Abstract
Evaluation of the steering wheel control is important to optimise the posture of the driver. The purpose of this study was to determine the relationship between muscle contraction at the shoulder and anthropometric variables when performing steering wheel task. Participants were recruited to perform multiple steering wheel actions. The surface electromyogram (SEMG) evaluation and anthropometric parameter measurement of individuals were recorded simultaneously during the experiment. For the statistical analysis, the anthropometric parameter was selected as an independent variable, while muscle activity based on SEMG measurement was chosen as the dependent variable. The results reveal that the left deltoid muscle showed the highest contraction at the right turn with high degree of turning. The SEMG and anthropometric data were positively correlated, and the predictive model shows the validity of the proposed model with the R2 value nearly 0.50. This finding recommends that driver’s anthropometric parameter may provide a good reference in a real driving task for controlling the steering wheel. Thus, some of potential utilization from this research is the optimizing in changing the vehicle design for allowing an independent adjustment to the relative distance between the driver seat and the steering wheel.
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The authors would like to acknowledge all participants involved in this research.
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This work was supported by the Universiti Kebangsaan Malaysia and Ministry of Higher Education, Malaysia under Fundamental Research Grant Scheme (FRGS/1/2018/TK03/UKM/03/2).
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The authors declare no conflict of interest.
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Khamis, N.K., Schramm, D., Sabri, M.A.M., Khalid, M.S.A. (2022). Localised Muscle Contraction Predictor for Steering Wheel Operation in Simulated Condition. In: Ab. Nasir, A.F., Ibrahim, A.N., Ishak, I., Mat Yahya, N., Zakaria, M.A., P. P. Abdul Majeed, A. (eds) Recent Trends in Mechatronics Towards Industry 4.0. Lecture Notes in Electrical Engineering, vol 730. Springer, Singapore. https://doi.org/10.1007/978-981-33-4597-3_58
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