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CCTV 촬영각이 영상 기반 자동 OWAS 평가 정확도에 미치는 영향
- 조한결;
- 유현종;
- 김경민;
- 황원국;
- 김영우
초록
Objective: This study examined the effects of CCTV horizontal and vertical viewing angles and identified camera configurations that provide relatively stable performance in video-based automated OWAS assessment by comparison with motion capture data. Background: Video-based human pose estimation has emerged as a promising alternative to conventional observational methods for musculoskeletal risk assessment. However, the influence of CCTV viewing angles on posture recognition accuracy has not been sufficiently validated. Method: A laboratory experiment was conducted simulating a PE pipe manufacturing task. Video data were collected under five horizontal viewing angles (0~180°) and two vertical angles (30°, 60°). Video-based postures were estimated using MediaPipe, and motion capture data were used as ground truth. Performance was evaluated using joint angle errors and OWAS classification accuracy. A two-way repeatedmeasures ANOVA was applied to examine the effects of viewing angles. Results: Viewing angle had significant effects on OWAS accuracy and joint-level estimation errors. Overall, the lower vertical angle (30°) yielded more stable performance than the higher vertical angle (60°). The highest OWAS code accuracy and the lowest OWAS action category RMSE were observed at the rear low-angle condition (180~30°), whereas side-oriented and high-angle conditions generally increased errors. Conclusion: Among the tested conditions, low-angle front and rear views provided relatively stable performance for video-based automated OWAS assessment. The maximum exact OWAS code accuracy was 59.2%, supporting the use of single-view CCTV outputs for screening and comparative monitoring in conjunction with expert or sensor-based evaluation. Application: The findings provide camera-placement guidance for automated posture monitoring; low-angle front or rear views are preferred whereas elevated or sideoriented installations can be supplemented with additional cameras or calibration procedures.
키워드
- 제목
- CCTV 촬영각이 영상 기반 자동 OWAS 평가 정확도에 미치는 영향
- 제목 (타언어)
- Effects of CCTV Viewing Angles on the Accuracy of Video-based Automated OWAS Assessment
- 저자
- 조한결; 유현종; 김경민; 황원국; 김영우
- 발행일
- 2026-08
- 유형
- Y
- 저널명
- 대한인간공학회지
- 권
- 45
- 호
- 4
- 페이지
- 297 ~ 311
- 언어
- KOR
- 출판사
- 대한인간공학회
- 발행국가
- 대한민국
- 분량
- 15 페이지
- ISSN
- E 2093-8462
P 1229-1684