Open AccessReal-life Dynamic Facial Expression Recognition: A Review
Author(s) -
Sharmeen M. Saleem,
Subhi R. M. Zeebaree,
Maiwan Bahjat Abdulrazzaq
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1963/1/012010
Subject(s) - facial expression , gesture , psychology , dissociation (chemistry) , facial muscles , cognitive psychology , expression (computer science) , facial electromyography , emotion recognition , neuroscience , communication , computer science , artificial intelligence , chemistry , programming language
In emotion studies, critiques of the use of a static facial expression have been directed to its resulting from poor ecological validity. We conducted a study of studies in the present work, which specifically contrasted recognizing emotions using dynamic facial expressions. Brain imaging experiments and behavioural studies with associated physiological research are also included. The facial motion appears to be connected to our emotional process. The findings of laboratory brain injury experiments also reinforce the concept of a neurological dissociation between static and dynamic expression mechanisms. According to the findings of electromyography studies of dynamic expressions of affective signals, those expressions evoke more extreme facial mimic physiological responses. Studies significantly affirm the essence of dynamic facial gestures.