作者: Aditya Tammana , Cody McKay , Stephen M. Cain , Steven P. Davidson , Rachel V. Vitali
DOI: 10.1016/J.APERGO.2018.01.014
关键词: Acceleration 、 Angular velocity 、 Lift (data mining) 、 Computer science 、 Inertial measurement unit 、 Power (physics) 、 Simulation 、 Smoothness 、 Inertial frame of reference 、 Jerk
摘要: Abstract Manual lifting of loads arises in many occupations as well activities daily living. Prior studies explore biomechanics and conditions implicated lifting-induced injuries through laboratory-based experimental methods. This study introduces a new measurement method using load-embedded inertial units (IMUs) to evaluate tasks varied environments outside the laboratory. An example vertical load task is considered that included an outdoor obstacle course. The IMU data, form acceleration angular velocity, used estimate velocity three performance metrics: time (speed), power, motion smoothness. Large qualitative differences these parameters distinguish exemplar high low trials. These are further supported by subsequent statistical analyses twenty trials (including total 115 lift/lower cycles) from fourteen healthy participants. Results reveal strongly correlated with power (as expected) but also Thus, participants who lift rapidly do so significantly greater motions minimize jerk.