Abstract
The objective is to develop a system to automatically select the corresponding assessment scales and calculate the score of the risk based on the joint angle information obtained from the imaged process (OpenPose) via image-based motion capture technology. Current occupational assessments, for example, REBA, RULA, and OWAS were used to evaluate the risk of musculoskeletal disorders. However, the assessment result would not be reported immediately. Introducing real-time occupational assessments in different working environments will be helpful for occupational injury prevention. In this study, the decision tree was developed to select the most appropriate assessment method according to the joint angles derived by OpenPose image process. Fifteen operation videos were tested and these videos can be classified into six types including maintenance, handling, assembly, cleaning, office work, and driving. The selected ergonomic assessment method by our developed decision tree in each condition are consistent with the recommendation of the Labour Research Institute. Moreover, the high-risk posture could be identified immediately and provide to the inspector for further evaluation on this posture rather than the whole operation period. This approach provides a quick inspection of the operation movements to prevent musculoskeletal injuries and enhances the application of the scale assessment method in different industrial environments.
Highlights
The objective is to develop a system to automatically select the corresponding assessment scales and calculate the score of the risk based on the joint angle information obtained from the imaged process (OpenPose) via image-based motion capture technology
The assessment method would be selected according to the characteristic of the operational movement[10] and the risk of the posture would be underestimated if the inappropriate assessment method is selected
It is important to choose the proper assessment, one of our objectives is to propose a strategy for selecting the appropriate assessment method
Summary
The objective is to develop a system to automatically select the corresponding assessment scales and calculate the score of the risk based on the joint angle information obtained from the imaged process (OpenPose) via image-based motion capture technology. The high-risk posture could be identified immediately and provide to the inspector for further evaluation on this posture rather than the whole operation period This approach provides a quick inspection of the operation movements to prevent musculoskeletal injuries and enhances the application of the scale assessment method in different industrial environments. It is important to choose the proper assessment, one of our objectives is to propose a strategy for selecting the appropriate assessment method These ergonomic assessment methods are performed manually by the expert based on the identification of postures, actions, or joint a ngles[15] which would cause subjective b ias[16], and the high-risk posture during an operational period would be ignored. The automation of picking high-risk frames out for further investigation would be a valuable and practical methodology
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