DRIVER DROWSINESS DETECTION USING PHYSIOLOGICAL SIGNALS

• 主要作者: ,, MUHAMMAD AWAIS
• 格式: Thesis
• 语言: English
• 出版: 2014
• 主题: TK Electrical engineering. Electronics Nuclear engineering
• 在线阅读: http://utpedia.utp.edu.my/id/eprint/21214/1/2014-ELECTRICAL%20AND%20ENGINEERING-DRIVER%20DROWNSINESS%20DETECTION%20USING%20PHYSIOLOGICAL%20SIGNALS-%20MUHAMMAD%20AWAIS-%20MASTER%20OF%20SCIENCE.pdf; http://utpedia.utp.edu.my/id/eprint/21214/

Driver drowsiness is considered to be a very critical issue causing many fatal accidents, injuries and property damages. Therefore it has been an area of intensive research during recent years. In this study, a driver drowsiness detection system is proposed, that integrates Electrocardiogram (ECG) and Electroencephalogram (EEG) features to detect drowsiness. The proposed system is based upon the idea to observe the physiological variations that occurs from alert to drowsy state. For physiological data acquisition, a driving simulator based study was conducted in a monotonous driving environment to get the driver drowsy naturally. Twenty two healthy university students voluntarily participated in the experiment after strict inclusion criteria. Features extracted from the EEG signal were absolute power, relative power, and coherence in alert and drowsy state.