Viusal fall alert service in low computational power device to assist persons' with dementia
Nikolaos D. Doulamis · 2010
In this paper, we propose a computationally efficient fall detection algorithm which exploits visual observations. The proposed architecture is designed to be suitable for devices of low processing capabilities allowing a large scale implementation of the proposed IT technology in the area of aiding elderly or persons' with dementia. In contrast to other approaches, visual surveillance is more natural way for detecting persons' falls, especially for people of dementia where falls are often repeatedly. The algorithm has been evaluated in the lab and real-life clinical conditions, indicating a robust fall detection even in cases of high environmental changes.