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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
