Affective brain-computer interfaces: Psychophysiological markers of emotion in healthy persons and in persons with amyotrophic lateral sclerosis

Femke Nijboer, Stefan P. Carmien, Enrique Leon, Fabrice O. Morin, Randal A. Koene, Ulrich Hoffmann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

50 Citations (Scopus)

Abstract

Affective Brain-Computer Interfaces (BCI) are systems that measure signals from the peripheral and central nervous system, extract features related to affective states of the user, and use these features to adapt human-computer interaction (HCI). Affective BCIs provide new perspectives on the applicability of BCIs. Affective BCIs may serve as assessment tools and adaptive systems for HCI for the general population and may prove to be especially interesting for people with severe motor impairment. In this context, affective BCIs will enable simultaneous expression of affect and content, thus providing more quality of life for the patient and the caregiver. In the present paper, we will present psychophysiological markers for affective BCIs, and discuss their usability in the day to day life of patients with amyotrophic lateral sclerosis (ALS).

Original languageEnglish
Title of host publicationProceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
DOIs
Publication statusPublished - 2009
Event2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 - Amsterdam, Netherlands
Duration: 10 Sept 200912 Sept 2009

Publication series

NameProceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

Conference

Conference2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
Country/TerritoryNetherlands
CityAmsterdam
Period10/09/0912/09/09

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