A human computer interface using SSVEP-based BCI technology

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4565 LNAI, Issue , 2007, Pages 113-119

  Jia, Chuan ^a   Xu, Honglai ^a   Hong, Bo ^a   Gao, Xiaorong ^a   Zhang, Zhiguang ^a   Gao, Shangkai ^a  

^a Tsinghua University   (China)

Author keywords

Brain computer interface (BCI); Input device; Steady state visual evoked potential (SSVEP)

Indexed keywords

BRAIN; COMPUTER SYSTEMS; DATA PROCESSING; PERSONAL COMPUTERS; SOFTWARE DESIGN; USER INTERFACES;

BRAIN COMPUTER INTERFACE (BCI); INPUT DEVICES; STEADY STATE VISUAL EVOKED POTENTIAL (SSVEP);

HUMAN COMPUTER INTERACTION;

EID: 38049093793     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73216-7_13     Document Type: Conference Paper

References (7)

1. Jacko, J.A., Sears, A.: The Human Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications, pp. 246-343. Lawrence Erlbaum Associates, London (2003)
2. Lebedev, M.A., Nicolelis, M.A.L.: Brain-machine interfaces: past, present and future. Trends in Neurosciences 29(9), 536-546 (2006)
3. Cheng, M., Gao, X., Gao, S., Xu, D.: Design and implementation of a brain-computer interface with high transfer rates. IEEE Trans. Biomed. Eng. 49(10), 1181-1186 (2002)
4. Gao, X., Xu, D., Cheng, M., Gao, S.: A BCI-based environmental controller for the motion-disabled. IEEE Trans. Neural. Sys. Reh. Eng. 11(2), 137-140 (2003)
5. Wang, Y., Wang, R., Gao, X., Hong, B., Gao, S.: A Practical VEP-Based Brain-Computer Interface. IEEE Trans. Neural. Sys. Reh. Eng. 14(2), 234-239 (2006)
6. Wang, Y., Zhang, Z., Gao, X., Gao, S.: Lead selection for SSVEP-based brain-computer interface. In: Proc. Annual International Conference of IEEE EMBS, pp. 4507-4509 (2004)
7. Trejo, L.J., Rosipal, R., Matthews, B.: Brain-Computer Interfaces for 1-D and 2-D Cursor Control: Designs Using Volitional Control of the EEG Spectrum or Steady-State Visual Evoked Potentials. IEEE Trans. Neural. Sys. Reh. Eng. 14(2), 225-229 (2006)