Welcome to the InfoSci Platform
Reference Hub1
Music Therapy-Based Emotion Regulation Using Convolutional Neural Network

Music Therapy-Based Emotion Regulation Using Convolutional Neural Network

Ladly Patel
Copyright: © 2022 |Pages: 24
ISBN13: 9781799877769|ISBN10: 1799877760|ISBN13 Softcover: 9781799877776|EISBN13: 9781799877783
DOI: 10.4018/978-1-7998-7776-9.ch003
Cite Chapter Cite Chapter

MLA

Patel, Ladly. "Music Therapy-Based Emotion Regulation Using Convolutional Neural Network." Applications of Machine Learning and Artificial Intelligence in Education, edited by Seda Khadimally, IGI Global, 2022, pp. 73-96. https://doi.org/10.4018/978-1-7998-7776-9.ch003

APA

Patel, L. (2022). Music Therapy-Based Emotion Regulation Using Convolutional Neural Network. In S. Khadimally (Ed.), Applications of Machine Learning and Artificial Intelligence in Education (pp. 73-96). IGI Global. https://doi.org/10.4018/978-1-7998-7776-9.ch003

Chicago

Patel, Ladly. "Music Therapy-Based Emotion Regulation Using Convolutional Neural Network." In Applications of Machine Learning and Artificial Intelligence in Education, edited by Seda Khadimally, 73-96. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-7776-9.ch003

Export Reference

Mendeley
Favorite

Abstract

Humans communicate with each other and express emotions using facial expressions. Facial expression is an important part of expressing emotions. Facial features can be considered as eyes, mouth, and nose. In this chapter, the authors considered these facial features for emotion detection and processed them with convolutional neural network (CNN). There are mainly six basic types of emotions: fear, disgust, anger, sadness, happiness, and surprise. These emotions can be classified into two types: positive emotions and negative emotions. A positive emotion is a feeling where there is no negativity such as happy, neutral. A negative emotion is a feeling of depression, frustration including anger, sadness, fear. This chapter describes a step-by-step method in processing an image in CNN and giving an output. CNN classifies different emotions. Further classification is done for emotion as negative and positive, and when the negative emotion is detected, music is played to change the emotion of a person.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.