Emotion Detection using Facial expressions with Transfer Learning
DOI:
https://doi.org//10.32628/CSEIT195150Keywords:
Deep learning, TensorFlow, Inception, Transfer Learning, Convolutional neural networks.Abstract
The use of machines to perform different tasks is constantly increasing in society. Providing machines with perception can lead them to perform a great variety of tasks. Machine perception requires that machines understand about their environment. Recognizing facial emotions will thus help in this regard. We use the TensorFlow library and the Inception model and apply transfer-learning for our dataset to retrain the model. We then identify the facial emotions: happiness, sadness, anger, surprise, disgust and neutral.
References
- Raghav Puri, Archit Gupta, Manas Sikri (2018). Emotion Detection using Image Processing in Python. 5th International Conference on “Computing for Sustainable Global Development (IndiaCom)” IEEE conference ID : 42835.
- https://codelabs.developers.google.com/codelabs/tensorflow-for-poets
- Hong-Wei Ng, Viet Dung Nguyen, Vassilios Vonikakis, Stefan Winkler(2015). Deep Learning for Emotion Recognition on Small Datasets Using Transfer Learning.
- Alexandr Rassadin, Alexey Gruzdev, Andrey Savchenko(2017). Group-level Emotion Recognition Using Transfer Learning from Face Identification.
- https://www.tensorflow.org/hub/tutorials/image_retraining
- https://www.tensorflow.org/install/source
- https://docs.docker.com/toolbox
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.