Emotion Recognition using a Multi-view learning method

Main Article Content

Michele Mukeshimana
Jeremie Ndikumagenge
biHilaire Nkunzimana
Abraham Niyongere
comXiaojuan Ban

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
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Articles
Author Biographies

Michele Mukeshimana, University of Burundi

Department of Information and Communication Technology

Jeremie Ndikumagenge, University of Burundi

Department of Information and Communication Technology

biHilaire Nkunzimana, University of Burundi

Department of Information and Communication Technology

Abraham Niyongere, University of Burundi

Department of Information and Communication Technology

comXiaojuan Ban, University of Science and Technology Beijing

Department of Computer Science & Technology, School of Computer and Communication Engineering