동작 관련 뇌파를 이용한 BCI

  • Published : 2004.02.01

Abstract

인간이 기계를 운용하기 위해서는 인간의 의사를 적절한 방법으로 기계에 입력하여야 하고 명령에 따른 기계의 작동을 때맞추어 알아볼 수 있어야 한다. 이러한 인간과 기계간의 소통(interface)의 대표적인 예를 컴퓨터에서 찾을 수 있다. 인간이 컴퓨터와 소통하는 가장 전형적인 방법은 자판과 마우스, 그리고 모니터를 통한 입출력이다. 스캐너 펜이나 보이스 펜, 착용형 마우스, 또는 카드 리더기나 바코드 입력기, 지문 감식기와 같은 보다 전문적인 입력기기도 존재하며, 별도의 입력기기를 사용하지 않고 직접 음성으로 컴퓨터를 제어하는 음성인식 시스템 또한 활용단계에 이르렀다.

Keywords

References

  1. IEEE Trans Rehabil Eng. v.7 The new design of an infrared-controlled human-computer interface for the disabled Chen YL;Tang FT;Chang WH;Wong MK;Shih YY;Kuo TS
  2. J Rehabil Res Dev v.33 Neural signals for command control and feedback in functional neuromuscular stimulation: a review Hoffer JA;Stein RB;Haugland MK;Sinkjaer T;Durfee WK;Schwartz AB;Loeb GE;Kantor C
  3. Neture v.3;214 no.92 Occipital alpha rhythm eye position and lens accommodation Dewan EM
  4. IEEE Trans Rehabil Eng. v.8 Brain-computer interfaces based on steady-state visual evoked response Middendorf M;Mcmillan G.;Calhoun G.;Jenes KS.
  5. IEEE Trans Rehabil Eng. v.8 no.2 The mental prosthesis: assessing the speed of aP300-based brain-computer interface Donchin E.;Spencer KM.;Wijesinghe R.
  6. IEEE Trans Biomed Eng. v.37 no.12 A new mode of communication between man and his surroundings Keirn ZA;Aunon JI
  7. J Microcomput Appl v.15 The brain response interface: communication through visually-induced electrical brain responses Sutter EE
  8. Nature v.398 A spelling device for the paralyzed Birbaumer N;Ghanayim N;Hinterberger T;Iversen I;Kotchoubey B;Kubler A;Perelmouter J;Taub E;Flor H
  9. Physiol Rev v.70 Slow potentials of the cerebral cortex and behavior Birbaumer N;Elbert T;Canavan AGM;Roch B
  10. IEEE Trans Rehabil Eng. v.8 Brain-computer interface research at the Wadsworth Center Wolpaw JR;McFarland DJ;Vaughan TM
  11. Clin. Neurophysiology v.110 Event-related EEG/MEG synchronization and desynchronization : basic principles Pfurtscheller, G.;Lopes da Silva, F.H.
  12. Electroenceph-alography: basic principles, clinical applications and related fields(4th ed.) The normal EEG of the waking adult Neidermeyer E.;Niedermeyer E(ed.);Lopes da Silva FH(ed.)
  13. Cognitive Brain Research v.4 Event-related desynchronisation of central be ta-rhythrns during brisk and slow self-paced finger movements of dominant and non-dominant hand Stancak, A.;Pfurtscheller, G.
  14. Med Prog Technol v.21 EEG-based brain-computer interface (BCI): search for optimal electrode positions and frequency components Pfurtscheller G;Flotzinger D;Pregenzer W.;Wolpaw JR;McFarland DJ
  15. Proc IEEE v.89 Motor imagery and direct brain-computer communication Pfurtscheller G;Neuper C
  16. IEEE Trans. Rehabil. Engineering v.8 Current Trends in Graz BrainComputer Interface (BCI) Research Pfurtscheller, G.;Neuper, C.;Guger, C.;Harkam, W.;Ramoser, H.;Schlgl. A.;Obermaier, B.;Pregenzer, M.
  17. IEEE Trans Neural Syst Rehabil Eng. v.11 no.1 Implementation of a telemonitoring system for the control of an EEG-based brain-computer interface Muller GR;Neuper C;Pfurtscheller G
  18. Behav Res Methods Instrum Comput v.29 Design and operation of an EEG-based brain-computer interface (BCI) with digital signal processing technology McFarland DJ;Lefkowicz AT;Wolpaw JR
  19. IEEE Trans Rehabil Eng v.8 Parallel man-machine training in development of EEG-based cursor control Kostov A;Polak M
  20. IEEE Trans Rehabil Eng v.8 EEG-based communication : a pattern recognition approach Penny WD;Roberts SJ;Curran EA;Stokes MJ
  21. IEEE Trans Rehabil Eng v.8 Brain-computer interface research at the Neil Squire Foundation Birch GE;Mason SG