Abstract
Fall incidents and the sustained injuries represent the main causes of accidents for elderly people, and also the third cause of chronic disability. The rapid detection of a fall event can reduce the mortality risk, avoiding also the aggravation of injuries. In this paper an embedded healthcare system based on a microwave radar is presented. A Continuous Wave (CW) Doppler radar is used to detect the changes in speed of different persons experienced during daily activities, namely falling and normal/random movements. The resulted speed signals are then processed in real-time by a digital signal processor (DSP) in order to detect fall incidents. Experimental results, conducted on real human volunteers in a real room setting, have shown a success rate of 100 % in detecting fall events. Moreover, no false positives have been reported.
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This work was supported by FWO-Flanders, KU Leuven GOA Project, and the Hercules Foundation.
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Mercuri, M. et al. (2016). Healthcare System for Non-invasive Fall Detection in Indoor Environment. In: De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. Lecture Notes in Electrical Engineering, vol 351. Springer, Cham. https://doi.org/10.1007/978-3-319-20227-3_19
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DOI: https://doi.org/10.1007/978-3-319-20227-3_19
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