基于步态加速度特征的人体疲劳检测

Human Fatigue Detection Based on Gait Acceleration Feature

传统基于生理学的人体疲劳检测方法存在周期较长、准确度较低的问题。为此,提出一种基于步态加速度特征的人体疲劳状态检测方法。通过微机电传感器加速度计采集被检测人的步态加速度数据,给出基于相关系数法的步态疲劳状态阈值判断方法。实验结果表明,9个样本的检测准确率为93.06%,准确率较高,时间复杂度较低。

Traditional physiology human fatigue detection methods have the problems that the time is long and accuracy is low.Aiming at this problem,this paper proposes a novel method for human fatigue identification based on gait acceleration.Collecting gait acceleration data by using a Micro Electro Mechanical Sensor（MEMS） triaxial accelerometer,based on correlation coefficients,the method proposed in this paper can be used to identify human fatigue.Experimental results show that the accuracy of identification is 93.06% with 9 test subjects,and this method has the advantages of calculating time and accuracy.