A survey on fall detection: principles and approaches

Source: Neurocomputing, 2013, vol 100, p. 144-152

Follow this link for abstract

Date of publication: January 2013

Publication type: Journal article

In a nutshell: Technology used for falls detection and surveillance is always in demand, as an effective fall detection system provides urgent support and reduces healthcare costs associated with falls. This paper surveys different systems for detecting falls, putting them into three separate categories: wearable device based, ambient device based and vision based. It compares them with each other and suggests inspiration for future work.

Length of publication: 8 pages

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.

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