Brain Computer Interfacing
S.J. Roberts and W.D. Penny (2000)
Real-time Brain Computer Interfacing: a preliminary study using Bayesian learning Medical and Biological Engineering and Computing , Vol 38, No. 1, pp.56-61, 2000.
W.D. Penny, S.J. Roberts, E. Curran and M. Stokes(2000)
EEG-based communication: a pattern recognition approach IEEE Transactions on Rehabilitation Engineering, Vol 8, No. 2, June.
W.D. Penny, S.J. Roberts and M. Stokes(1999)
EEG-based communication: a pattern recognition approach Brain-Computer Interface Technology: Theory and practice. First International Meeting, Rensselaerville, New York, June 1999.
W.D. Penny and S.J. Roberts (1999)
Experiments with an EEG-based computer interface Technical Report, Department of Electrical Engineering, Imperial College.
W.D. Penny, S.J. Roberts (1999)
EEG-based communication via dynamic neural network models
In Proceedings IJCNN'99 .
W.D. Penny, S.J. Roberts and M.J. Stokes (1998).
Imagined Hand Movements Identified from the EEG Mu-Rhythm.
Technical Report. Department of Electrical Engineering, Imperial
College .
S.J. Roberts, W. Penny & I.Rezek (1998).
Temporal and Spatial Complexity measures for EEG-based Brain-Computer
Interfacing. Medical & Biological Engineering and
Computing, Vol 37, No. 1, pp. 93-99.
W.D. Penny and S.J. Roberts (1997).
Bayesian neural networks for detection of imagined finger movements from
single-trial EEG. Technical Report, Department of Electrical Engineering, Imperial College.