Segmentation Study of Aged Gait Based on FFT
Zhu Li, Yuchuan Wu, Shuangbao Ma, Shengfeng Qi · 2016
To study the rules and characteristics of the daily actions of the aged, a set of multi-sensor wearable device has been developed.As for the segmenting method of action data collected from the aged wearing this device, the human action sequence segmentation method has been proposed based on the motion characteristics in this paper.That is to say, collecting the data for Fourier transform, determining the equilibrium position of the motion, and then returning back to the time domain and determining the segmentation point by judging the changing trend of signal waveform, so as to realize the segmentation of the entire signal.Experiments show that this method can effectively segment the daily actions of the aged, extract valid action sequence, and is particularly effective in the segmentation of regular actions.