Detection of falls among the elderly by a floor sensor using the electric near field

Authors:
Henry Rimminen;Juha Lindström;Matti Linnavuo;Raimo Sepponen
Affiliations:
Department of Electronics, Aalto University, Espoo, Finland;MariMils Oy, Vantaa, Finland;Department of Electronics, Aalto University, Espoo, Finland;Department of Electronics, Aalto University, Espoo, Finland
Venue:
IEEE Transactions on Information Technology in Biomedicine
Year:
2010

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Abstract

We present a new fall-detection method using a floor sensor based on near-field imaging. The test floor had a resolution of 9 × 16. The shape, size, and magnitude of the patterns are used for classification. A test including 650 events and ten people yielded a sensitivity of 91% and a specificity of 91%.