Fall classification by machine learning using mobile phones

Source: PLoS ONE, 2012, 7 (5/e36556) p. 1-6

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Date of publication: May 2012

Publication type: Journal article

In a nutshell: With falls being a common source of injury in elderly people and the ability to automatically detect falls allowing rapid responses to potential emergencies, techniques have been developed to reliably detect a fall as well as to automatically classify the type. This study demonstrated technology that enables machines to identify a fall and collect information to quickly classify the type to enable a more rapid response.

Length of publication: 6 pages

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