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• W2166475680 abstract "Accidental slips and falls due to decreased strength and stability are a concern for the elderly. A method to detect and ideally predict these falls can reduce their occurrence and allow these individuals to regain a degree of independence. This paper presents the design and assessment of a wireless, wearable device that continuously samples accelerometer and gyroscope data with a goal to detect and predict falls. Lyapunov-based analyses of these time series data indicate that wearer instability can be detected and predicted in real time, implying the ability to predict impending incidents." @default.
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• W2166475680 date "2012-08-01" @default.
• W2166475680 modified "2023-09-24" @default.
• W2166475680 title "Wireless slips and falls prediction system" @default.
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• W2166475680 doi "https://doi.org/10.1109/embc.2012.6346854" @default.
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