Earticle

초록

영어

As more and more insight into the human brain, EEG is not only for application, processing and analysis of EEG in science and engineering field, it will also be very important in the physical, psychological and pathological studies in humans. The EEG brain - machine interface technologies to achieve the human brain and the computer or other human interface devices to communicate and control, it can provide a special kind of information exchange and live entertainment, is also disabled and a new way of control. In this paper, the collection of information preprocessing electroencephalogram (EEG) signals is proposed wavelet packet transform feature extraction method, using SVM classifier, classification based on the operation mode to achieve recognition of the EEG signal. For different individuals turn, the next turn, show fist, fist four kinds of hand motion recognition experiments show that the average recognition rate of over 80%, significantly better than the other methods to identify results.

목차

Abstract
 1. Introduction
 2. EEG-Based Brain-Computer Interface System
 3. EEG Definition
  3.1. EEG Data Acquisition
  3.2. Pretreatment EEG
 4. EEG Feature Extraction
  4.1. Wavelet Transform Theory
  4.2. Wavelet Transform Theory
 5. SVM EEG Classification
  5.1. Data Test Results
 6. Conclusion
 References

키워드

저자

• Zhang Chao [ Chang Chun University, Chang Chun, China ]
• Zhao Xilu [ Saitama Institute of Technology, Saitama, Japan ]
• Pan Su [ Department of Orthopedics, the Second Hospital of Jilin University, Changchun, China ] corresponding Author
• Yang Yudan [ China-Japan Union Hospital, Jilin University, Changchun, China ] corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605