A smart space with music selection feature based on face and speech emotion and expression recognition

Authors

• Jose Martin Z. Maningo, De La Salle University, Manila
• Argel A. Bandala, De La Salle University, Manila
• Ryan Rhay P. Vicerra, De La Salle University, Manila
• Elmer Jose P. Dadios, De La Salle University, Manila

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Conference Proceeding

Source Title

2020 IEEE Region 10 Conference (TenCon)

Publication Date

11-2020

Abstract

The technological capabilities of computers in today's time continues to improve in ways that seemed impossible before. It is common knowledge that most people use computers to make everyday lives easier. Therefore, it is vital to bridge the gap between humans and computers to provide more suitable aid to the user. One way to do this is to use emotion recognition as a tool to make the computer understand and analyze how it can help its user on a much deeper level. This paper proposes a way to use both face and speech emotion recognition as a basis for selecting an appropriate music that can improve or relieve one's emotion or stress. To accomplish this, Support Vector Machine with different kernels are used to create the models for validation and testing on both the face and speech emotion recognition. The final integrated system yielded an accuracy rate of 78.5%.

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Recommended Citation

Maningo, J. Z., Bandala, A. A., Vicerra, R. P., & Dadios, E. P. (2020). A smart space with music selection feature based on face and speech emotion and expression recognition. 2020 IEEE Region 10 Conference (TenCon) Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/15192

Keywords

Emotion recognition; Pattern recognition systems; Music—Computer programs

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