A wearable method for autonomous fall detection based on Kalman filter and k-NN algorithm

Abstract

The activity model based on tri-axial acceleration and gyroscope is proposed in this paper, and the difference between activities of daily living of (ADLs) and falls is analyzed at first. Meanwhile, Kalman filter is proposed to reduce noise. kNN algorithm and slide window are introduced to develop a wearable system for fall detection and alert, which is… (More)

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