Self-paced training on motor imagery-based BCI for minimal calibration time

Seon Min Kim, Min Ho Lee, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Motor imagery (MI)-based brain-computer interface (BCI) allows users to control external devices using the brain signal patterns induced by the imagination of movements. Since these patterns have high variability between subjects and sessions, the BCI system necessarily requires 20-30 minutes for the calibration process each time the system is used. This time-consuming process requires a high level of the user's concentration; most users experience uncomfortable feelings such as tiredness, exhaustion, and loss of attention, which are symptoms of mental fatigue. In this paper, we introduce a self-paced training that terminates the calibration process within a few minutes. In this training paradigm, users perform MI tasks continuously without an inter-stimulus-interval (ISI). Also, we propose a data selection method to extract the most prominent features from the short calibration data by assuming the data distribution probabilistically and using the prior knowledge of event-related desynchronization (ERD) patterns. The results from 19 subjects indicate that the proposed method gained a comparable classification performance to the conventional method but with a much shorter calibration period (12 min/73.8%, 30 min/76.1%, respectively). In this regard, the proposed method could be of great benefit for real-world BCI applications by providing a quicker calibration process.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2297-2301
Number of pages5
ISBN (Electronic)9781538616451
DOIs
Publication statusPublished - Nov 27 2017
Externally publishedYes
Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
Duration: Oct 5 2017Oct 8 2017

Publication series

Name2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Volume2017-January

Conference

Conference2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
CountryCanada
CityBanff
Period10/5/1710/8/17

Keywords

  • Brain-computer interface (BCI)
  • Calibration time
  • Electroencephalography (EEG)
  • Motor imagery (MI)
  • Self-paced training

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Control and Optimization

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