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A Human Postures Inertial Tracking System for Ergonomic Assessments

机译:人体工程学评估的人类姿势惯性跟踪系统

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Since the early development for health purposes in 1950s, motion tracking systems have been strongly developed for several applications. Nowadays, using Micro Electro-Mechanics Systems (MEMS) technologies, these systems have become compact and light, being popular for several applications. Looking at the manufacturing industry, such as the automotive one, ergonomic postural analyses are a key step in the workplaces design and motion tracking systems represent fundamental tools to provide data about postures of workers while carrying out working tasks, in order to assess the critical issues according to ISO 11226 standard. The aim of this work is to present an experimental wearable inertial motion tracking system, developed at the Dept. of Engineering of the University of Campania "Luigi Vanvitelli" in collaboration with Linup S.r.l., composed by several low-cost inertial measurement units (IMU). The system allows to estimate the orientation of selected human body segments and to analyze the postures assumed during the working tasks. To increase the flexibility of use, the system is highly modular: it's composed by 4 independent modules in full-body configuration, each one made of 3 or 4 inertial units. In this paper, the overall system is presented, supported by several test cases, carried out in Fiat Chrysler Automobile (FCA) assembly lines, to test the system reliability in industrial environments. Furthermore, an automatic posture analysis code is presented to evaluate the postural critical issue of the workplaces.
机译:自20世纪50年代的健康目的早期开发以来,若干应用已经强烈开发了运动跟踪系统。如今,使用微电机系统(MEMS)技术,这些系统变得紧凑而光,是几种应用的流行。看着制造业,如汽车,符合人体工程学的姿态分析是工作场所设计和运动跟踪系统的关键步骤,代表了基本工具,以提供有关工人姿势的数据,同时进行工作任务,以评估关键问题根据ISO 11226标准。这项工作的目的是介绍一个实验可穿戴惯性运动跟踪系统,在Campania大学“Luigi Vanvitelli”工程系中与Linup SRL合作开发,由几个低成本的惯性测量单位组成(IMU) 。该系统允许估计所选择的人体段的取向并分析工作任务期间假定的姿势。为了提高使用的灵活性,系统高度模块化:它由4个独立模块组成,全身配置,每个由3个或4个惯性单元制成。本文介绍了整个系统,支持几种测试用例,在菲亚特克莱斯勒汽车(FCA)装配线中进行,以测试工业环境中的系统可靠性。此外,提出了一种自动姿势分析代码以评估工作场所的姿势批评问题。

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