A novel multifunction assessment system for upper limb force exertion

碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 104 === Musculoskeletal hazards are mainly caused by risk factors of awkward posture, forceful exertion, high repetitive movement, etc... Widely accepted ergonomics assessment tools consider the impact of these factors on workers’ health. However, workers’ exertion...

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Bibliographic Details
Main Authors: Zhong-Hua Cai, 蔡忠樺
Other Authors: Hsieh-Ching Chen
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/7kn968
Description
Summary:碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 104 === Musculoskeletal hazards are mainly caused by risk factors of awkward posture, forceful exertion, high repetitive movement, etc... Widely accepted ergonomics assessment tools consider the impact of these factors on workers’ health. However, workers’ exertion force cant be visualized, and is usually affected by factors such as body size, gender, age, glove use and many other factors. Therefore, some risk assessment tools for upper extremity musculoskeletal hazard recommend adopting workers subjective feelings (e.g. OCRA, HAL-TLV, KIM-MHO) or conducting measurement (OCRA, HAL-TLV, EAWS) to determine the force level. Using subjective evaluation, like Borgs RPE, to determine workers exertion level certainly has its convenience. However, inexperienced investigators often feel difficult to judge the reasonableness of subjective feelings. Furthermore, most commercially available force measurement devices such as grip / pinch gauges or pull / push force devices are with only single or limited functions. We do not notice any universal device with portability that can be adjusted and tailored to measure various force exertions in actual work situation. The research develops a multi-function system for assessing working force to accommodate the use of upper extremity hazard assessment tools (e.g. OCRA, HAL-TLV, KIM-MHO, EAWS). Combined with various accessories, the system can measure pushing, pulling, gripping, and pinch force data on job sites by mobile devices or a personal computer with Bluetooth. Collected data are analyzed afterward by using analysis software developed in this research.