Contactless Human Emotion Analysis Across Different Modalities

Book chapter


Nahid, N., Rahman, A. and Ahad, M. 2021. Contactless Human Emotion Analysis Across Different Modalities. in: Ahad, M., Mahbub, U. and Rahman, T. (ed.) Contactless Human Activity Analysis Springer, Cham. pp. 237-269
AuthorsNahid, N., Rahman, A. and Ahad, M.
EditorsAhad, M., Mahbub, U. and Rahman, T.
Abstract

Emotion recognition and analysis is an essential part of affective computing which plays a vital role nowadays in healthcare, security systems, education, etc. Numerous scientific researches have been conducted developing various types of strategies, utilizing methods in different areas to identify human emotions automatically. Different types of emotions are distinguished through the combination of data from facial expressions, speech, and gestures. Also, physiological signals, e.g., EEG (Electroencephalogram), EMG (Electromyogram), EOG (Electrooculogram), blood volume pulse, etc. provide information on emotions. The main idea of this paper is to identify various emotion recognition techniques and denote relevant benchmark data sets and specify algorithms with state-of-the-art results. We have also given a review of multimodal emotion analysis, which deals with various fusion techniques of the available emotion recognition modalities. The results of the existing literature show that emotion recognition works best and gives satisfactory accuracy if it uses multiple modalities in context. At last, a survey of the rest of the problems, challenges, and corresponding openings in this field is given.

Book titleContactless Human Activity Analysis
Page range237-269
Year2021
PublisherSpringer, Cham
Publication dates
Online24 Mar 2021
Publication process dates
Deposited26 Jul 2023
Edition1
SeriesIntelligent Systems Reference Library
ISBN9783030685904
9783030685898
ISSN1868-4394
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-68590-4_9
Web address (URL)https://link.springer.com/book/10.1007/978-3-030-68590-4
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