Problem solving using hybrid brain-computer interface methods: A review

James Henshaw, Wei Liu, Daniela Romano

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

10 Citations (Scopus)

Abstract

The latest advancements in hybrid brain-computer interface (hBCI) research are reported in this paper. Specifically we look at the latest pure hBCI systems, which use two or more different brain-computer interface (BCI) signals to allow the user to interact with a computer system. A special emphasis is placed on investigating how problems encountered by standard BCI systems are now being tackled by hBCI methods.

Original languageEnglish
Title of host publication5th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages215-219
Number of pages5
ISBN (Electronic)9781479972807
DOIs
Publication statusPublished - Jan 2014
Event5th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2014 - Vietri sul Mare, Italy
Duration: 5 Nov 20147 Nov 2014

Publication series

Name5th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2014 - Proceedings

Conference

Conference5th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2014
Country/TerritoryItaly
CityVietri sul Mare
Period5/11/147/11/14

Keywords

  • BCI
  • BMI
  • brain-computer interface
  • ERD
  • hBCI
  • hybrid
  • P300
  • review
  • SSVEP

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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