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Title: Enhancing the performance of brain-computer interface with haptics
Authors: Choi, KS 
Liang, S
Issue Date: 2017
Source: Proceedings - 2017 IEEE International Symposium on Multimedia, ISM 2017, 11-13 Dec 2017, p. 450-452
Abstract: Brain-computer interface (BCI) has been used as a communication tool to enable paralyzed people to interact with the world. Its application has been extended to other non-medical areas like self-regulation, marketing, games and entertainment. Conventionally, BCI largely relies on the visual perception channel to provide users with cues or stimuli for the generation of appropriate brain signals that can be identified accurately with classification algorithms. This could lead to visual fatigue and also distract the attention of users from the environment with which they are interacting. This paper explores the haptic perception channel for enhancing BCI performance. Analogous to the paradigms used in vision-based BCI, the corresponding P300 event related potential and steady state evoked potential in the haptics domain are discussed. Besides, the potential of using haptic feedback to improve and guide motor imagery in a way similar to that of visual feedback are also discussed.
Keywords: Brain computer interface
Motor imagery
Steady state somatosensory evoked potential
Publisher: Institute of Electrical and Electronics Engineers Inc.
ISBN: 9781538629369
DOI: 10.1109/ISM.2017.89
Description: 19th IEEE International Symposium on Multimedia, ISM 2017, Taichung, Taiwan, 11-13 December 2017
Rights: “© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication K. Choi and S. Liang, "Enhancing the Performance of Brain-Computer Interface with Haptics," 2017 IEEE International Symposium on Multimedia (ISM), Taichung, Taiwan, 2017, pp. 450-452 is available at
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