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通过使用实时振动触觉反馈的智能工作服系统来减少拣货过程中的姿势负荷。

Reducing postural load in order picking through a smart workwear system using real-time vibrotactile feedback.

机构信息

Unit of Occupational Medicine, Karolinska Institutet, Solnavägen 4, SE-113 65, Stockholm, Sweden; Division of Ergonomics, KTH Royal Institute of Technology, Hälsovägen 11C, SE-141 57, Huddinge, Sweden.

Unit of Occupational Medicine, Karolinska Institutet, Solnavägen 4, SE-113 65, Stockholm, Sweden; Division of Ergonomics, KTH Royal Institute of Technology, Hälsovägen 11C, SE-141 57, Huddinge, Sweden.

出版信息

Appl Ergon. 2020 Nov;89:103188. doi: 10.1016/j.apergo.2020.103188. Epub 2020 Jul 16.

DOI:10.1016/j.apergo.2020.103188
PMID:32854822
Abstract

Vibrotactile feedback training may be one possible method for interventions that target at learning better work techniques and improving postures in manual handling. This study aimed to evaluate the short term effect of real-time vibrotactile feedback on postural exposure using a smart workwear system for work postures intervention in simulated industrial order picking. Fifteen workers at an industrial manufacturing plant performed order-picking tasks, in which the vibrotactile feedback was used for postural training at work. The system recorded the trunk and upper arm postures. Questionnaires and semi-structured interviews were conducted about the users' experience of the system. The results showed reduced time in trunk inclination ≥20°, ≥30° and ≥45° and dominant upper arm elevation ≥30° and ≥45° when the workers received feedback, and for trunk inclination ≥20°, ≥30° and ≥45° and dominant upper arm elevation ≥30°, after feedback withdrawal. The workers perceived the system as useable, comfortable, and supportive for learning. The system has the potential of contributing to improved postures in order picking through an automated short-term training program.

摘要

振动触觉反馈训练可能是一种干预方法,可以针对学习更好的工作技术和改善手动搬运中的姿势。本研究旨在评估使用智能工作服系统进行工作姿势干预在模拟工业订单拣选中实时振动触觉反馈对姿势暴露的短期效果。在一家工业制造工厂,15 名工人执行订单拣选任务,在该任务中,振动触觉反馈用于工作中的姿势培训。系统记录了躯干和上臂的姿势。关于用户对系统的体验,进行了问卷调查和半结构化访谈。结果表明,当工人接受反馈时,躯干倾斜度≥20°、≥30°和≥45°以及主导上臂抬高度≥30°和≥45°的时间减少,并且在反馈退出后,躯干倾斜度≥20°、≥30°和≥45°以及主导上臂抬高度≥30°。工人们认为该系统易于使用、舒适且有助于学习。该系统通过自动化的短期培训计划有可能有助于改善订单拣选中的姿势。

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