  The featured dataset, the Event-based Dataset of Assembly Tasks (EDAT24),
showcases a selection of manufacturing primitive tasks (idle, pick, place, and
screw), which are basic actions performed by human operators in any
manufacturing assembly. The data were captured using a DAVIS240C event camera,
an asynchronous vision sensor that registers events when changes in light
intensity value occur. Events are a lightweight data format for conveying
visual information and are well-suited for real-time detection and analysis of
human motion. Each manufacturing primitive has 100 recorded samples of
DAVIS240C data, including events and greyscale frames, for a total of 400
samples. In the dataset, the user interacts with objects from the open-source
CT-Benchmark in front of the static DAVIS event camera. All data are made
available in raw form (.aedat) and in pre-processed form (.npy). Custom-built
Python code is made available together with the dataset to aid researchers to
add new manufacturing primitives or extend the dataset with more samples.
