| Issue |
ITM Web Conf.
Volume 44, 2022
International Conference on Automation, Computing and Communication 2022 (ICACC-2022)
|
|
|---|---|---|
| Article Number | 03055 | |
| Number of page(s) | 8 | |
| Section | Computing | |
| DOI | https://doi.org/10.1051/itmconf/20224403055 | |
| Published online | 05 May 2022 | |
Facial Emotion Classifier using Convolutional Neural Networks for Reaction Review
1 Department of Information Technology, Ramrao Adik Institute of Technology
2 Department of Information Technology, Ramrao Adik Institute of Technology
3 Department of Information Technology, Ramrao Adik Institute of Technology
4 Department of Information Technology, Ramrao Adik Institute of Technology
* Corresponding author: makarandmadhavi99@gmail.com
Applications of facial emotion classification is gaining popularity in the world. There are many ways to train a model to classify human facial expressions by use of existing technologies. The strategy to order and recognize feelings of an individual conveyed by his facial expression is done by contrasting it to a gathered set of labelled experiences of feelings. In this paper, we propose the making of an intelligent system that will recognize and classify facial emotions. A multi-layer Convolutional Neural Network model is proposed. Another method of training using pretrained ResNet50 Model is explored. A basic live video streaming application is developed to showcase the use case of our model which will be capable of monitoring and recording facial emotions in real time from a live video stream and subsequently summarize the overall reactions at the end of the stream.
© The Authors, published by EDP Sciences, 2022
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