| Summary: | 碩士 === 國立交通大學 === 電機與控制工程系所 === 94 === The purpose of this study is to investigate Electroencephalography (EEG) dynamics in response to kinesthetic stimuli during driving. To study human cognition under specific driving task, we used Virtual Reality (VR) based driving simulator to create practical driving events; including acceleration, deceleration and deviation. The driving simulator includes Hydraulic Hexapod Motion Platform that provides tilt mechanism (to give roll, yaw, etc.) to simulate vehicle movement. In this study, we compare the EEG dynamics in response to kinesthetic stimulus while the platform is in action, compared to that were recorded when the platform is stationary. The scalp-recorded EEG channel signals were first separated into independent brain sources by Independent Component Analysis (ICA), then analyzed in time and frequency domains. Our results showed that independent component processes near the somatomotor cortex exhibited alpha power decreases that were consistent across sessions within subjects. Negative potential phase-locked to deviation events under motion condition was observed in a midline central component, which was consisted with the finding in the literature. The brain dynamics appears reproducible across sessions and subjects. This thesis, for the first time in the literature, reports distinctive brain dynamics measured by Event-Related-Potentials (ERP) and Event-Related-Spectral-Perturbations (ERSP) in response to kinesthetic inputs of different types. The results help us to better understand different brain networks involving in driving and provide a foundation in studying EEG activities related to kinesthetic stimuli.
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