文献类型：会议论文

英文题名：Multi-Recognition Algorithms of Human's Mental Fatigue State Based on EEG

作者：Zhang, Yunfei[1];Lu, Bo[1];Su, Limin[1]

通讯作者：Su, LM[1]

机构：[1]Beijing Union Univ, Coll Informat, Beijing 100101, Peoples R China

第一机构：北京联合大学智慧城市学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Informat, Beijing 100101, Peoples R China.|[1141734]北京联合大学智慧城市学院;[11417]北京联合大学;

会议论文集：IEEE 5th International Conference on Advanced Computational Intelligence (ICACI)

会议日期：OCT 18-20, 2012

会议地点：Nanjing, PEOPLES R CHINA

语种：英文

外文关键词：Backpropagation - Entropy - Intelligent computing

摘要：In this paper, the EEG was respectively analyzed by the algorithms of power spectrum and wavelet entropy. And both of the algorithms are based on the same experiment. In addition, through the BP neural network, the state of mental fatigue for human being can be analyzed quickly and correctly. By experiment, when the value of delta is higher than before, at the same time, the value of beta, alpha and theta are lower, or the average value of wavelet entropy is lower, the state of mental fatigue can be sure. Finally, the result, wavelet entropy is better in saving time and accuracy, was got from comparing the two algorithms.