Emotion Recognition Using Artificial Intelligence

This paper focuses on the interplay between humans and computer system, the ability for these systems to understand and respond to human emotions, including non-verbal communication.

Current emotion recognition systems are based solely on either facial or verbal expressions. The limitation of these system is that it requires a large training data-sets.

The paper proposes a system for recognizing human emotions that combines both speech and emotion recognition. The system utilizes advanced techniques such as deep learning and image recognition to identify facial expressions and comprehend emotions.

The results show that the proposed system, based on combination of facial expression and speech outperforms existing ones, which are based solely either on facial or on verbal expressions. The proposed system detects human emotion with an accuracy of 86%, whereas the existing systems have an accuracy of 70% using verbal expression only and 76% using facial expression only.

In this paper the increasing significance and demand for facial recognition technology in emotion recognition is also discussed.