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Saidatul Ardeenawatie Awang

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Saidatul Ardeenawatie Awang

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Saidatul Ardeenawatie, Awang

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Saidatul, Ardeenawatie

Awang, S. A.

Awang, Saidatul Ardeenawatie

Awang, Saidatul Ardeenaawatie

Awang, Saidatul Ardeenawatie Binti

Awang, Saidatul Ardeenawatiebinti

Saidatul, A.

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Universiti Malaysia Perlis

Scopus Author ID

57205231792

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CCJ-6771-2022

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Abdul Hafiz Abd Halin

Muhajir Ab. Rahim 1

Saidatul Ardeenawatie Awang 1

Shahriman Abu Bakar 1

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driving simulation | EEG | emotion recognition | unity 1

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Development of Driving Simulation Experiment Protocol for the Study of Drivers’ Emotions by using EEG Signal

( 2024-06-01)
Abdul Hafiz Abd Halin
;
Wan Khairunizam Wan Ahmad
;
Wan Azani Wan Mustafa
;
Muhajir Ab. Rahim
;
Zuradzman Mohamad Razlan
;
Shahriman Abu Bakar
;
Saidatul Ardeenawatie Awang

The Brain-Computer Interface (BCI) is a field of research that studies the EEG signal in order to elevate our understanding of the human brain. The applications of BCI are not limited to the study of the brain wave but also include its applications. The studies of human emotions specific to the vehicle driver are limited and not vastly explored. The EEG signal is used in this study to classify the emotions of drivers. This research aims to study the emotion classifications (surprise, relax/neutral, focus, fear, and nervousness) while driving the simulated vehicle by analyse the EEG signals. The experiments were conducted in 2 conditions, autonomous and manual drive in the simulated environment. In autonomous driving, vehicle control is disabled. While in manual drive, the subjects are able to control the steering angle, acceleration, and brake pedal. During the experiments, the EEG data of the subjects is recorded and then analyzed.

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