RT Journal Article
T1 Towards the recognition of the emotions of people with visual disabilities through brain-computer interfaces
A1 López Hernández, Jesús Leonardo
A1 González Carrasco, Israel
A1 López Cuadrado, José Luis
A1 Ruiz Mezcua, María Belén
AB A brain&-computer interface is an alternative for communication between people and computers, through the acquisition and analysis of brain signals. Research related to this field has focused on serving people with different types of motor, visual or auditory disabilities. On the other hand, affective computing studies and extracts information about the emotional state of a person in certain situations, an important aspect for the interaction between people and the computer. In particular, this manuscript considers people with visual disabilities and their need for personalized systems that prioritize their disability and the degree that affects them. In this article, a review of the state of the techniques is presented, where the importance of the study of the emotions of people with visual disabilities, and the possibility of representing those emotions through a brain&-computer interface and affective computing, are discussed. Finally, the authors propose a framework to study and evaluate the possibility of representing and interpreting the emotions of people with visual disabilities for improving their experience with the use of technology and their integration into today's society.
PB MDPI
SN 1424-8220
YR 2019
FD 2019-06-09
LK https://hdl.handle.net/10016/28546
UL https://hdl.handle.net/10016/28546
LA eng
NO This article belongs to the Section Intelligent Sensors.
NO This work was supported by the Consejo Nacional de Ciencia y Tecnología CONACyT, through the number 709656 and by the Research Program of the Ministry of Economy and Competitiveness—Government of Spain, (DeepEMR project TIN2017-87548-C2-1-R).
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RD 23 may. 2024