An EEG-based Driver Drowsiness Detection System Design

• Main Authors: LIN, FANG-YU, 林芳瑜
• Other Authors: Hsiung, Pao-Ann
• Format: Others
• Language: en_US
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/jv33ev

碩士 === 國立中正大學 === 資訊工程研究所 === 106 === Every year tens of thousands of traffic accidents occur. Most of them are related to fatigue. Fatigue driving has always been a very serious traffic problem. In the worst case, such traffic accidents can be fatal. In order to ensure road safety and increase driving safety, we must use an effective method to detect the driver’s drowsiness level to prevent serious traffic accidents. Thus, we expect to be able to build an innovative system to solve this serious problem. In order to detect driving fatigue, we propose a drowsiness detection system which is based on wearable single channel EEG headset device. The single channel EEG instrument is not expensive so driver can afford it and it is a non-invasive instrument that can reduce the wearing discomfort and does not affect the driver’s operation of the vehicle. The driver wore the EEG instrument at the same time transmit their EEG data to a computing platform. In this way it can effectively reduce the operation time to do drowsiness detection and the danger warning can be sent back to the driver as a feedback. Our work uses two drowsiness verification step to reduce the number of false positives. Experiments show that our system can effectively distinguish between the state of awake and drowsiness of driver in short time.