Music changing system based on emotion from facial expression

In today's fast-paced and stressful world, people often struggle to manage their emotions and maintain concentration. The idea of using music as a tool for emotional regulation has been studied for decades, and research has shown that certain types of music can have a significant impact on a pe...

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Main Author: Sow, Eugene Wei Jie
Other Authors: Owen Noel Newton Fernando
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175375
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1753752024-04-26T15:42:47Z Music changing system based on emotion from facial expression Sow, Eugene Wei Jie Owen Noel Newton Fernando School of Computer Science and Engineering OFernando@ntu.edu.sg Computer and Information Science Engineering Emotion Music Facial Expression In today's fast-paced and stressful world, people often struggle to manage their emotions and maintain concentration. The idea of using music as a tool for emotional regulation has been studied for decades, and research has shown that certain types of music can have a significant impact on a person's emotional state. One of the many ways to identify a person’s emotion is by their facial expression. Historically, most studies on facial expression have relied on photos of facial expressions which focus was mainly on emotion recognition, particularly recognition accuracy. The project aims to use the combination of these two: facial recognition, and music, to create a powerful tool that allows an effective music listening experience specially curated for the user in the pursuit of improving focus, emotional well-being, and psychological mindset. Bachelor's degree 2024-04-23T12:19:18Z 2024-04-23T12:19:18Z 2024 Final Year Project (FYP) Sow, E. W. J. (2024). Music changing system based on emotion from facial expression. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175375 https://hdl.handle.net/10356/175375 en PSCSE22-0039 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
Engineering
Emotion
Music
Facial
Expression
spellingShingle Computer and Information Science
Engineering
Emotion
Music
Facial
Expression
Sow, Eugene Wei Jie
Music changing system based on emotion from facial expression
description In today's fast-paced and stressful world, people often struggle to manage their emotions and maintain concentration. The idea of using music as a tool for emotional regulation has been studied for decades, and research has shown that certain types of music can have a significant impact on a person's emotional state. One of the many ways to identify a person’s emotion is by their facial expression. Historically, most studies on facial expression have relied on photos of facial expressions which focus was mainly on emotion recognition, particularly recognition accuracy. The project aims to use the combination of these two: facial recognition, and music, to create a powerful tool that allows an effective music listening experience specially curated for the user in the pursuit of improving focus, emotional well-being, and psychological mindset.
author2 Owen Noel Newton Fernando
author_facet Owen Noel Newton Fernando
Sow, Eugene Wei Jie
format Final Year Project
author Sow, Eugene Wei Jie
author_sort Sow, Eugene Wei Jie
title Music changing system based on emotion from facial expression
title_short Music changing system based on emotion from facial expression
title_full Music changing system based on emotion from facial expression
title_fullStr Music changing system based on emotion from facial expression
title_full_unstemmed Music changing system based on emotion from facial expression
title_sort music changing system based on emotion from facial expression
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175375
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