Evaluation of Motor Training Performance in 3D Virtual Environment via Combining Brain-computer Interface and Haptic Feedback

Hong Wu, Shuang Liang, Wenlong Hang, Xiaolu Liu, Qiong Wang, Kup Sze Choi, Jing Qin

Research output: Journal article publicationConference articleAcademic researchpeer-review

8 Citations (Scopus)

Abstract

Brain-computer interfaces (BCIs) based on virtual reality (VR) mostly integrate visual and/or auditory feedback. Haptic feedbackwhich has the potential on improving the feasibility and operability of VR-based BCI systems is rarely explored in previous studies. In this article, we present a novel framework of BCI system based on both visual and haptic feedback, in which users can learn to manipulate the haptic device's stylus for motor training. The effects of motor training with and without haptic feedback are evaluated by detecting and analysing the changes of electroencephalogram (EEG). The preliminary experimental results indicate that haptic feedback may influence the modulation of the beta rhythms over left and right sensorimotor cortex during hand movements. This study can be easily replicated to evaluate the existing systems with haptic feedback and used to develop new applications for motor training.
Original languageEnglish
Pages (from-to)256-261
Number of pages6
JournalProcedia Computer Science
Volume107
DOIs
Publication statusPublished - 1 Jan 2017
Event7th International Congress of Information and Communication Technology, ICICT 2017 - Sanya, China
Duration: 1 Jan 20172 Feb 2017

Keywords

  • brain-computer interface (BCI)
  • Electroencephalogram (EEG)
  • event-related spectral perturbation (ERSP)
  • Haptic feedback
  • virtual reality (VR)

ASJC Scopus subject areas

  • Computer Science(all)

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