SISTEMA PREDICTIVO DE LESIÓN MUSCULOESQUELÉTICA (LEMUS), COMO MÉTODO DE EVALUACIÓN ERGONÓMICA

Abstract

Ergonomics and in general the study of human factors is undoubtedly important in any design. In the occupational world, it is often necessary to assess the risk of ergonomic workers, in order to avoid injury Musculoskeletal. This has been the aim of the system presented here. LEMUS is based in a musculoskeletal model of whole body, implemented with the software AnyBodyTM and includes those muscles most important in each region articulate. The system can transfer to a biomechanical model: the worker anthropometry, the movement carried out during their activity and the forces that the worker develops. Then the system obtains the muscle activity in the different muscle groups. So we know when the worker can have a musculoskeletal injury and on what body part or joint. We have used a system MoCap (motion capture) which can be used in the workplace. This is called Move-Human Sensors. This system captures the movement based on inertial motion sensor. It has also been developed by the Zaragoza University in this project. LEMUS is designed to be used by technicians involved in the evaluation and reduction of ergonomic hazards in different fields; occupational environment, sports or in the design of new products. Keywords: Ergonomic, human factor, musculoskeletal disorders, motion capture, occupational risk, product design, computer aid ergonomics, software.