Computation of safety design indexes of industry vehicle operators based on the reach angle, the distance from elbow to ground and the popliteal height
| Autor: | Ankit Goyal, Xiao-Dong Niu, Dezhi Chen, Shilpi Bora, Debkumar Chakrabarti, Yogesh J. Bhalerao, Nengsheng Bao, Akhil Garg |
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| Rok vydání: | 2019 |
| Předmět: |
030506 rehabilitation
Popliteal height Artificial neural network Safety design business.industry Computer science Computation 05 social sciences Elbow Public Health Environmental and Occupational Health Human Factors and Ergonomics Context (language use) 03 medical and health sciences Software medicine.anatomical_structure medicine 0501 psychology and cognitive sciences Model development 0305 other medical science business 050107 human factors Simulation |
| Zdroj: | International Journal of Industrial Ergonomics. 71:155-164 |
| ISSN: | 0169-8141 |
| DOI: | 10.1016/j.ergon.2019.03.005 |
| Popis: | For safety design of industrial vehicles, it is important to understand the optimum posture parameters such as the elbow-ground distance, the popliteal height and the reach angle. RULA and REBA, which are most commonly adopted to evaluate the risk associated with posture exhibit higher dependence on the mentioned parameters. The relative significance of these parameters is not known for drivers in industrial vehicle. The main objective of this study is to develop a model using an automated neural network search (ANS) approach for the prediction of RULA and REBA based on the coupled interactions of posture parameters. In the context of model development, field study that contains measurement of these posture parameters was utilized. RULA and REBA were assessed from these posture parameters using CATIA software. Further, the study also reveals the relative significance of these posture parameters and identifies the most optimum parameters for minimum risk to driver's health. |
| Databáze: | OpenAIRE |
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