Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1908
Title: Affect recognition using brain signals: A survey
Authors: Arya R
Kumar A
Bhushan M.
Keywords: Affective computing
EEG
Emotions
Physiological signals
Recognition
Issue Date: 2021
Publisher: Advances in Intelligent Systems and Computing
Abstract: Emotions, known as affects, play a vital role in daily life of human beings and its recognition based on physiological signals has been receiving close interest from the various researchers. Among these signals, Electroencephalography (EEG) which captures the brain signals has got constant attention for emotion identification. It is the most convenient, portable and easy solution which has been applied in various applications like safe driving, health care, social security and neuro-science. This paper presents a survey of the EEG-based neurophysiological research from 2012 to 2018, providing details of the work done in emotion recognition. The main phases of emotion recognition process include stimulus selection, signal(s) recording of subjects, features selection, extraction and classification to categorize emotions. This survey concludes the current state of the art and some future challenges which will be valuable for the research society, in particular, for those who are choosing affect recognition as their research interest.
URI: 10.1007/978-981-15-7907-3_40
http://hdl.handle.net/123456789/1908
Appears in Collections:Conferences

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.