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Title: Enhancing the performance of brain-computer interface with haptics
Authors: Choi, KS 
Liang, S
Keywords: Brain computer interface
Motor imagery
Steady state somatosensory evoked potential
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Proceedings - 2017 IEEE International Symposium on Multimedia, ISM 2017, 2017, v. 2017-January, p. 450-452 How to cite?
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.
Description: 19th IEEE International Symposium on Multimedia, ISM 2017, Taichung, Taiwan, 11-13 December 2017
ISBN: 9781538629369
DOI: 10.1109/ISM.2017.89
Appears in Collections:Conference Paper

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