AI Article Synopsis
- Western societies are dealing with an increasing senior population and must explore new technologies to keep elderly individuals safe at home.
- Computer vision technology is effective for healthcare as it can analyze people's behavior and monitor activities remotely.
- The proposed method for fall detection uses a single camera to track the 3D trajectory of the head, distinguishing falls from normal activities by analyzing 3D velocities.
Article Abstract
Faced with the growing population of seniors, Western societies need to think about new technologies to ensure the safety of elderly people at home. Computer vision provides a good solution for healthcare systems because it allows a specific analysis of people behavior. Moreover, a system based on video surveillance is particularly well adapted to detect falls. We present a new method to detect falls using a single camera. Our approach is based on the 3D trajectory of the head, which allows us to distinguish falls from normal activities using 3D velocities.
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| http://dx.doi.org/10.1109/IEMBS.2006.260829 | DOI Listing |
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