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Musculoskeletal computational analysis on muscle mechanical characteristics of drivers’ lumbar vertebras and legs in different sitting postures

Fei Gao Shi Zong Zhi-Wu Han Yang Xiao Zhen-Hai Gao About the authors


Using computer-aided engineering (CAE) in the concept design stage of automobiles has become a hotspot in human factor engineering research. Based on human musculoskeletal biomechanical computational software, a seated human-body musculoskeletal model was built to describe the natural sitting posture of a driver. The interaction between the driver and car in various combinations of seat-pan/back-rest inclination angles was analyzed using an inverse-dynamics approach. In order to find out the “most comfortable” driving posture of the seat-pan/back-rest, the effect of seat-pan/back-rest inclination angles on the muscle activity degree, and the intradiscal L4-L5 compression force were investigated. The results showed that a much larger back-rest inclination angle, approximately 15°, and a slight backward seat-pan, about 7°, may relieve muscle fatigue and provide more comfort while driving. Subsequently, according to the findings above, a preliminary driving-comfort function was constructed.

Automobile driving; Automobiles; Biomechanical Phenomena; Lumbar vertebrae; Leg; Models, biological; Models, theoretical; Musculoskeletal system

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