Investigation on Factors Affecting Cognitive Skills in Detection of Driving Fatigue

Road safety is a worldwide concern where a high number of fatalities and injuries are caused by traffic accidents. One major issue contributing to these incidents is driving while fatigued, which has been recognized as a contributing factor to accidents in many countries. Being tired while driving is a state that encompasses both physical and mental exhaustion and can greatly impair a person's ability to drive safely. Fatigue negatively affects a driver's cognitive abilities, resulting in decreased performance behind the wheel. The aim of this study is to analyse the effect of driving duration, body mass index (BMI), types of roads and gender factor in causing fatigue while driving. Cognitive skills of drivers while driving was measured through the electroencephalogram (EEG) signal gathered from Emotiv EPOC device to measure brain activity. Relationship between cognitive skills and fatigue signalling is then analysed using regression analysis in Design-Expert software. Results indicated that as mental fatigue increases, there is a noticeable decrease in the relative power of beta rhythm, supporting previous research findings. Results on correlation show that the longer the drivers drove, the wearier they become. Obese people experience more fatigue when driving than those with a normal or overweight BMI. Driving on straight roads resulted in greater fatigue compared to driving on winding ones, with female participants indicating higher levels of tiredness than male participants. These insights are crucial for road safety authorities to tailor their supervision methods based on individual characteristics and to design effective driver fatigue warnings.

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Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2024-09-19
DOI
https://doi.org/10.37934/araset.51.2.270280
Citations
1
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
0.51

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article

Investigation on Factors Affecting Cognitive Skills in Detection of Driving Fatigue

Seri Rahayu Kamat, Syamimi Shamsuddin, Muhammad Shafiq Ibrahim, Rudi Setiawan et al.
1 citations
Journal of Advanced Research in Applied Sciences and Engineering Technology
Sleep and Work-Related Fatigue
0.51
article

Investigation on Factors Affecting Cognitive Skills in Detection of Driving Fatigue

Seri Rahayu Kamat, Syamimi Shamsuddin, Muhammad Shafiq Ibrahim, Rudi Setiawan, Jia Xin Ho
article en
1 citations

Abstract

Road safety is a worldwide concern where a high number of fatalities and injuries are caused by traffic accidents. One major issue contributing to these incidents is driving while fatigued, which has been recognized as a contributing factor to accidents in many countries. Being tired while driving is a state that encompasses both physical and mental exhaustion and can greatly impair a person's ability to drive safely. Fatigue negatively affects a driver's cognitive abilities, resulting in decreased performance behind the wheel. The aim of this study is to analyse the effect of driving duration, body mass index (BMI), types of roads and gender factor in causing fatigue while driving. Cognitive skills of drivers while driving was measured through the electroencephalogram (EEG) signal gathered from Emotiv EPOC device to measure brain activity. Relationship between cognitive skills and fatigue signalling is then analysed using regression analysis in Design-Expert software. Results indicated that as mental fatigue increases, there is a noticeable decrease in the relative power of beta rhythm, supporting previous research findings. Results on correlation show that the longer the drivers drove, the wearier they become. Obese people experience more fatigue when driving than those with a normal or overweight BMI. Driving on straight roads resulted in greater fatigue compared to driving on winding ones, with female participants indicating higher levels of tiredness than male participants. These insights are crucial for road safety authorities to tailor their supervision methods based on individual characteristics and to design effective driver fatigue warnings.

Journal of Advanced Research in Applied Sciences and Engineering TechnologyVol. 51(2)
Universiti Sains Malaysia (MY), Technical University of Malaysia Malacca (MY), Sumatera Institute of Technology (ID)
Universiti Sains Malaysia, Universiti Teknikal Malaysia Melaka
Openalex Percentile: Top 30%
Sleep and Work-Related Fatigue
0.51
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