Conversion of EEG activity into cursor movement by a brain-computer interface (BCI)

By G. Fabiani, Dennis J. McFarland, Jonathan R. Wolpaw, Gert Pfurtscheller. IEEE transactions on neural systems and rehabilitation engineering, 2004

316 citations recorded by the source corpus.

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Skinput: appropriating the body as an input surface (2010, background): “[8,18]), but direct braincomputer interfaces (BCIs) still lack the bandwidth required for everyday computing tasks, and require levels of focus, training, and concentration that are incompatible with typical computer interaction.”
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017, methodology): “Overall, BCI research yielded many practical applications, such as BCIs that use EEG signals to control computer cursors (240, 864, 865), computer-assisted spellers (102, 245, 247, 421, 545, 832), wheelchairs (121, 411, 511, 553, 811, 833), and exoskeletons that restore bipedal walking (156, 836).”
Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-Channel EEG Recordings (2020, background): “2930186 clinical assessment [3], and brain-computer interfaces [4].”
Brain-Computer Interfaces: A Gentle Introduction (2009, background): “Some subjects can learn to move a cursor in two [20] or even three [21] dimensions with further training.”
Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces (2015, unknown): “, [2] and [3].”