期刊
NEUROCOMPUTING
卷 100, 期 -, 页码 144-152出版社
ELSEVIER
DOI: 10.1016/j.neucom.2011.09.037
关键词
Fall detection; Healthcare; Visual surveillance; Vision-based systems; Patient monitoring
Fall detection is a major challenge in the public health care domain, especially for the elderly, and reliable surveillance is a necessity to mitigate the effects of falls. The technology and products related to fall detection have always been in high demand within the security and the health-care industries. An effective fall detection system is required to provide urgent support and to significantly reduce the medical care costs associated with falls. In this paper, we give a comprehensive survey of different systems for fall detection and their underlying algorithms. Fall detection approaches are divided into three main categories: wearable device based, ambience device based and vision based. These approaches are summarised and compared with each other and a conclusion is derived with some discussions on possible future work. (C) 2012 Elsevier B.V. All rights reserved.
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