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Operating Comfort Prediction Model of Human-Machine Interface Layout for Cabin Based on GEP.

Deng L, Wang G, Chen B - Comput Intell Neurosci (2015)

Bottom Line: Through joint angles to describe operating posture of upper limb, the joint angles are taken as independent variables to establish the comfort model of operating posture.With 22 groups of evaluation data as training sample and validation sample, GEP algorithm is used to obtain the best fitting function between the joint angles and the operating comfort; then, operating comfort can be predicted quantitatively.The operating comfort prediction result of human-machine interface layout of driller control room shows that operating comfort prediction model based on GEP is fast and efficient, it has good prediction effect, and it can improve the design efficiency.

View Article: PubMed Central - PubMed

Affiliation: School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China.

ABSTRACT
In view of the evaluation and decision-making problem of human-machine interface layout design for cabin, the operating comfort prediction model is proposed based on GEP (Gene Expression Programming), using operating comfort to evaluate layout scheme. Through joint angles to describe operating posture of upper limb, the joint angles are taken as independent variables to establish the comfort model of operating posture. Factor analysis is adopted to decrease the variable dimension; the model's input variables are reduced from 16 joint angles to 4 comfort impact factors, and the output variable is operating comfort score. The Chinese virtual human body model is built by CATIA software, which will be used to simulate and evaluate the operators' operating comfort. With 22 groups of evaluation data as training sample and validation sample, GEP algorithm is used to obtain the best fitting function between the joint angles and the operating comfort; then, operating comfort can be predicted quantitatively. The operating comfort prediction result of human-machine interface layout of driller control room shows that operating comfort prediction model based on GEP is fast and efficient, it has good prediction effect, and it can improve the design efficiency.

No MeSH data available.


Set up the preferred angle of upper arm.
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fig4: Set up the preferred angle of upper arm.

Mentions: (1) Set Up the Preferred Angle and Corresponding Score of Each DOF of Joints. According to Table 1, to divide comfortable ROM of head, chest, waist, shoulder, upper arm, and forearm, edit the angle of locomotive parts of the human body, and set up the comfort score. For example, select the upper arm of the virtual human body model in Figure 4, edit the angular limitations and the preferred angles of DOF 2(adduction/abduction). The range is divided into three levels: comfortable range, less comfortable range, and uncomfortable range. The range is divided into five regions and different levels, respectively, show different colors. Meanwhile, in the blue area (−5°~25°), upper arm is comfortable and the score is 9 points, while, in the yellow area (−10°~−5°, 25°~60°), upper arm is less comfortable and the score is 7 points, whereas, in the red area (−18°~−10°, 60°~80°), upper arm is uncomfortable and the score is 5 points.


Operating Comfort Prediction Model of Human-Machine Interface Layout for Cabin Based on GEP.

Deng L, Wang G, Chen B - Comput Intell Neurosci (2015)

Set up the preferred angle of upper arm.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4581542&req=5

fig4: Set up the preferred angle of upper arm.
Mentions: (1) Set Up the Preferred Angle and Corresponding Score of Each DOF of Joints. According to Table 1, to divide comfortable ROM of head, chest, waist, shoulder, upper arm, and forearm, edit the angle of locomotive parts of the human body, and set up the comfort score. For example, select the upper arm of the virtual human body model in Figure 4, edit the angular limitations and the preferred angles of DOF 2(adduction/abduction). The range is divided into three levels: comfortable range, less comfortable range, and uncomfortable range. The range is divided into five regions and different levels, respectively, show different colors. Meanwhile, in the blue area (−5°~25°), upper arm is comfortable and the score is 9 points, while, in the yellow area (−10°~−5°, 25°~60°), upper arm is less comfortable and the score is 7 points, whereas, in the red area (−18°~−10°, 60°~80°), upper arm is uncomfortable and the score is 5 points.

Bottom Line: Through joint angles to describe operating posture of upper limb, the joint angles are taken as independent variables to establish the comfort model of operating posture.With 22 groups of evaluation data as training sample and validation sample, GEP algorithm is used to obtain the best fitting function between the joint angles and the operating comfort; then, operating comfort can be predicted quantitatively.The operating comfort prediction result of human-machine interface layout of driller control room shows that operating comfort prediction model based on GEP is fast and efficient, it has good prediction effect, and it can improve the design efficiency.

View Article: PubMed Central - PubMed

Affiliation: School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China.

ABSTRACT
In view of the evaluation and decision-making problem of human-machine interface layout design for cabin, the operating comfort prediction model is proposed based on GEP (Gene Expression Programming), using operating comfort to evaluate layout scheme. Through joint angles to describe operating posture of upper limb, the joint angles are taken as independent variables to establish the comfort model of operating posture. Factor analysis is adopted to decrease the variable dimension; the model's input variables are reduced from 16 joint angles to 4 comfort impact factors, and the output variable is operating comfort score. The Chinese virtual human body model is built by CATIA software, which will be used to simulate and evaluate the operators' operating comfort. With 22 groups of evaluation data as training sample and validation sample, GEP algorithm is used to obtain the best fitting function between the joint angles and the operating comfort; then, operating comfort can be predicted quantitatively. The operating comfort prediction result of human-machine interface layout of driller control room shows that operating comfort prediction model based on GEP is fast and efficient, it has good prediction effect, and it can improve the design efficiency.

No MeSH data available.