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Abstract:
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Recent advances in wearable technology, accompanied by the decreasing cost of data storage
and increase of data availability have made possible to take pictures everywhere at every
time. Wearable cameras are nowadays among the most popular wearable devices. Besides
leisure, wearable cameras are attracting a lot of attention for the improvement of working
conditions, productivity and safety monitoring. Since the collected data can be potentially
used for memory training and extracting lifestyle patterns useful to prevent
noncommunicable diseases as obesity, they are being investigated in the context of
Preventive Medicine. Most of these applications require to automatically recognize the
ability performed by the user. This work aims to make a step forwards towards activity
recognition from photo-streams captured by a wearable camera by developing a method that
allows to label new images with minial effort from the user and generalize well for unseen
users. |
