doi: 10.18178/ijmlc.2019.9.1.759
Facial Emotion Recognition from Videos Using Deep Convolutional Neural Networks
Wisal Hashim Abdulsalam1
, ,
- 1Iraqi Commission for Computers & Informatics, Baghdad, Iraq.
- 2Department of Computer Engineering, University of Technology, Baghdad, Iraq.
Abstract
Its well known that understanding human facial expressions is a key component in understanding emotions and finds broad applications in the field of human-computer interaction (HCI), has been a long-standing issue. In this paper, we shed light on the utilisation of a deep convolutional neural network (DCNN) for facial emotion recognition from videos using the TensorFlow machine-learning library from Google. This work was applied to ten emotions from the Amsterdam Dynamic Facial Expression Set-Bath Intensity Variations (ADFES-BIV) dataset and tested using two datasets.
Keywords
- Facial emotion recognition
- deep convolutional neural network
- TensorFlow
- ADFES-BIV
- WSEFEP
How to Cite
Wisal Hashim Abdulsalam, Rafah Shihab Alhamdani, and Mohammed Najm Abdullah, "Facial Emotion Recognition from Videos Using Deep Convolutional Neural Networks," International Journal of Machine Learning, vol. 9, no. 1, pp. 14-19, 2019. https://doi.org/10.18178/ijmlc.2019.9.1.759
Copyright & License
Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).