Real-time EEG signal analysis for driver fatigue detection based on wavelet entropy

摘要：

Objective Driver”s fatigue is a serious problem that leads to thousands of automobile crashes each year.It not only accompanies by drowsiness, but also has a negative impact on mood.Hence how to detect driver fatigue draws wide concern.Here, we proposed a real-time electroencephalogram (EEG) signal analysis method based on a wavelet entropy measure for driving fatigue detection.

作者: Chi Zhang Hong Wang

作者单位: Department of Mechanical Engineering and Automation,Northeastern University, Shenyang, China, 110819 Department of Mechanical Engineering and Automation,Northeastern University, Shenyang, China, 110819

会议类型: 国内会议

会议名称: 第三届脑成像与脑电研究与应用研讨会

会议地点: 大连

会议语种:英文

页码: 59-59

在线出版日期: 2016-07-01（万方平台首次上网日期，不代表论文的发表时间）