IMU-Based Motion Capture Wearable System for Ergonomic Assessment in Industrial Environment 机翻标题: 暂无翻译,请尝试点击翻译按钮。

会议集名/来源
Advances in Human Factors in Wearable Technologies and Game Design :
出版年
2019
页码
215-225
会议地点
Orlando
作者单位
Department of Engineering, University of Campania Luigi Vanvitelli, via Roma 29, 81031 Aversa, CE, ItalyDepartment of Engineering, University of Campania Luigi Vanvitelli, via Roma 29, 81031 Aversa, CE, ItalyDepartment of Engineering, University of Campania Luigi Vanvitelli, via Roma 29, 81031 Aversa, CE, ItalyDepartment of Engineering, University of Campania Luigi Vanvitelli, via Roma 29, 81031 Aversa, CE, ItalyFCA Italy - EMEA Manufacturing Planning & Control - Ergonomics, Gate 16, Corso Settembrini 53, 10135 Turin, Italy
作者
Francesco Caputo;Alessandro Greco;Egidio D'Amato;Immacolata Notaro;Stefania Spada
摘要
The study of human factors is fundamental for the human-centered design of Smart Workplaces. IIoT (Industrial Internet of Things) technologies, mainly wearable devices, are becoming necessary to acquire data, whose analysis will be used to make decision in a smart way. For industrial applications, motion-tracking systems are strongly developing, being not invasive and able to acquire high amounts of data related to human motion in order to evaluate the ergonomic indexes in an objective way, as well as suggested by standards. For these reasons, a modular inertial motion capture system has been developed at the Department of Engineering of the University of Campania Luigi Vanvitelli. By using low cost Inertial Measurement Units - IMU and sensor fusion algorithms based on Extended Kalman filtering, the system is able to estimate the orientation of each body segment, the posture angles trends and the gait recognition during a working activity in industrial environment. From acquired data it is possible to develop further algorithms to online asses ergonomic indexes according to methods suggested by international standards (i.e. EAWS, OCRA, OWAS). In this paper, the overall ergonomic assessment tool is presented, with an extensive result campaign in automotive assembly lines of Fiat Chrysler Automobiles to prove the effectiveness of the system in an industrial scenario.
机翻摘要
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关键词
Motion capture;Wearable device;IMU;Industrial ergonomics;Industrial environment
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