EEG-based communication: A pattern recognition approach

W D Penny; S J Roberts; E A Curran; M J Stokes

doi:10.1109/86.847820

EEG-based communication: A pattern recognition approach

W D Penny
, S J Roberts
, E A Curran
, M J Stokes

Research output: Contribution to journal › Article › peer-review

178 Citations (Scopus)

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.

Original language	English
Pages (from-to)	214-215
Number of pages	2
Journal	IEEE Transactions on Rehabilitation Engineering
Volume	8
Issue number	2
DOIs	https://doi.org/10.1109/86.847820
Publication status	Published - Jun 2000

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Communication Aids for Disabled
Electroencephalography
Evoked Potentials
Fourier Analysis
Humans
Imagination
Motor Cortex
Neural Networks (Computer)
Signal Processing, Computer-Assisted
Somatosensory Cortex
User-Computer Interface
Journal Article
Research Support, Non-U.S. Gov't

Access to Document

10.1109/86.847820

Cite this

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