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Affective Brain-Computer Interfacing and Methods for Affective State Detection

Daly, Ian (2018) 'Affective Brain-Computer Interfacing and Methods for Affective State Detection.' In: Nam, Chang S and Nijholt, Anton and Lotte, Fabien, (eds.) Brain–Computer Interfaces Handbook Technological and Theoretical Advances. CRC Press. ISBN 9781351231954

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Abstract

Affective brain–computer interfaces (aBCIs) provide a method for individuals to interact with a computer via their emotions and without needing to move. This chapter will provide an introduction to the concept of aBCIs and their uses in applications such as music therapy and affective computing. We will first review the concept of aBCIs before going on to provide a literature review of the current state-of-the-art research in affective state detection methods and their uses in aBCI. Finally, we will describe a case study; an affective brain–computer music interface (aBCMI) and its potential for use in music therapy. Emerging and established trends in aBCI, such as the use of prefrontal asymmetry measures of affective states, are identified. Additionally, a set of recommendations are provided for researchers seeking to work in the field of aBCI.

Item Type: Book Section
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 21 Apr 2021 14:50
Last Modified: 21 Apr 2021 15:15
URI: http://repository.essex.ac.uk/id/eprint/21307

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