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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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Related in: MedlinePlus

Reaction force measurement devices: (a) AMTI OR6-7 force plates on the ground; (b) force plate on a step; (c) three-axis force handle attached to the A pillar and door marked by (1) in Figure 4a, and (d) three-axis force handle attached to the B pillar marked by (2) in Figure 4a.
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sensors-15-13568-f006: Reaction force measurement devices: (a) AMTI OR6-7 force plates on the ground; (b) force plate on a step; (c) three-axis force handle attached to the A pillar and door marked by (1) in Figure 4a, and (d) three-axis force handle attached to the B pillar marked by (2) in Figure 4a.

Mentions: In order to validate the boundary conditions for biomechanical analysis, eight force measurement devices were prepared. The sampling frequency of all measurement devices was 1 kHz. Two AMTI OR6-7 force plates [20] were placed on the ground to measure the reaction force (max. 450 kgf) against the sole of the foot, as shown in Figure 6a. The measurement device crosstalk is less than 2% on all channels, and the Fx, Fy, and Fz hysteresis and nonlinearity are ±0.2% of the full-scale output. As shown in Figure 6b, two or three force plates were placed on the steps at location (3) in Figure 4a to measure the reaction force (max. 200 kgf) of the steps against the foot. The error rate of the force plates is 0.03%. In order to measure the three-axis handle reaction force (max. 100 kgf) against the hand, three handles were fabricated based on CurioTec CBSM-100L shear whose combined error is 0.03%, as shown in Figure 6c,d. Two handles, shown in Figure 6c, were attached to the A pillar and the door at location (1) in Figure 4a, and one handle, shown in Figure 6d, was attached to the B pillar at location (2) in Figure 4a.


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

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

Reaction force measurement devices: (a) AMTI OR6-7 force plates on the ground; (b) force plate on a step; (c) three-axis force handle attached to the A pillar and door marked by (1) in Figure 4a, and (d) three-axis force handle attached to the B pillar marked by (2) in Figure 4a.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-13568-f006: Reaction force measurement devices: (a) AMTI OR6-7 force plates on the ground; (b) force plate on a step; (c) three-axis force handle attached to the A pillar and door marked by (1) in Figure 4a, and (d) three-axis force handle attached to the B pillar marked by (2) in Figure 4a.
Mentions: In order to validate the boundary conditions for biomechanical analysis, eight force measurement devices were prepared. The sampling frequency of all measurement devices was 1 kHz. Two AMTI OR6-7 force plates [20] were placed on the ground to measure the reaction force (max. 450 kgf) against the sole of the foot, as shown in Figure 6a. The measurement device crosstalk is less than 2% on all channels, and the Fx, Fy, and Fz hysteresis and nonlinearity are ±0.2% of the full-scale output. As shown in Figure 6b, two or three force plates were placed on the steps at location (3) in Figure 4a to measure the reaction force (max. 200 kgf) of the steps against the foot. The error rate of the force plates is 0.03%. In order to measure the three-axis handle reaction force (max. 100 kgf) against the hand, three handles were fabricated based on CurioTec CBSM-100L shear whose combined error is 0.03%, as shown in Figure 6c,d. Two handles, shown in Figure 6c, were attached to the A pillar and the door at location (1) in Figure 4a, and one handle, shown in Figure 6d, was attached to the B pillar at location (2) in Figure 4a.

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