  Contextual sensing using wearable cameras has seen a variety of different
camera angles proposed to capture a wide gamut of different visual scenes. In
this paper, we propose a new camera view that aims to capture the same visual
information as many of the camera positions and orientations combined from a
single camera view point. The camera, mounted on the corner of a glasses frame
is pointing downwards towards the floor, a field-of-view we named Personal
Activity Radius (PAR). The PAR field-of-view captures the visual information
around a wearer's personal bubble, including items they interact with, their
body motion, their surrounding environment, etc. In our evaluation, we tested
the PAR view's interpretability by human labelers in two different activity
tracking scenarios: food related behaviors and exercise tracking. Human
labelers achieved an overall high level of precision in identifying body
motions in exercise tracking of 91% precision and eating/drinking motions at
96% precision. Item interaction identification reached a precision of 86%
precision for labeling grocery categories. We show a high level on the device
setup and contextual views we were able to capture with the device. We see that
the camera wide angle captures different activities such as driving, shopping,
gym exercises, walking and eating and can observe the specific interaction item
of the user as well as the immediate contextual surrounding.
