NDLI: Third Workshop on Affective Brain-Computer Interfaces (ABCI 2013): Introduction

Content Provider	IEEE Xplore Digital Library
Author	Muhl, Christian Chanel, Guillaume Allison, Brendan Nijholt, Anton
Copyright Year	2013
Abstract	Following the first and second workshop on affective brain-computer interfaces, held in conjunction with ACII in Amsterdam (2009) and Memphis (2011), the third workshop explores the advantages and limitations of using neurophysiological signals for the automatic recognition of affective and cognitive states, and the different ways to use this information about the user in applications within the health, arts, and entertainment domains. The goal is to bring researchers, artists, and practitioners together to present state-of-the-art progress, discuss pitfalls and limitations and share and create visions, and thereby encourage the development of guidelines and frameworks for affective BCI. The contributions feature a large range of interesting topics. The most works explore the classification of affective states via different neurophysiological measurements, such as Electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance imaging (fMRI). Other works study the inclusion of additional physiological signals, such as muscular activity, electro dermal measurements, or heart rate, for the detection of emotions. In this context techniques for the identification of different electrophysiological signal sources, multimodal data fusion methods, and non-linear feature extraction approaches are discussed. Other contributions treat methodological problems, like the generalization of a (workload) classifier from the specific context in which it was trained to a more complex task and the search for suited evaluation criteria for affect classifiers. An unusual but valuable perspective is taken by works that look at the influence of affect on active BCI performance: Is the emotional state of BCI users a critical factor for their capability to control thought based interaction and if so, what can we do to put them in the optimal state? Finally, theoretical contributions elucidate the value of BCI for the arts and for industry.
Starting Page	821
Ending Page	821
File Size	97463
Page Count	1
File Format	PDF
ISBN	9780769550480
ISSN	21568111
DOI	10.1109/ACII.2013.153
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-02
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brain-computer interfaces Emotion Affect Neurophysiology
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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