Limits...
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.


The fitting curve of validation set.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4581542&req=5

fig11: The fitting curve of validation set.

Mentions: The range of R-square is [0, 1], the closer to 1, showing that the four variables have stronger ability to predict the operating comfort. The calculation result shows that the MSE and R-square of training set are 0.0009 and 0.9883, respectively. In order to verify the validity of GEP model, the rest 7 groups of data are taken into the model for verification. The curve fitting of validation set is shown in Figure 11. And the MSE and R-square are 0.0031 and 0.9538, respectively, which achieve the ideal effect.


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

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

The fitting curve of validation set.
© Copyright Policy
Related In: Results  -  Collection

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

fig11: The fitting curve of validation set.
Mentions: The range of R-square is [0, 1], the closer to 1, showing that the four variables have stronger ability to predict the operating comfort. The calculation result shows that the MSE and R-square of training set are 0.0009 and 0.9883, respectively. In order to verify the validity of GEP model, the rest 7 groups of data are taken into the model for verification. The curve fitting of validation set is shown in Figure 11. And the MSE and R-square are 0.0031 and 0.9538, respectively, which achieve the ideal effect.

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.