The optimum weight of controllers for arm muscle activity in playing physical video games

碩士 === 國立臺灣大學 === 機械工程學研究所 === 96 === Frequently using underweight or overweight video game controllers may lead to musculoskeletal discomfort and symptoms in forearms, upper arms and shoulders. Differently weighted controller being played at the same frequency may have varied effects on forearm, up...

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Main Authors: Zhi-Kai Fan, 范智凱
Other Authors: 陳漢明
Format: Others
Language:en_US
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/42777998708531667008
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spelling ndltd-TW-096NTU054891502015-11-25T04:04:37Z http://ndltd.ncl.edu.tw/handle/42777998708531667008 The optimum weight of controllers for arm muscle activity in playing physical video games 在玩物理性電玩下,控制器之最佳重量對上肢肌肉活動的研究 Zhi-Kai Fan 范智凱 碩士 國立臺灣大學 機械工程學研究所 96 Frequently using underweight or overweight video game controllers may lead to musculoskeletal discomfort and symptoms in forearms, upper arms and shoulders. Differently weighted controller being played at the same frequency may have varied effects on forearm, upper arm, and shoulder muscle activity. Each of the twenty-five subjects repetitively performed the task of simulating playing tennis with each of the five different weight controller at the same frequency on video game. The extensor carpi ulnaris, extensor digitorum, flexor carpi ulnaris, anterior deltoid, middle deltoid, posterior deltoid and upper trapezius muscle activity were recorded by surface electromyography and the right shoulder postures were registered by an electrogoniometer, and then the recorded data were analyzed by the one-way ANOVA. The lowest ECU, ED, FCU, AD, MD, PD, and Trap muscle activity all occurred in using the controller 140G. To play at a preset waving frequency, selecting and using a corresponding optimally weighted controller could provide users more neutral arm postures to reduce the forearm, upper arm and shoulder muscle activity and the risk of musculoskeletal disorders. 陳漢明 2008 學位論文 ; thesis 59 en_US
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description 碩士 === 國立臺灣大學 === 機械工程學研究所 === 96 === Frequently using underweight or overweight video game controllers may lead to musculoskeletal discomfort and symptoms in forearms, upper arms and shoulders. Differently weighted controller being played at the same frequency may have varied effects on forearm, upper arm, and shoulder muscle activity. Each of the twenty-five subjects repetitively performed the task of simulating playing tennis with each of the five different weight controller at the same frequency on video game. The extensor carpi ulnaris, extensor digitorum, flexor carpi ulnaris, anterior deltoid, middle deltoid, posterior deltoid and upper trapezius muscle activity were recorded by surface electromyography and the right shoulder postures were registered by an electrogoniometer, and then the recorded data were analyzed by the one-way ANOVA. The lowest ECU, ED, FCU, AD, MD, PD, and Trap muscle activity all occurred in using the controller 140G. To play at a preset waving frequency, selecting and using a corresponding optimally weighted controller could provide users more neutral arm postures to reduce the forearm, upper arm and shoulder muscle activity and the risk of musculoskeletal disorders.
author2 陳漢明
author_facet 陳漢明
Zhi-Kai Fan
范智凱
author Zhi-Kai Fan
范智凱
spellingShingle Zhi-Kai Fan
范智凱
The optimum weight of controllers for arm muscle activity in playing physical video games
author_sort Zhi-Kai Fan
title The optimum weight of controllers for arm muscle activity in playing physical video games
title_short The optimum weight of controllers for arm muscle activity in playing physical video games
title_full The optimum weight of controllers for arm muscle activity in playing physical video games
title_fullStr The optimum weight of controllers for arm muscle activity in playing physical video games
title_full_unstemmed The optimum weight of controllers for arm muscle activity in playing physical video games
title_sort optimum weight of controllers for arm muscle activity in playing physical video games
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/42777998708531667008
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