Detecting and recognizing human emotion is a big challenge in computer vision and artificial intelligence. Emotions are a big part of human communication. Most of the communication takes place through emotion. The main aim of our project is to develop a robust system which can detect as well as recognize human emotion from the live feed and also detect emotion from speech using NLP. There are some emotions which are universal to all human beings like anger, sadness, happiness, surprise, fear, disgust and neutrality. We have split the work into two modules. The first module is purely based on Video where the model classified different emotions of faces in a live feed. The second module analyses a text and detects the emotion in the text.
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Automated Human Emotion Recognition and Analysis using Machine Learning
Semantic Scholar · Computer Science · 2021
Abstract
Detecting and recognizing human emotion is a big challenge in computer vision and artificial intelligence. Emotions are a big part of human communication. Most of the communication takes place through emotion. The main aim of our project is to develop a robust system which can detect as well as recognize human emotion from the live feed and also detect emotion from speech using NLP. There are some emotions which are universal to all human beings like anger, sadness, happiness, surprise, fear, disgust and neutrality. We have split the work into two modules. The first module is purely based on Video where the model classified different emotions of faces in a live feed. The second module analyses a text and detects the emotion in the text.