Real-life Dynamic Facial Expression Recognition: A Review

Author:

Saleem Sharmeen M.,Zeebaree Subhi R. M.,Abdulrazzaq Maiwan B.

Abstract

Abstract 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.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference62 articles.

1. Facial Expression Recognition in Videos Using Dynamic Kernels;Perveen;IEEE Transactions on Image Processing,2020

2. Action Unit Analysis Enhanced Facial Expression Recognition by Deep Neural Network Evolution;Zhi,2020

3. Deep facial expression recognition: A survey;Li,2020

4. Facial emotion recognition using deep learning: review and insights;Mellouk;Procedia Computer Science,2020

5. Dynamic Objectives Learning for Facial Expression Recognition;Wen,2020

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