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27180 Brain-Computer Interfacing Embedded in Intelligent and Affective Systems
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Nijholt, A. (2016) Brain-Computer Interfacing Embedded in Intelligent and Affective Systems. (Invited) In: Proceedings of the 4th IIAE International Conference on Intelligent Systems and Image Processing (ICISIP 2016), 8-12 Sept 2016, Kyoto, Japan. pp. 1-1. The Institute of Industrial Applications Engineers. ISBN 978-4-907220-10-5

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Official URL: http://dx.doi.org/10.12792/icisip2016.001

Abstract

In this talk we survey recent research views on non-traditional brain-computer interfaces (BCI). That is, interfaces that can process brain activity input, but that are designed for the ‘general population’, rather than for clinical purposes. Control of applications can be made more robust by fusing brain activity information with other information, either explicitly provided by a user (such as commands) or extracted from the user by interpreting his or her behavior (movements, posture, gaze, facial xpression, nonverbal speech) or sensing (neuro-)physiological characteristics (skin conductivity, heart rate, brain activity). Traditional BCI research, guided by clinical applications and focused on patients that have no other means than their brain activity for control and communication have neglected a possible role for BCI in multimodal interaction with intelligent devices. We will emphasize such a role and will also look at some roadmaps for BCI research (2020 and beyond) and how their authors see the development of BCI for intelligent systems.

Item Type:Conference or Workshop Paper (Abstract, Invited/Keynote Talk)
Research Group:EWI-HMI: Human Media Interaction
Research Program:CTIT-General
Research Project:COMMIT/P02: Interaction for Universal Access
Uncontrolled Keywords:Brain-computer interfaces, Intelligent sensors, Multimodal interaction, Affective computing, User monitoring
ID Code:27180
Status:Published
Deposited On:15 March 2017
Refereed:No
International:Yes
More Information:statistics

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