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Analytical Review and Study on Emotion Recognition Strategies Using Multimodal Signals

2022; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-031-23092-9_21

1865-0937

Jay Vala, Udesang K. Jaliya,

Sentiment Analysis and Opinion Mining

Emotion is very important in the field of decision-making, human recognition, and the social intercourse. Multimodal emotion recognition is the promising research area of computing as well as sentiment analysis. Here, the information is carried out by the signals with various natures for making the emotion recognition systems accurately. Nowadays, the several robust emotion recognitions were developed for handling various languages and cultures. Hence, this has been complex because of potential applicability of the emotion recognizers over wide range of various scenarios. This work present survey of 50 papers based on emotion recognition strategies. In addition, thorough investigation is done based on the year of publication, adapted methodology, implementation tool, employed datasets, evaluation metrics, and values of evaluation metrics. On the other hand, the analysis of the methods with respect to the merits and demerits of the methods are presented. Finally, the issues of existing methods considering conventional emotion recognition strategies are elaborated to obtain improved contribution in devising significant emotion recognition strategy. Moreover, the probable future research directions in attaining efficient emotion recognition are elaborated.