EEG Based Emotion Recognition Approches and Challenges: a Review
DOI:
https://doi.org/10.61841/pg2yar75Keywords:
Feature extraction, Emotion recognition, Electroencephalography.Abstract
Emotion plays a very important role in day to day life of human beings because of its direct influence on brain that governs desicison making, perception, memory and behavioral aspects. Many researchers have established that, emotion is a complex set of interactions among subjective and objective factors regulated by neural/hormonal systems which activate physiological changes. Since the Electroencephalography (EEG) ensures a stronger reliability in the psychological signals, it receives significant attention for identifying emotions. Therefore providing a comprehensive overview of the existing works in emotion recognition using EEG signals is necessary. This paper provides brief analysis of various classifiers used in emotion recognition process and their challenges in emotion recognition systems.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
