Pattern Recognition of EEG Signals and Applications in Robotics  

作　　者：ZHANG Xiao-dong CHENG Zhi-qiang LI De-jun 

机构地区：[1]School of Mechanical Engineering,Xi''an Jiaotong University,710049 Xi''an,China School of Mechanical Engineering,Xi''an Jiaotong University,710049 Xi''an,China School of Mechanical Engineering,Xi''an Jiaotong University,710049 Xi''an,China

出　　处：《Chinese Journal of Biomedical Engineering(English Edition)》2006年第4期159-170,共12页中国生物医学工程学报（英文版）

基　　金：Supported by the NSFC-KOSEF Scientific Cooperation Program from the Korea Science and Engineering Foundation (Grant No. F01-2005-000-10069-0);the National Natural Science Foundation of China (Grant No. 50375115)

摘　　要：With the rapid development of brain computer interface (simply called BCI), electroencephalography (EEG) will be another interesting bio-electrical signal applied in robotics after EMG. In order to realize it finally, the accurate measurement and pattern recognition of EEG signal must be a very important and elementary research objective. Based on our current researches and some reports from the other international colleagues in the field, we deeply discuss the basic characteristics of EEG signal, the development and selection of EEG measurement system, feature extraction and recognition methods of EEG signal, and then review EEG’s applications in robotics as well as the future research trends in this paper.With the rapid development of brain computer interface (simply called BCI), electroencephalography (EEG) will be another interesting bio-electrical signal applied in robotics after EMG. In order to realize it finally, the accurate measurement and pattern recognition of EEG signal must be a very important and elementary research objective. Based on our current researches and some reports from the other international colleagues in the field, we deeply discuss the basic characteristics of EEG signal, the development and selection of EEG measurement system, feature extraction and recognition methods of EEG signal, and then review EEG’s applications in robotics as well as the future research trends in this paper.

关 键 词：ELECTROENCEPHALOGRAPHY PATTERN RECOGNITION ROBOTICS CONTROL 

分 类 号：R318[医药卫生—生物医学工程]