A low power Freescale board with a three-axis capacitive accelerometer and a with Bluetooth connection has been programmed and used in connection with a smartphone for fall detection in Ambient Assisted Living applications. An algorithm for fall detection has been developed using the in-formation of the accelerometers of the board and of the smartphone. The algorithm is part of a user friendly applica-tion for the smartphone developed for signaling the falling event.
Low Power Fall Detection System / DE MASO-GENTILE, Giuseppe; Stefano, Malizia; Luca, Basili; Orcioni, Simone; Pirani, Stefano; Conti, Massimo. - ELETTRONICO. - 45:(2015), pp. 897-901. (Intervento presentato al convegno IFMBE 6th European Conference of the International Federation for Medical and Biological Engineering tenutosi a Dubrovnik, Coratia nel September 7-11, 2014) [10.1007/978-3-319-11128-5_223].
Low Power Fall Detection System
Giuseppe De Maso Gentile;ORCIONI, Simone;PIRANI, Stefano;CONTI, MASSIMO
2015-01-01
Abstract
A low power Freescale board with a three-axis capacitive accelerometer and a with Bluetooth connection has been programmed and used in connection with a smartphone for fall detection in Ambient Assisted Living applications. An algorithm for fall detection has been developed using the in-formation of the accelerometers of the board and of the smartphone. The algorithm is part of a user friendly applica-tion for the smartphone developed for signaling the falling event.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
