Industrial Ergonomics Risk Analysis Based on 3D-Human Pose Estimation
Ergonomics is important for smooth and sustainable industrial operation. In the manufacturing industry, due to poor workstation design, workers frequently and repeatedly experience uncomfortable postures and actions (reaching above their shoulders, bending at awkward angles, bending backwards, flexi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/20/3403 |
| _version_ | 1797473586897747968 |
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| author | Prabesh Paudel Young-Jin Kwon Do-Hyun Kim Kyoung-Ho Choi |
| author_facet | Prabesh Paudel Young-Jin Kwon Do-Hyun Kim Kyoung-Ho Choi |
| author_sort | Prabesh Paudel |
| collection | DOAJ |
| description | Ergonomics is important for smooth and sustainable industrial operation. In the manufacturing industry, due to poor workstation design, workers frequently and repeatedly experience uncomfortable postures and actions (reaching above their shoulders, bending at awkward angles, bending backwards, flexing their elbows/wrists, etc.). Incorrect working postures often lead to specialized injuries, which reduce productivity and increase development costs. Therefore, examining workers’ ergonomic postures becomes the basis for recognizing, correcting, and preventing bad postures in the workplace. This paper proposes a new framework to carry out risk analysis of workers’ ergonomic postures through 3D human pose estimation from video/image sequences of their actions. The top-down network calculates human body joints when bending, and those angles are compared with the ground truth body bending data collected manually by expert observation. Here, we introduce the body angle reliability decision (BARD) method to calculate the most reliable body-bending angles to ensure safe working angles for workers that conform to ergonomic requirements in the manufacturing industry. We found a significant result with high accuracy in the score for ergonomics we used for this experiment. For good postures with high reliability, we have OWAS score 94%, REBA score 93%, and RULA score 93% accuracy. Similarly, for occluded postures we have OWAS score 83%, REBA score 82%, and RULA score 82%, compared with expert’s occluded scores. For future study, our research can be a reference for ergonomics score analysis with 3D pose estimation of workers’ postures. |
| first_indexed | 2024-03-09T20:18:33Z |
| format | Article |
| id | doaj.art-8e45c1f505fd4a79bd5afee7eb5664af |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T20:18:33Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-8e45c1f505fd4a79bd5afee7eb5664af2023-11-23T23:54:34ZengMDPI AGElectronics2079-92922022-10-011120340310.3390/electronics11203403Industrial Ergonomics Risk Analysis Based on 3D-Human Pose EstimationPrabesh Paudel0Young-Jin Kwon1Do-Hyun Kim2Kyoung-Ho Choi3Department of Electronics Engineering, Mokpo National University, Jeonnam 58854, KoreaIntelligent Robotics Research Division, Electronics and Telecommunications Research Institute, Daejeon 34129, KoreaIntelligent Robotics Research Division, Electronics and Telecommunications Research Institute, Daejeon 34129, KoreaDepartment of Electronics Engineering, Mokpo National University, Jeonnam 58854, KoreaErgonomics is important for smooth and sustainable industrial operation. In the manufacturing industry, due to poor workstation design, workers frequently and repeatedly experience uncomfortable postures and actions (reaching above their shoulders, bending at awkward angles, bending backwards, flexing their elbows/wrists, etc.). Incorrect working postures often lead to specialized injuries, which reduce productivity and increase development costs. Therefore, examining workers’ ergonomic postures becomes the basis for recognizing, correcting, and preventing bad postures in the workplace. This paper proposes a new framework to carry out risk analysis of workers’ ergonomic postures through 3D human pose estimation from video/image sequences of their actions. The top-down network calculates human body joints when bending, and those angles are compared with the ground truth body bending data collected manually by expert observation. Here, we introduce the body angle reliability decision (BARD) method to calculate the most reliable body-bending angles to ensure safe working angles for workers that conform to ergonomic requirements in the manufacturing industry. We found a significant result with high accuracy in the score for ergonomics we used for this experiment. For good postures with high reliability, we have OWAS score 94%, REBA score 93%, and RULA score 93% accuracy. Similarly, for occluded postures we have OWAS score 83%, REBA score 82%, and RULA score 82%, compared with expert’s occluded scores. For future study, our research can be a reference for ergonomics score analysis with 3D pose estimation of workers’ postures.https://www.mdpi.com/2079-9292/11/20/3403joint anglesOvako working posture assessment system (OWAS)rapid upper limb assessment (RULA)rapid entire body assessment (REBA)pose estimation |
| spellingShingle | Prabesh Paudel Young-Jin Kwon Do-Hyun Kim Kyoung-Ho Choi Industrial Ergonomics Risk Analysis Based on 3D-Human Pose Estimation Electronics joint angles Ovako working posture assessment system (OWAS) rapid upper limb assessment (RULA) rapid entire body assessment (REBA) pose estimation |
| title | Industrial Ergonomics Risk Analysis Based on 3D-Human Pose Estimation |
| title_full | Industrial Ergonomics Risk Analysis Based on 3D-Human Pose Estimation |
| title_fullStr | Industrial Ergonomics Risk Analysis Based on 3D-Human Pose Estimation |
| title_full_unstemmed | Industrial Ergonomics Risk Analysis Based on 3D-Human Pose Estimation |
| title_short | Industrial Ergonomics Risk Analysis Based on 3D-Human Pose Estimation |
| title_sort | industrial ergonomics risk analysis based on 3d human pose estimation |
| topic | joint angles Ovako working posture assessment system (OWAS) rapid upper limb assessment (RULA) rapid entire body assessment (REBA) pose estimation |
| url | https://www.mdpi.com/2079-9292/11/20/3403 |
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