Abstract
Detecting falls is important for ensuring the safety and health of elderly persons in ambient assisted living. After the recent introduction of an inexpensive depth sensor, the Microsoft Kinect, methods for detecting falls using depth data have been proposed. The aim of this paper is to evaluate the applicability of Kinect sensors for person detection and fall detection. The results indicate that these sensors are well suited for these tasks. However, the technology is not without limitations, which have to be considered when designing fall detection algorithms.
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