… Recently, emotion recognition has gained attention because of its diverse application … of
emotion recognition techniques of the current decade. The paper includes emotion recognition …

… and textual emotion detection and recognition methods that … all the significant emotion
recognition methods which have … for facial emotion recognition, emotion recognition through …

… in order to accurately identify emotions from EEG signal. Numerous emotion recognition
from EEG are studied in this research. The entire system of emotion identification from EEG is …

… But in some cases devices need to sense people's emotions. Machine learning is a sub-part
of artificial intelligence that produces robots handling tasks like us. Emotion recognition is a …

… Our review aimed to assess the current state and quality of publicly available datasets
used for automated affect and emotion recognition (AAER) with artificial intelligence (AI), and …

… Emotion recognition or affect detection from speech is an old and challenging problem in …
artificial intelligence. Many significant research works have been done on emotion recognition. …

… emotion recognition as this study deals with the general aspects of recognition of facial emotion
… recently with the rapid development of artificial intelligent techniques, including in human…

… recognition is increasingly emerging. This paper is aimed at analyzing and studying the
multimodal emotion recognition algorithm in artificial intelligence … emotion recognition …

… emotion’s value for the advancement of artificial cognitive processing, as well as explore
real-world use cases of emotion-… emotion recognition (SER), revolving around the emotional …

… This paper proposes a two-layer convolution network model for facial emotion recognition.
The model classifies 5 different facial emotions from the image dataset. The model has …