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Discomfort Evaluation of Truck Ingress/Egress Motions Based on Biomechanical Analysis.

Choi NC, Lee SH - Sensors (Basel) (2015)

Bottom Line: This paper presents a quantitative discomfort evaluation method based on biomechanical analysis results for human body movement, as well as its application to an assessment of the discomfort for truck ingress and egress.Next, the maximum voluntary contraction (MVC) ratios of the muscles were calculated through a biomechanical analysis of the musculoskeletal human model for the captured motion.The validation results showed that the correlation between the objective and subjective discomforts was significant and could be described by a linear regression model.

View Article: PubMed Central - PubMed

Affiliation: Intelligent HMI/CAD Lab, Graduate School of Automotive Engineering, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 136-702, Korea. naamus@dayou.co.kr.

ABSTRACT
This paper presents a quantitative discomfort evaluation method based on biomechanical analysis results for human body movement, as well as its application to an assessment of the discomfort for truck ingress and egress. In this study, the motions of a human subject entering and exiting truck cabins with different types, numbers, and heights of footsteps were first measured using an optical motion capture system and load sensors. Next, the maximum voluntary contraction (MVC) ratios of the muscles were calculated through a biomechanical analysis of the musculoskeletal human model for the captured motion. Finally, the objective discomfort was evaluated using the proposed discomfort model based on the MVC ratios. To validate this new discomfort assessment method, human subject experiments were performed to investigate the subjective discomfort levels through a questionnaire for comparison with the objective discomfort levels. The validation results showed that the correlation between the objective and subjective discomforts was significant and could be described by a linear regression model.

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Human body model in LifeMOD: (a) musculoskeletal model and (b) muscle properties.
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sensors-15-13568-f009: Human body model in LifeMOD: (a) musculoskeletal model and (b) muscle properties.

Mentions: The human body model of LifeMOD used in this study consists of 19 segments, 18 joints, and 112 muscles. As shown in Figure 9, the model was configured to match the body dimensions of the participant, and the default LifeMOD values were applied for the material properties of the joints and muscles. The maximum stress on a muscle was 1.786 N/mm2, and the maximum contraction force for each muscle was obtained by multiplying the cross-sectional area (ρCSA) of that muscle by the maximum stress.


Discomfort Evaluation of Truck Ingress/Egress Motions Based on Biomechanical Analysis.

Choi NC, Lee SH - Sensors (Basel) (2015)

Human body model in LifeMOD: (a) musculoskeletal model and (b) muscle properties.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507608&req=5

sensors-15-13568-f009: Human body model in LifeMOD: (a) musculoskeletal model and (b) muscle properties.
Mentions: The human body model of LifeMOD used in this study consists of 19 segments, 18 joints, and 112 muscles. As shown in Figure 9, the model was configured to match the body dimensions of the participant, and the default LifeMOD values were applied for the material properties of the joints and muscles. The maximum stress on a muscle was 1.786 N/mm2, and the maximum contraction force for each muscle was obtained by multiplying the cross-sectional area (ρCSA) of that muscle by the maximum stress.

Bottom Line: This paper presents a quantitative discomfort evaluation method based on biomechanical analysis results for human body movement, as well as its application to an assessment of the discomfort for truck ingress and egress.Next, the maximum voluntary contraction (MVC) ratios of the muscles were calculated through a biomechanical analysis of the musculoskeletal human model for the captured motion.The validation results showed that the correlation between the objective and subjective discomforts was significant and could be described by a linear regression model.

View Article: PubMed Central - PubMed

Affiliation: Intelligent HMI/CAD Lab, Graduate School of Automotive Engineering, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 136-702, Korea. naamus@dayou.co.kr.

ABSTRACT
This paper presents a quantitative discomfort evaluation method based on biomechanical analysis results for human body movement, as well as its application to an assessment of the discomfort for truck ingress and egress. In this study, the motions of a human subject entering and exiting truck cabins with different types, numbers, and heights of footsteps were first measured using an optical motion capture system and load sensors. Next, the maximum voluntary contraction (MVC) ratios of the muscles were calculated through a biomechanical analysis of the musculoskeletal human model for the captured motion. Finally, the objective discomfort was evaluated using the proposed discomfort model based on the MVC ratios. To validate this new discomfort assessment method, human subject experiments were performed to investigate the subjective discomfort levels through a questionnaire for comparison with the objective discomfort levels. The validation results showed that the correlation between the objective and subjective discomforts was significant and could be described by a linear regression model.

Show MeSH
Related in: MedlinePlus