Research On Human Fatigue Detection Methods Based On Six-axis IMU Sensor

Human would easily enter the state of fatigue after massive and heavy-burden labor.When the human body fall in the state of fatigue,human bodys function is often lower than normal level,which means inattention、lack of physical strength、lower reaction and decrease of work efficiency.So there would raise large risks for our life and production.In order to protect people’s safety and work efficiency,we need an appropriate method to judge whether the human body is in fatigue.Based on a comparison of various fatigue detection methods,the paper proposes a human fatigue detection method based on six-axis IMU.This paper mainly analyzes the fatigue gait information extracted from IMU,which further from the influence mechanism of fatigue,fatigue-related gait characteristics and the determination of common fatigue judgment criteria,and this work provide a certain theoretical basis for the human fatigue detection method based on six-axis IMU.Then the gait information based on IMU acquisition system is utilized to collect the human fatigue and normal gait information,with certain preprocessing of the sensor information under some methods,to remove some interference signals mixed in the gait information.After that,the algorithm extracted fq signal from VMD for further analysis,analyzed several fatigue peak features of the signal.Eventually,the accuracy and coincidence rate of these characteristic parameters was analyzed and compared,and the judgment criteria suitable for fatigue detection were screened out.Thus,we proposed a fatigue detection method based on six-axis IMU sensor.Through theoretical analysis and experimental verification,the coincidence rate between the detection method and the actual situation is more than 85%,and it can effectively detect the fatigue state of human body.To concluded,this method can effectively detect the fatigue state of human body.