An Evaluation Method for the Musculoskeletal Hazards in Wood Manufacturing Workers Using MediaPipe

MediaPipe를 이용한 목재 제조업 작업자의 근골격계 유해요인 평가 방법

  • Jung, Sungoh (Dept. of Electronics and Information System Engineering, Sangmyung University) ;
  • Kook, Joongjin (Dept. of Electronics and Information System Engineering, Sangmyung University)
  • 정성오 (상명대학교 전자정보시스템공학과) ;
  • 국중진 (상명대학교 전자정보시스템공학과)
  • Received : 2022.06.08
  • Accepted : 2022.06.23
  • Published : 2022.06.30

Abstract

This paper proposes a method for evaluating the work of manufacturing workers using MediaPipe as a risk factor for musculoskeletal diseases. Recently, musculoskeletal disorders (MSDs) caused by repeated working attitudes in industrial sites have emerged as one of the biggest problems in the industrial health field while increasing public interest. The Korea Occupational Safety and Health Agency presents tools such as NIOSH Lifting Equations (NIOSH), OWAS (Ovako Working-posture Analysis System), Rapid Upper Limb Assessment (RULA), and Rapid Entertainment Assessment (REBA) as ways to quantitatively calculate the risk of musculoskeletal diseases that can occur due to workers' repeated working attitudes. To compensate for these shortcomings, the system proposed in this study obtains the position of the joint by estimating the posture of the worker using the posture estimation learning model of MediaPipe. The position of the joint is calculated using inverse kinetics to obtain an angle and substitute it into the REBA equation to calculate the load level of the working posture. The calculated result was compared to the expert's image-based REBA evaluation result, and if there was a result with a large error, feedback was conducted with the expert again.

Keywords

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