Abstract
The purpose behind the study is to develop the mathematical modeling of a psychophysical factors for drivers’ fatigue, which can predict the relationship between the process input parameters and output response. Ten subjects participated in this study. The electromyography (EMG) responses were taken and evaluated using an Electromyography (EMG) device. The psychophysical factor such as muscle fatigue is one of the contributors to the drivers’ fatigue problem, which led to road accidents among Malaysian. To efficiently formulate and develop the mathematical modeling of a psychophysical factors, the process modeling using Response Surface Methodology (RSM) was proposed. Design Expert 8.0.6 software was used in the RSM analysis. The mathematical model was successfully developed and validated. The modeling validation runs were within the 90% prediction interval of the developed model, and the residual errors compared to the predicted values were less than 10%. The significant parameters that influenced the muscle fatigue were also identified. Muscle fatigue was influenced by the time exposure, type of road, gender, interaction between time exposure and type of road, and interaction between type of road and gender. Throughout this study, the authors believe there is a new contribution to the body of knowledge.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Ani, Mohammad Firdaus UNSPECIFIED Kamat, Seri Rahayu UNSPECIFIED Husin, Kalthom UNSPECIFIED |
Subjects: | T Technology > TJ Mechanical engineering and machinery |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Mechanical Engineering |
Journal or Publication Title: | Journal of Mechanical Engineering (JMechE) |
UiTM Journal Collections: | UiTM Journal > Journal of Mechanical Engineering (JMechE) |
ISSN: | 18235514 |
Volume: | SI 3 |
Number: | 2 |
Page Range: | pp. 109-122 |
Keywords: | Electromyography, Psychophysical, Mathematical Modeling |
Date: | 2017 |
URI: | https://ir.uitm.edu.my/id/eprint/38683 |