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.
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Basili, L., DeMaso-Gentile, G., Scavongelli, C., Orcioni, S., Pirani, S., Conti, M. (2016). Fall Detection Using Wearable Accelerometers and Smartphone. In: Conti, M., Martínez Madrid, N., Seepold, R., Orcioni, S. (eds) Mobile Networks for Biometric Data Analysis. Lecture Notes in Electrical Engineering, vol 392. Springer, Cham. https://doi.org/10.1007/978-3-319-39700-9_24
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DOI: https://doi.org/10.1007/978-3-319-39700-9_24
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