A survey on fall detection: Principles and approaches

Mubashir, Muhammad, Shao, Ling and Seed, Luke (2013) A survey on fall detection: Principles and approaches. Neurocomputing, 100. pp. 144-152. ISSN 0925-2312

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Abstract

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.

Item Type:	Article
Additional Information:	Published online 7-5-2012
Uncontrolled Keywords:	Fall detection; Healthcare; Visual surveillance; Vision-based systems; Patient monitoring
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Related URLs:	Publisher
Depositing User:	Paul Burns
Date Deposited:	10 Jun 2015 14:57
Last Modified:	10 Oct 2019 18:48
URI:	http://nrl.northumbria.ac.uk/id/eprint/22842

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