Brain Computer Interfaces and Emotional Involvement: Theory, Research, and Applications

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

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