Human Identification Technique Based Behavioural Standing Still on Force Plates

Pattraporn Sirisilpa, Sakkarin Sinchai, P. Wardkein, W. Sangpisit
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Abstract

This article proposes the human identification technique based behavioural standing still on force plates. Since the body sway that occurs during a quiet stand is caused by the movement of the center of mass and the center of pressure, thus the transfer of weight on the left and right feet of each person has a unique characteristic. This characteristic is then applied to identify individuals. In addition, the signals obtained from eyes open and eyes close condition are studied. The processing results are obtained by MATLAB program. The results of the proposed method show that the behavioural standing still signal in eyes open condition can be applied for human identification. However, the further study and improvement of the proposed principle is needed to acquire better in false rate of identification.
基于力板行为静止的人体识别技术
本文提出了基于测力板行为静止的人体识别技术。由于安静站立时身体的摇摆是由质心和压力中心的运动引起的,因此每个人左右脚的重量转移都有其独特的特点。然后应用这个特征来识别个体。此外,还研究了睁眼和闭眼状态下获得的信号。通过MATLAB编程得到了处理结果。实验结果表明,睁眼状态下的行为静止信号可以用于人体识别。但是,为了获得更好的识别错误率,还需要进一步的研究和改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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