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Real-Time Emotion Recognition from Facial Expressions using Artificial Intelligence by Prashant Dhope; Mahesh B. Neelagar is a scholarly article available to read on EtoBox.

What is Real-Time Emotion Recognition from Facial Expressions using Artificial Intelligence about?

Emotion is the most important factor that distinguishes humans from robots. Machines are becoming more aware of human emotions as artificial intelligence advances. The objective of proposed method is to use artificial intelligence to build and construct a real-time facial emotion identification system. The proposed methodology has the capability of recognizing all the seven fundamental human face emotions. Those are angry, disgust, fear, happy, neutral, sad, and surprise. A self-prepared dataset is utilized to train the algorithm. The model is trained and facial expressions are recognized using a convolutional neural network. The real-time testing is accomplished using the Raspberry Pi 3B+ board and Pi-Camera. Using PyQt5, graphical user interface (GUI) is created for the system. The experimental result shows that, the proposed methodology has high recognition accuracy rate up to 99.88%.

Author

Prashant Dhope; Mahesh B. Neelagar

Publisher

IEEE

Published

2022

Language

EN