A Comprehensive Study On Detection Of Emotions Using Human Body Movements: Machine Learning Approach
Identifying emotions from human beings is the most challenging area in artificial intelligence. There are different modules used to identify emotions like speech, face, EEG, Physiological Signals, and body movement. However, emotional recognition from body movement is the need of time. The review focuses on identifying various emotions with the help of the full-body movement model and the parts-based model. The aim of the survey is to identify the recent work done by the researchers with the help of full-body movements and body parts-based models. Recently, little research has been done on the identification of emotions using body movements, but most of the time it has succeeded to some extent. Identifying various human emotions using body movements is a really very challenging task. This research work discovers that the various popular machine learning algorithms like Support Vector Machines, Neural Networks, and convolutional neural networks are majorly used to identify basic emotions. 2023 American Institute of Physics Inc.. All rights reserved.
AIP Conference Proceedings, Vol-2909, No. 1
https://doi.org/10.1063/5.0181808 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179872140&doi=10.1063%2f5.0181808&partnerID=40&md5=c03e741dc3052caec819291f271d0525
Preema P.Y., Christ University, Bangalore, India; Chandra J., Christ University, Bangalore, India