[Eeglablist] Special Issue "Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications"

[claudio lucchiari]

Special Issue "Brain Computer Interfaces and Emotional Involvement: 
Theory, Research, and Applications"

link: 
https://www.mdpi.com/journal/brainsci/special_issues/BCI_Emotional_Involvement

A special issue of Brain Sciences (ISSN 2076-3425). This special issue 
belongs to the section "Theoretical and Computational Neuroscience".

Deadline for manuscript submissions: 24 March 2020.

Special Issue Editor
Dr. Claudio Lucchiari
Guest Editor
Department of Philosophy, University of Milan, Milan, Italy
Interests: cognitive science; neuropsychology; neuro-oncology; brain 
computer interface; EEG; emotions; decision making; decision support 
systems; creativity
Special Issue Information

Dear Colleagues,

Brain–computer interfaces (BCI) are technological systems that enable 
individuals to interact with a computer using their brain activity. A 
BCI system can translate brain signals (e.g., electric or hemodynamic 
brain activity indicators) into a command to execute an action on the 
BCI application (e.g., a wheelchair, the cursor on the screen, a 
spelling device or a game).

Applications are now available in various research and clinical fields, 
such as for communication and control tools for severely disabled users, 
rehabilitation, and human–computer interaction. These tools have the 
advantage of having real-time access to the ongoing brain activity of 
the individual, which can provide insight into the user’s emotional 
state by training a classification algorithm to recognize affect states. 
This information can be utilized to analyze the cortical activity in 
specific areas during complex tasks, as well as to allow the BCI to 
adapt its recognition algorithms. Furthermore, information about 
emotional involvement can be used to improve the user’s experience while 
controlling the BCI through affective modulation.

This Special Issue is dedicated to the study of brain activity related 
to emotional involvement as measured by BCI systems designed for 
different purposes. Papers reporting theoretical models, targeted 
reviews, research, and clinical applications are welcome.

Dr. Claudio Lucchiari
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering 
and logging in to this website. Once you are registered, click here to 
go to the submission form. Manuscripts can be submitted until the 
deadline. All papers will be peer-reviewed. Accepted papers will be 
published continuously in the journal (as soon as accepted) and will be 
listed together on the special issue website. Research articles, review 
articles as well as short communications are invited. For planned 
papers, a title and short abstract (about 100 words) can be sent to the 
Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be 
under consideration for publication elsewhere (except conference 
proceedings papers). All manuscripts are thoroughly refereed through a 
single-blind peer-review process. A guide for authors and other relevant 
information for submission of manuscripts is available on the 
Instructions for Authors page. Brain Sciences is an international 
peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a 
manuscript. The Article Processing Charge (APC) for publication in this 
open access journal is 1400 CHF (Swiss Francs). Submitted papers should 
be well formatted and use good English. Authors may use MDPI's English 
editing service prior to publication or during author revisions.

Keywords

     brain computer interface
     emotional involvement
     brain activity
     human–machine interaction
     emotion detection methods
     artificial intelligence
     rehabilitation
     emotional BCI control
     psychological states

-- 
Claudio Lucchiari, Ph.D
Cognitive Science Research
Department of Philosophy
Interdisciplinary Research & Intervention on Decision research centre (IRIDe)
Università degli studi di Milano