F2D: A fall detection system tested with real data from daily life of elderly people

Abstract

Falls among older people remain a very important public healthcare issue. Every year over 11 million falls are registered in the U.S. alone. This paper presents a practical real time fall detection system running on a smartwatch (F2D). A decision module takes into account the rebound after the fall and the residual movement of the user, matching a detected… (More)
DOI: 10.1109/HealthCom.2015.7454533

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