文献类型：期刊文献

英文题名：Classification of motion direction perceived based on EEG

作者：Jing, Jin[1]; Xingyu, Wang[1]; Jianhua, Zhang[1]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China

年份：2008

起止页码：4322

外文期刊名：Chinese Control and Decision Conference, 2008, CCDC 2008

收录：EI(收录号：20084011622658)

语种：英文

外文关键词：Independent component analysis - Electrophysiology - Particle swarm optimization (PSO) - Motion analysis

摘要：In this paper, an experiment was designed to record the electroencephalography when people caught the vision of differently directional moving (turning right, turning left, moving forward, moving backward). The signals from 30 EEG channels were analyzed by independent component analysis to obtain the independent components. The tagged permutations of independent components were obtained and a discrete space was formed by the tags. A discrete particle swarm optimization algorithm was used to search the optimal permutation through the discrete space. Based on the optimal permutation of independent components, the features were obtained and a high classification accuracy rate can be reached. ? 2008 IEEE.