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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

Drawings of the truck mockup (all of the numbers in the subfigures are in millimeters): (a) front view and (b) side view.
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sensors-15-13568-f004: Drawings of the truck mockup (all of the numbers in the subfigures are in millimeters): (a) front view and (b) side view.

Mentions: A full-size truck mockup was built for the ingress/egress experiment, as shown in Figure 3. In order to make straight and oblique stairs, three portable, adjustable-height steps were constructed, as shown in Figure 3a. The experimental mockup was built within a minimal frame using aluminum profiles so that body movements could be readily captured by the cameras of an optical motion capture system. In order to prevent reflection noise, the glossy parts were covered with an opaque powder. Figure 4 shows the dimensions of the truck steps. The location and height of a step are denoted by Xi, Yi, and Zi. Table 2 lists the locations and heights of the steps for all eighteen cases for the truck ingress/egress experiment.


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

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

Drawings of the truck mockup (all of the numbers in the subfigures are in millimeters): (a) front view and (b) side view.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-13568-f004: Drawings of the truck mockup (all of the numbers in the subfigures are in millimeters): (a) front view and (b) side view.
Mentions: A full-size truck mockup was built for the ingress/egress experiment, as shown in Figure 3. In order to make straight and oblique stairs, three portable, adjustable-height steps were constructed, as shown in Figure 3a. The experimental mockup was built within a minimal frame using aluminum profiles so that body movements could be readily captured by the cameras of an optical motion capture system. In order to prevent reflection noise, the glossy parts were covered with an opaque powder. Figure 4 shows the dimensions of the truck steps. The location and height of a step are denoted by Xi, Yi, and Zi. Table 2 lists the locations and heights of the steps for all eighteen cases for the truck ingress/egress experiment.

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