lie_down_te_179
|
| 310 |
+
lie_down/lie_down_te_190
|
| 311 |
+
lie_down/lie_down_to_017
|
| 312 |
+
lie_down/lie_down_to_033
|
| 313 |
+
lie_down/lie_down_to_062
|
| 314 |
+
lie_down/lie_down_to_064
|
| 315 |
+
lie_down/lie_down_to_068
|
| 316 |
+
lie_down/lie_down_to_069
|
| 317 |
+
lie_down/lie_down_to_072
|
| 318 |
+
lie_down/lie_down_to_080
|
| 319 |
+
lie_down/lie_down_to_090
|
| 320 |
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sit_down/sit_down_yo_160
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| 698 |
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| 699 |
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| 828 |
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| 829 |
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| 830 |
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| 832 |
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| 833 |
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| 834 |
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| 835 |
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standing/standing_mi_019
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| 998 |
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| 1011 |
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| 1021 |
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| 1022 |
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| 1023 |
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standing/standing_te_188
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| 1024 |
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| 1025 |
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| 1026 |
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standing/standing_to_011
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| 1027 |
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| 1028 |
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| 1029 |
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standing/standing_to_031
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| 1030 |
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standing/standing_to_050
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| 1031 |
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standing/standing_to_052
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| 1032 |
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| 1033 |
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| 1034 |
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standing/standing_to_078
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| 1035 |
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standing/standing_to_079
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| 1036 |
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standing/standing_to_096
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| 1037 |
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standing/standing_to_100
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| 1038 |
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standing/standing_to_103
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| 1039 |
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standing/standing_to_114
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| 1040 |
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standing/standing_to_122
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| 1041 |
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standing/standing_to_125
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| 1042 |
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standing/standing_to_126
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| 1043 |
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| 1044 |
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| 1045 |
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standing/standing_to_164
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| 1046 |
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standing/standing_to_165
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| 1047 |
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standing/standing_to_190
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| 1048 |
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standing/standing_yo_012
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| 1049 |
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standing/standing_yo_029
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| 1050 |
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standing/standing_yo_034
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| 1051 |
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standing/standing_yo_038
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| 1052 |
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standing/standing_yo_041
|
| 1053 |
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standing/standing_yo_054
|
| 1054 |
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standing/standing_yo_064
|
| 1055 |
+
standing/standing_yo_065
|
| 1056 |
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standing/standing_yo_094
|
| 1057 |
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standing/standing_yo_095
|
| 1058 |
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standing/standing_yo_096
|
| 1059 |
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standing/standing_yo_110
|
| 1060 |
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standing/standing_yo_119
|
| 1061 |
+
standing/standing_yo_133
|
| 1062 |
+
standing/standing_yo_134
|
| 1063 |
+
standing/standing_yo_138
|
| 1064 |
+
standing/standing_yo_140
|
| 1065 |
+
standing/standing_yo_148
|
| 1066 |
+
standing/standing_yo_161
|
| 1067 |
+
standing/standing_yo_173
|
| 1068 |
+
standing/standing_yo_179
|
| 1069 |
+
standing/standing_yo_181
|
| 1070 |
+
standing/standing_yo_189
|
| 1071 |
+
standing/standing_yo_190
|
| 1072 |
+
standing/standing_yo_193
|
| 1073 |
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walking/walking_ch_003
|
| 1074 |
+
walking/walking_ch_005
|
| 1075 |
+
walking/walking_ch_016
|
| 1076 |
+
walking/walking_ch_017
|
| 1077 |
+
walking/walking_ch_027
|
| 1078 |
+
walking/walking_ch_032
|
| 1079 |
+
walking/walking_ch_049
|
| 1080 |
+
walking/walking_ch_058
|
| 1081 |
+
walking/walking_ch_059
|
| 1082 |
+
walking/walking_ch_071
|
| 1083 |
+
walking/walking_ch_073
|
| 1084 |
+
walking/walking_ch_081
|
| 1085 |
+
walking/walking_ch_100
|
| 1086 |
+
walking/walking_ch_109
|
| 1087 |
+
walking/walking_ch_111
|
| 1088 |
+
walking/walking_ch_115
|
| 1089 |
+
walking/walking_ch_118
|
| 1090 |
+
walking/walking_ch_119
|
| 1091 |
+
walking/walking_ch_131
|
| 1092 |
+
walking/walking_ch_151
|
| 1093 |
+
walking/walking_ch_167
|
| 1094 |
+
walking/walking_ch_171
|
| 1095 |
+
walking/walking_ch_174
|
| 1096 |
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walking/walking_ch_179
|
| 1097 |
+
walking/walking_ch_195
|
| 1098 |
+
walking/walking_el_001
|
| 1099 |
+
walking/walking_el_007
|
| 1100 |
+
walking/walking_el_029
|
| 1101 |
+
walking/walking_el_035
|
| 1102 |
+
walking/walking_el_039
|
| 1103 |
+
walking/walking_el_044
|
| 1104 |
+
walking/walking_el_068
|
| 1105 |
+
walking/walking_el_077
|
| 1106 |
+
walking/walking_el_079
|
| 1107 |
+
walking/walking_el_086
|
| 1108 |
+
walking/walking_el_095
|
| 1109 |
+
walking/walking_el_109
|
| 1110 |
+
walking/walking_el_113
|
| 1111 |
+
walking/walking_el_119
|
| 1112 |
+
walking/walking_el_145
|
| 1113 |
+
walking/walking_el_147
|
| 1114 |
+
walking/walking_el_160
|
| 1115 |
+
walking/walking_el_171
|
| 1116 |
+
walking/walking_el_174
|
| 1117 |
+
walking/walking_el_177
|
| 1118 |
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walking/walking_mi_002
|
| 1119 |
+
walking/walking_mi_019
|
| 1120 |
+
walking/walking_mi_020
|
| 1121 |
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walking/walking_mi_022
|
| 1122 |
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walking/walking_mi_024
|
| 1123 |
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walking/walking_mi_027
|
| 1124 |
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walking/walking_mi_034
|
| 1125 |
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walking/walking_mi_050
|
| 1126 |
+
walking/walking_mi_057
|
| 1127 |
+
walking/walking_mi_063
|
| 1128 |
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walking/walking_mi_065
|
| 1129 |
+
walking/walking_mi_068
|
| 1130 |
+
walking/walking_mi_085
|
| 1131 |
+
walking/walking_mi_086
|
| 1132 |
+
walking/walking_mi_099
|
| 1133 |
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walking/walking_mi_129
|
| 1134 |
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walking/walking_mi_135
|
| 1135 |
+
walking/walking_mi_137
|
| 1136 |
+
walking/walking_mi_141
|
| 1137 |
+
walking/walking_mi_142
|
| 1138 |
+
walking/walking_mi_149
|
| 1139 |
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walking/walking_mi_164
|
| 1140 |
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walking/walking_mi_172
|
| 1141 |
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walking/walking_mi_173
|
| 1142 |
+
walking/walking_mi_175
|
| 1143 |
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walking/walking_mi_178
|
| 1144 |
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walking/walking_mi_191
|
| 1145 |
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walking/walking_te_007
|
| 1146 |
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walking/walking_te_010
|
| 1147 |
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walking/walking_te_034
|
| 1148 |
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walking/walking_te_036
|
| 1149 |
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walking/walking_te_040
|
| 1150 |
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walking/walking_te_058
|
| 1151 |
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walking/walking_te_086
|
| 1152 |
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walking/walking_te_107
|
| 1153 |
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walking/walking_te_114
|
| 1154 |
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walking/walking_te_122
|
| 1155 |
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walking/walking_te_135
|
| 1156 |
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walking/walking_te_136
|
| 1157 |
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walking/walking_te_142
|
| 1158 |
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walking/walking_te_159
|
| 1159 |
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walking/walking_te_165
|
| 1160 |
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walking/walking_te_168
|
| 1161 |
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walking/walking_te_174
|
| 1162 |
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walking/walking_te_187
|
| 1163 |
+
walking/walking_te_191
|
| 1164 |
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walking/walking_te_192
|
| 1165 |
+
walking/walking_te_195
|
| 1166 |
+
walking/walking_te_200
|
| 1167 |
+
walking/walking_to_012
|
| 1168 |
+
walking/walking_to_032
|
| 1169 |
+
walking/walking_to_035
|
| 1170 |
+
walking/walking_to_037
|
| 1171 |
+
walking/walking_to_060
|
| 1172 |
+
walking/walking_to_068
|
| 1173 |
+
walking/walking_to_070
|
| 1174 |
+
walking/walking_to_087
|
| 1175 |
+
walking/walking_to_095
|
| 1176 |
+
walking/walking_to_108
|
| 1177 |
+
walking/walking_to_110
|
| 1178 |
+
walking/walking_to_136
|
| 1179 |
+
walking/walking_to_168
|
| 1180 |
+
walking/walking_to_175
|
| 1181 |
+
walking/walking_to_181
|
| 1182 |
+
walking/walking_yo_020
|
| 1183 |
+
walking/walking_yo_021
|
| 1184 |
+
walking/walking_yo_023
|
| 1185 |
+
walking/walking_yo_024
|
| 1186 |
+
walking/walking_yo_025
|
| 1187 |
+
walking/walking_yo_036
|
| 1188 |
+
walking/walking_yo_041
|
| 1189 |
+
walking/walking_yo_061
|
| 1190 |
+
walking/walking_yo_062
|
| 1191 |
+
walking/walking_yo_073
|
| 1192 |
+
walking/walking_yo_075
|
| 1193 |
+
walking/walking_yo_087
|
| 1194 |
+
walking/walking_yo_090
|
| 1195 |
+
walking/walking_yo_116
|
| 1196 |
+
walking/walking_yo_125
|
| 1197 |
+
walking/walking_yo_131
|
| 1198 |
+
walking/walking_yo_139
|
| 1199 |
+
walking/walking_yo_155
|
| 1200 |
+
walking/walking_yo_156
|
| 1201 |
+
walking/walking_yo_196
|