대한건축학회논문집 (Journal of the Architectural Institute of Korea)

  • 제40권3호
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  • Pages.265-272
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  • 2024
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  • 2733-6239(pISSN)
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  • 2733-6247(eISSN)
대한건축학회 (Architectural Institute of Korea)
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REBA 평가 도구 기반 작업자의 자세 분석 자동화 제안

Automated Posture Analysis Proposal Based on REBA Evaluation Tool

  • 최재혁 (영남대 건축학과 건축공학전공) ;
  • 조선영 (영남대 건축학과 건축공학전공) ;
  • 김상용 (영남대 건축학부)
  • 투고 : 2023.03.13
  • 심사 : 2024.01.15
  • 발행 : 2024.03.30
⟨ 이전 논문 다음 논문 ⟩

초록

In the construction industry, there is a gradual increase in the application of computer vision for field management and safety analysis of workers. Computer vision is employed for tasks like monitoring the use of safety helmets, verifying the fastening of safety rings, and automatically recognizing the behavior of heavy equipment. However, research specifically addressing the postures leading to musculoskeletal disorders is relatively limited. The construction site, being labor-intensive and involving various professionals and equipment in each process, requires continuous management and monitoring to minimize musculoskeletal diseases among workers and ensure their safety. Managing such a large construction site with diverse tasks for each process poses challenges for effective oversight. In this study, risk postures were defined based on REBA, and key joint points were identified using Posenet. Using this data, a model was developed to classify workers' postures using Teachable Machine, demonstrating high accuracy in recognizing different risk postures

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과제정보

이 연구는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No.2020R1A2C1005263).

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