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A low-cost but high-accuracy mechanism for detecting falls is critical for many health and safety applications, including caring for the elderly. Existing approaches are unduly expensive and sensitive to user physique and biometrics. Additionally, most approaches were developed using limited, simulated fall data and often perform poorly in field tests. To resolve these issues, in this paper we propose...
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