An Online Multi-Index Approach to Human Ergonomics Assessment in the Workplace
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lorenzini, Marta | - |
dc.contributor.author | Kim, Wansoo | - |
dc.contributor.author | Ajoudani, Arash | - |
dc.date.accessioned | 2022-06-21T02:40:43Z | - |
dc.date.available | 2022-06-21T02:40:43Z | - |
dc.date.created | 2022-06-02 | - |
dc.date.issued | 2022-10 | - |
dc.identifier.issn | 2168-2291 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/107546 | - |
dc.description.abstract | Work-related musculoskeletal disorders (WMSDs) remain one of the major occupational safety and health problems in the European Union nowadays. Thus, continuous tracking of workers' exposure to the factors that may contribute to their development is paramount. This paper introduces an online approach to monitor kinematic and dynamic quantities on the workers, providing on the spot an estimate of the physical load required in their daily jobs. A set of ergonomic indexes is defined to account for multiple potential contributors to WMSDs, also giving importance to the subject-specific requirements of the workers. To evaluate the proposed framework, a thorough experimental analysis was conducted on twelve human subjects considering tasks that represent typical working activities in the manufacturing sector. For each task, the ergonomic indexes that better explain the underlying physical load were identified, following a statistical analysis, and supported by the outcome of a surface electromyography (sEMG) analysis. A comparison was also made with a well-recognised and standard tool to evaluate human ergonomics in the workplace, to highlight the benefits introduced by the proposed framework. Results demonstrate the high potential of the proposed framework in identifying the physical risk factors, and therefore to adopt preventive measures. Another equally important contribution of this study is the creation of a comprehensive database on human kinodynamic measurements, which hosts multiple sensory data of healthy subjects performing typical industrial tasks. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE Systems, Man, and Cybernetics Society | - |
dc.title | An Online Multi-Index Approach to Human Ergonomics Assessment in the Workplace | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Wansoo | - |
dc.identifier.doi | 10.1109/thms.2021.3133807 | - |
dc.identifier.scopusid | 2-s2.0-85122887400 | - |
dc.identifier.wosid | 000854594100006 | - |
dc.identifier.bibliographicCitation | IEEE Transactions on Human-Machine Systems, v.52, no.5, pp.1 - 12 | - |
dc.relation.isPartOf | IEEE Transactions on Human-Machine Systems | - |
dc.citation.title | IEEE Transactions on Human-Machine Systems | - |
dc.citation.volume | 52 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 12 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | other | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Cybernetics | - |
dc.subject.keywordPlus | Computer Science - Robotics | - |
dc.subject.keywordPlus | Computer Science - Human-Computer Interaction | - |
dc.subject.keywordPlus | Robotics (cs.RO) | - |
dc.subject.keywordPlus | Human-Computer Interaction (cs.HC) | - |
dc.subject.keywordAuthor | ergonomic assessment | - |
dc.subject.keywordAuthor | kinematics and dynamics monitoring | - |
dc.subject.keywordAuthor | human modeling. | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/9674843 | - |
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