Open AccessA Review of Emotion Recognition Based on EEG using DEAP Dataset
Author(s) -
Rama Chaudhary,
Ram Avtar Jaswal
Publication year - 2021
Publication title -
international journal of scientific research in science, engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-1990
pISSN - 2394-4099
DOI - 10.32628/ijsrset218352
Subject(s) - electroencephalography , anger , facial expression , computer science , emotion recognition , artificial intelligence , pattern recognition (psychology) , emotional expression , speech recognition , affective computing , emotion classification , expression (computer science) , psychology , cognitive psychology , neuroscience , social psychology , programming language
In modern time, the human-machine interaction technology has been developed so much for recognizing human emotional states depending on physiological signals. The emotional states of human can be recognized by using facial expressions, but sometimes it doesn’t give accurate results. For example, if we detect the accuracy of facial expression of sad person, then it will not give fully satisfied result because sad expression also include frustration, irritation, anger, etc. therefore, it will not be possible to determine the particular expression. Therefore, emotion recognition using Electroencephalogram (EEG), Electrocardiogram (ECG) has gained so much attraction because these are based on brain and heart signals respectively. So, after analyzing all the factors, it is decided to recognize emotional states based on EEG using DEAP Dataset. So that, the better accuracy can be achieved.