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

Deng, Li; Wang, Guohua; Chen, Bin

doi:10.1155/2015/896072

Cited by 9 publications

(5 citation statements)

References 19 publications

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“…The weighted mean and standard deviations of comfort joint angle (u j and Du j ) can be estimated using equations (1) and (2), and many earlier studies have referred u j to evaluate the comfortable riding posture. 48,49 u j = P 120 n = 1 u jn w jn…”

Section: Methodsmentioning

confidence: 99%

Exploring the association of riders’ physical attributes with comfortable riding posture and optimal riding position

Muthiah

Singh

Karmakar

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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In recent years, there has been a keen interest in the design improvisation of motorcycles. However, the theoretical model of association between motorcycle design attributes (like frame size/riding position) and rider’s physical attributes (like anthropometry, range of motion (ROM), and comfort joint angles) are not well established. This study aims to estimate the relationship between rider’s physical attributes and motorcycle design attributes. During this experimental study, the data was collected from 120 motorcyclists (aged between 19 and 44 years) belonging to 20 major states of India. A test-rig was fabricated to obtain the perceived comfort posture and position data using image processing technique. The anthropometry and ROM were manually measured and verified by reliability testing. The principal component analysis (PCA) and multiple linear regression were used to reduce the set of variables and estimate the relationship between 10 comfortable riding position and joint angles (as dependent variables), and the reduced set of 29 anthropometry and 20 ROM measurements (as the independent variables). These results indicate that the comfort joint angles and riding position were significantly associated with the anthropometrics and ROM of the riders. Highly significant regression models were formulated to examine the relationship between the comfort joint angles/riding position and the anthropometrics and ROM of the riders. The findings may support the motorcycle designers to design a comfortable motorcycle complying with Indian anthropometry and ROM.

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Section: Methodsmentioning

confidence: 99%

Exploring the association of riders’ physical attributes with comfortable riding posture and optimal riding position

Muthiah

Singh

Karmakar

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…However, the tool cannot be modified as needed. Besides, software tools (e.g., JACK [16], CATIA [26], etc.) and measuring devices or sensors (e.g., EMG, motion capture, pressure distribution measurement system [27], etc.)…”

Section: Related Workmentioning

confidence: 99%

“…Previously reported data related to the ROM of joints were used to compare with the results of this study and are available at (doi: https://doi.org/10.1155/2015/896072). This prior study is cited at a relevant place within the text as references [16]. Previously reported data of comfort evaluation model based on the MMGA were used to compare with the results of this study and are available at (doi: https://doi.org/10.1007/978-3-642-02809-0_62).…”

Section: Data Availabilitymentioning

confidence: 99%

Mechanical Energy Expenditure-based Comfort Evaluation Model for Gesture Interaction

Wang

Qin

Chen

et al. 2018

Computational Intelligence and Neuroscience

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As an advanced interaction mode, the gesture has been widely used for the human-computer interaction (HCI). The paper proposes a comfort evaluation model based on the mechanical energy expenditure (MEE) and the mechanical efficiency (ME) to predict the comfort of gestures. The proposed comfort evaluation model takes nineteen muscles and seven degrees of freedom into consideration based on the data of muscles and joints and is capable of simulating the MEE and the ME of both static and dynamic gestures. The comfort scores (CSs) can be therefore calculated by normalizing and assigning different decision weights to the MEE and the ME. Compared with the traditional comfort prediction methods based on measurement, on the one hand, the proposed comfort evaluation model makes it possible for providing a quantitative value for the comfort of gestures without using electromyography (EMG) or other measuring devices; on the other hand, from the ergonomic perspective, the results provide an intuitive indicator to predict which act has the higher risk of fatigue or injury for joints and muscles. Experiments are conducted to validate the effectiveness of the proposed model. According to the comparison result among the proposed comfort evaluation model, the model based on the range of motion (ROM) and the model based on the method for movement and gesture assessment (MMGA), a slight difference can be found due to the ignorance of dynamic gestures and the relative kinematic characteristics during the movements of dynamic gestures. Therefore, considering the feedback of perceived effects and gesture recognition rate in HCI, designers can achieve a better optimization for the gesture design by making use of the proposed comfort evaluation model.

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“…One was to solve the layout problem only by mathematical models. The other one was to reasonably arrange these devices only by ergonomics principles of layout [2][3][4][5][6][7][8][9][10]. Even though Wang Y. L. proposed some improved genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…Even though Wang Y. L. proposed some improved genetic algorithm. Nevertheless the constraints were relatively simple, and application of the objective functions was limited to areas of ship, civil aircraft cabin and vehicle [7][8][9]. The display and control systems of special aircraft cabin had more complex and changeable requirements on layout.…”

Section: Introductionmentioning

confidence: 99%

Cabin Layout Optimization Design and Ergonomics Evaluation

Liu¹,

Wu²,

Zhao³

2016

Proceedings of The6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016)

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Special aircraft cabin layout optimization design was treated as an NP-complete (nondeterministic Polynomial time complete) problem. The empirical design was incapable to meet the developing requirement of the display and control system in modern aircraft cabin. After analysis of three typical cabin layout cases, several factors were found to need optimization in these cases. Therefore, the present study proposed an improved genetic algorithm based on human factors. An optimized cabin layout was carried out by setting the objective function and constraints. Besides, aiming at evaluating the cabin layout, JACK 3-D human analysis software was applied to calculate the operator's reach zone and view cone. This study could provide a technical reference for the cabin layout design of special aircraft.

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

Cited by 9 publications

References 19 publications

Exploring the association of riders’ physical attributes with comfortable riding posture and optimal riding position

Exploring the association of riders’ physical attributes with comfortable riding posture and optimal riding position

Mechanical Energy Expenditure-based Comfort Evaluation Model for Gesture Interaction

Cabin Layout Optimization Design and Ergonomics Evaluation

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