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PubMed · 10896191

EEG-based communication: a pattern recognition approach.

W D Penny·S J Roberts·E A Curran·M J Stokes
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Abstract

We present an overview of our research into brain-computer interfacing (BCI). This comprises an offline study of the effect of motor imagery on EEG and an online study that uses pattern classifiers incorporating parameter uncertainty and temporal information to discriminate between different cognitive tasks in real-time.

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Communication Devices for People with DisabilitiesElectroencephalographyEvoked PotentialsFourier AnalysisHumansImaginationMotor CortexNeural Networks, ComputerSignal Processing, Computer-AssistedSomatosensory CortexUser-Computer InterfaceJournal ArticleResearch Support, Non-U.S. Gov't

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W D Penny, S J Roberts, E A Curran, M J Stokes. 2000. EEG-based communication: a pattern recognition approach.. https://doi.org/10.1109/86.847820

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An overview of technological resources used in rehabilitation research with people with severe/profound and multiple disabilities.

PURPOSE: This paper provides an outline of technological resources used in rehabilitation research with persons with severe/profound and multiple disabilities, and discusses the practicality of such resources. METHOD: Research articles published during the last 8 years (1993-2000) are considered. With regard to each of the technological resources used in the articles (i.e. microswitches, speech output devices, computer-aided instruction systems, audio recording systems, orientation systems, mobile robot, and SIBIS), accessibility, cost and implementation issues are examined. RESULTS AND CONCLUSIONS: Some technological resources are easily accessible and affordable (i.e. microswitches, speech output devices, audio-recording systems and SIBIS). Other resources are still at the prototype level (i.e. computer-aided instruction systems, orientation systems and robot) and are much more complex and costly. In spite of this, the latter resources might still have an important role in daily contexts.

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