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 information of the accelerometers of the board and of the smartphone. The algorithm is part of a user friendly application for the smartphone developed for signaling the falling event.
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© 2015 Springer International Publishing Switzerland
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De Maso-Gentile, G., Malizia, S., Basili, L., Orcioni, S., Pirani, S., Conti, M. (2015). Low Power Fall Detection System. In: Lacković, I., Vasic, D. (eds) 6th European Conference of the International Federation for Medical and Biological Engineering. IFMBE Proceedings, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-319-11128-5_223
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DOI: https://doi.org/10.1007/978-3-319-11128-5_223
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11127-8
Online ISBN: 978-3-319-11128-5
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