Activity detection using frequency analysis and off-the-shelf devices: Fall detection from accelerometer data

Sebastian D. Bersch, Christian Chislett, Djamel Azzi, Rinat Khusainov, Jim Briggs · 2011

Increasingly, applications of technology are being developed to provide care to elderly and vulnerable people living alone. This paper looks at using sensors to monitor a person’s wellbeing. The paper attempts to recognise and distinguish falling, sitting and walking activities from acceleromete

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