On the use of the Emotiv EPOC neuroheadset as a low cost alternative for EEG signal acquisition

Diego S. Benitez, Sebastian Toscano, Adrian Silva

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

27 Scopus citations

Abstract

This paper describes the use of the Emotiv EPOC as a relatively low cost method for acquiring raw EEG signals, and proposes an automatic eyewink interpretation system based on raw EEG signal analysis for human-machine interface as a possible aid for people with disabilities. To demonstrate the feasibility of using the EEG raw signals acquired by using the Emotiv system, an eyewinks' classification algorithm based on Artificial Neural Networks (ANN) was implemented as an example. The proposed algorithm has been found effective in detecting and classifying eyewinks that can then be translated to valid commands for human-machine interface. The performance of the proposed approach was studied using two types of ANN topologies. The results obtained indicated a high rate of classification accuracy, therefore, suggesting that the Emotiv EPOC can be used as a valid tool for research.

Original languageEnglish
Title of host publication2016 IEEE Colombian Conference on Communications and Computing, COLCOM 2016 - Conference Proceedings
EditorsLorena Garcia
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509010844
DOIs
StatePublished - 18 Jul 2016
Event2016 IEEE Colombian Conference on Communications and Computing, COLCOM 2016 - Cartagena, Colombia
Duration: 27 Apr 201629 Apr 2016

Publication series

Name2016 IEEE Colombian Conference on Communications and Computing, COLCOM 2016 - Conference Proceedings

Conference

Conference2016 IEEE Colombian Conference on Communications and Computing, COLCOM 2016
Country/TerritoryColombia
CityCartagena
Period27/04/1629/04/16

Keywords

  • Brain Computer Interface
  • EEG
  • Eyewink Detection
  • Neural Network Classification

Fingerprint

Dive into the research topics of 'On the use of the Emotiv EPOC neuroheadset as a low cost alternative for EEG signal acquisition'. Together they form a unique fingerprint.

Cite this