The governments are investing in research on solutions for independent living, active ageing, at home health monitoring, with the objective of a significant prolongation of personal autonomy of older people. Fall avoidance and fall detection are important aspects of health care of ageing people. The proposed fall detection system consists in a wireless network with a smartphone and a board with another 3-axis accelerometer. The algorithm for fall detection is a part of a user friendly application developed for the smartphone. A comparison with existing fall detection systems and algorithms is reported.

Fall Detection Using Wearable Accelerometers and Smartphone / Basili, Luca; DE MASO-GENTILE, Giuseppe; Scavongelli, Cristiano; Orcioni, Simone; Pirani, Stefano; Conti, Massimo. - 392:(2016), pp. 299-311. [10.1007/978-3-319-39700-9_24]

Fall Detection Using Wearable Accelerometers and Smartphone

DE MASO-GENTILE, GIUSEPPE;SCAVONGELLI, CRISTIANO;ORCIONI, Simone;PIRANI, Stefano;CONTI, MASSIMO
2016-01-01

Abstract

The governments are investing in research on solutions for independent living, active ageing, at home health monitoring, with the objective of a significant prolongation of personal autonomy of older people. Fall avoidance and fall detection are important aspects of health care of ageing people. The proposed fall detection system consists in a wireless network with a smartphone and a board with another 3-axis accelerometer. The algorithm for fall detection is a part of a user friendly application developed for the smartphone. A comparison with existing fall detection systems and algorithms is reported.
2016
Mobile Networks for Biometric Data Analysis
978-3-319-39698-9
978-3-319-39700-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/236330
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