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Thinking Out Loud: Research and Development of Brain Computer Interfaces

2007

Talk

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My principal interest is in applying machine-learning methods to the development of Brain-Computer Interfaces (BCI). This involves the classification of a user‘s intentions or mental states, or regression against some continuous intentional control signal, using brain signals obtained for example by EEG, ECoG or MEG. The long-term aim is to develop systems that a completely paralysed person (such as someone suffering from advanced Amyotrophic Lateral Sclerosis) could use to communicate. Such systems have the potential to improve the lives of many people who would be otherwise completely unable to communicate, but they are still very much in the research and development stages.

Author(s): Hill, NJ.
Year: 2007
Month: July
Day: 27

Department(s): Empirical Inference
Bibtex Type: Talk (talk)

Digital: 0
Event Name: Invited keynote talk at the Max Planck Society‘s PhDNet Workshop 2007.
Event Place: Frankfurt
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: PDF

BibTex

@talk{6223,
  title = {Thinking Out Loud: Research and Development of Brain Computer Interfaces},
  author = {Hill, NJ.},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = jul,
  year = {2007},
  month_numeric = {7}
}