Journal of the Ergonomics Society of Korea (대한인간공학회지)

Ergonomics Society of Korea (대한인간공학회)
권호 표지
DOI QR코드

DOI QR Code

A Research on EEG Synchronization of Movement Cognition for Brain Computer Interface

뇌 컴퓨터 인터페이스를 위한 뇌파와 동작 인지와의 동기화에 관한 연구

  • Whang, Min-Cheol (Division of Digital Media Engineering, Sangmyung University) ;
  • Kim, Kyu-Tae (Department of Industrial Systems Engineering, Hansung University) ;
  • Goh, Sang-Tae (Division of Digital Media Engineering, Sangmyung University) ;
  • Jeong, Byung-Yong (Department of Industrial Systems Engineering, Hansung University)
  • 황민철 (상명대학교 디지털미디어학부) ;
  • 김규태 (한성대학교 산업시스템공학과) ;
  • 고상태 (상명대학교 디지털미디어학부) ;
  • 정병용 (한성대학교 산업시스템공학과)
  • Published : 2007.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

Brain computer interface is the technology of interface for next generation. Recently, user intention has been tried to be recognized for interfacing a computer. EEG plays important role in developing practical application in this area. Much research has focused on extracting EEG commander generated by human movement. ERD/ERS has generally accepted as important EEG parameters for prediction of human movement. However, There has been difference between initial movement indicated by ERD/ERS and real movement. Therefore, this study was to determine the time differences for brain interface by ERD/ERS. Five university students performed ten repetitive movements. ERD/ERS was determined according to movement execution and the significant pattern showed the difference between movement execution and movement indication of ERD/ERS.

Keywords

References

  1. Pfurtscheller, G. and Lopes da Silva, F. H., 'Event-related EEG/MEG synchronization and desynchronization: basic principles', Clinical Neurophysiology, 110, 1942-1857, 1999 https://doi.org/10.1016/S1388-2457(99)00153-4
  2. Pfurtscheller, G., Muller, G., R., Pfurtscheller, J., Gerner, H. J. and Rupp, R., 'Thought-control of functional electrical strimulation to restore hand grasp in a patient with tetraplegia,' Neuroscience Letter, 351, 33-36, 2003 https://doi.org/10.1016/S0304-3940(03)00947-9
  3. Ruffini, G., Dunne, S., Farres, E., Watts, P. C. P., Mendoza, E., Silva, S. R. P., Grau, C., Marco-Pallares, J., Fuentemilla, L. and Vandecasteele, B., 'ENOBIO-First tests of a dry electrophysiology electrode using carbon nanobubes,' Engineering in Medicine and Biology Society, 2006. Proceedings of the EMBS 2006, 28th Annual International Conference of IEEE, Aug. 1826-1829, 2006
  4. Stancak, A. and Pfurtscheller, G., 'Desynchronization and recovery of beta rhythms during brisk and slow self-paced finger movement in man,' Neuroscience letters, 196, 21-24, 1995 https://doi.org/10.1016/0304-3940(95)11827-J
  5. Whang, M. C. and Lim J. S., 'Research on EEG Parameters for Movement Prediction Based on Individual Difference of Athletic Ability and Lateral Asymmetry of Hemisphere', Korean Journal of Erognomics, Vol.21, No.3, 2002, 1-12 https://doi.org/10.5143/JESK.2002.21.1.001
  6. Wolpaw, J. R., McFarland, D. J. and Vaughan, T. M., 'Brain-computer interface research at the Wadsworth Center.' IEEE Trans Rehabil Eng 8: 222-225, 2000 https://doi.org/10.1109/86.847823
  7. Wolpaw, J. R. and McFarland, D. J., 'Multichannel EEG-based braincomputer communication,' Electroencephalography and Clincal Neurophysiology, 90, 444-449, 1994 https://doi.org/10.1016/0013-4694(94)90135-X
  8. Wolpaw, J. R., McFarland, D. J., Neat, G. W. and Forneris, C. A., 'An EEG-based brain computer interface for cursor control,' Electroencephalography and Clinical Neurophysiology, 78, 252-259, 1991 https://doi.org/10.1016/0013-4694(91)90040-B
  9. 황민철, 최철, '컴퓨터와 인터페이스를 위한 뇌파의 ERD/ERS와 동작 반복도간의 상관성에 관한 연구,' 대한인간공학회지, 23권, 4호, 57-66, 2004

Cited by

  1. Human Error Identification based on EEG Analysis for the Introduction of Digital Devices in Nuclear Power Plants vol.32, pp.1, 2013, https://doi.org/10.5143/JESK.2013.32.1.27