Study on Real-time Detection of Alertness Based on EEG
Human alertness varies in tasks requiring sustained attention. This can lead to severe consequences in occupations like car traffic operation, air traffic control and nuclear power plant monitoring and so on. EEG that is the electrical activity of brain can reflect the state of alertness. In this paper, the present work aims at real-time estimation of alertness from EEG signals. We made subjects perform a test of variables of attention (TOVA) and recorded their response time that was selected as a metric to quantify the subjects performance. Synchronously, we acquired the EEG signals of the subjects during the whole test. We studied the correlation between EEG power spectrum and response time, and used the power spectrum to construct the models of estimation alertness for single subjects by means of support vector machines method. The experimental results show the possibility of using EEG signals to real-time estimation alertness. We conclude that the method is helpful for the construct of the practical real-time detection system to alertness.
Luzheng Bi Ran Zhang Zhilong Chen
School of Mechanical and Vehicular Engineering, Beijing Institute of Technology Bejing, 100081 China School of Life Science and Technology Beijing Institute of Technology Beijing, 100081 China
国际会议
北京
英文
1511-1514
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）