People Identification Using Gait Via Floor Pressure Sensing and Analysis
作者： Gang Qian , Jiqing Zhang , Assegid Kidané
DOI: 10.1007/978-3-540-88793-5_7
关键词:
摘要: This paper presents an approach to people identification using gait based on floor pressure data. By a large area high resolution sensing floor, we were able obtain 3D trajectories of the center foot pressures over footstep which contain both 1D profile and 2D position COP. Based COP set features are then extracted used for together with other such as stride length cadence. The Fisher linear discriminant is classifier. Encouraging results have been obtained proposed method average recognition rate 94% false alarm 3% pair-wise data from 10 subjects.
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