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근전도 분석을 통한 시내버스 운전자 피로도 분석

The Fatigue Analysis of Urban Bus Driver with Electromyography (EMG) Analysis

  • 김재준 (전북대학교 헬스케어공학과) ;
  • 김경 (국립재활원) ;
  • 유창호 (전북대학교 바이오메디컬공학부) ;
  • 오승용 (전북대학교 바이오메디컬공학부) ;
  • 이찬기 (전북대학교 산업정보시스템공학과) ;
  • 김동원 (전북대학교 산업정보시스템공학과) ;
  • 황봉하 (현대자동차) ;
  • 문영주 (현대자동차) ;
  • 정구영 (전북대학교 헬스케어기술개발사업단) ;
  • 권대규 (전북대학교 바이오메디컬공학부)
  • Kim, Jae-Jun (Department of Healthcare Engineering, Chonbuk National Univ.) ;
  • Kim, Kyung (National Rehabilitation Center) ;
  • Yu, Chang-Ho (Division of Biomedical Engineering, Chonbuk National Univ.) ;
  • Oh, Seung-Yong (Division of Biomedical Engineering, Chonbuk National Univ.) ;
  • Lee, Chan-Ki (Department of Industrial and Information Systems Engineering, Chonbuk National Univ.) ;
  • Kim, Dong-Won (Department of Industrial and Information Systems Engineering, Chonbuk National Univ.) ;
  • Hwang, Bong-Ha (Hyundai Motor Company) ;
  • Moon, Young-Ju (Hyundai Motor Company) ;
  • Jeong, Gu-Young (Center for Healthcare Technology Development, Chonbuk National Univ.) ;
  • Kwon, Tae-Kyu (Division of Biomedical Engineering, Chonbuk National Univ.)
  • 투고 : 2011.09.14
  • 심사 : 2012.06.29
  • 발행 : 2012.10.01

초록

In this study, we proposed the most efficient driving posture based on the analysis of quantitative muscular strength and fatigue degree according to posture. Since driving include complicated actions required by a variety of ability and cause by extremes concentration or strain, drivers tend to feel tired easily. However, drivers can't recognize the fatigue degree by themselves. Moreover, the method for measuring the quantitative fatigue degree exactly is quite difficult to be secured. 9 professional bus drivers were participated. We analyzed the quantitative legs' muscular strength when operating each pedal. And then we also analyzed the muscular strength and muscular fatigue degree according to driving pattern during bus driving. Therefore, we suggested the most efficient driving posture.

키워드

참고문헌

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피인용 문헌

  1. Designing a Snow-removing Tool Through Ergonomic Approach vol.35, pp.5, 2016, https://doi.org/10.5143/JESK.2016.35.5.439