Emotion Recognition using a Multi-view learning method
Main Article Content
Abstract
The increasing use of computing devices and applications in human daily life triggers the need for natural human-computer interaction. Emotion Recognition using multiple features using a semi-serial fusion method is proposed. The study analyses the impact of the feature combinations in the enhancement of the recognition enhancement. The paper presents the use of the multi-view learning principle to a fusion of different features for one emotion expression-based recognition. The results prove that a planned method is operative. The proposed combination method outperforms the use of one type of features and the concatenated way in recognition accuracy, improvement of execution time, and stability.
Article Details
How to Cite
Mukeshimana, M., Ndikumagenge, J., Nkunzimana, biHilaire, Niyongere, A., & Ban, comXiaojuan. (2020). Emotion Recognition using a Multi-view learning method. Zambia ICT Journal, 4(1), 1–5. https://doi.org/10.33260/zictjournal.v4i1.99
Section
Articles
This is an open-access journal which means that all content is freely available without charge to the user or their institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author.
Works published in this journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).