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Open Access

Music Intervention in Human Life, Work, and Disease: A Survey

Jia Gu1,2, Youyang Du1,2, Chi Zhang1,2, Yunsen Tang1,2, Huiguo Zhang3, Yonghui Xu1,2( ), Lizhen Cui1,2
Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan 250100, China
School of Software, Shandong University, Jinan 250100, China
Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore 639798, Singapore
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Abstract

Digital music has various characteristics, such as melody, rhythm, timbre, and harmony. According to these characteristics, music can be classified using artificial intelligence (AI). Music can reduce cognitive dissonance and improve memory in humans; however, occasionally, dissonant music can cause negative effects, such as aggravating depression. Therefore, music can be classified using technical methods and used selectively for human mood regulation, sleep improvement, disease relief, and treatment. Herein we present a survey of the fields of music, AI, and health to shed light on the digitization of music. In this survey, we (1) summarize the various characteristic elements of music, such as melody, rhythm, timbre, and harmony; (2) discuss the role of neural networks in classifying music based on these musical characteristics; (3) summarize the positive and negative effects of music with respect to five areas: sleep, memory, attention, mood, and movement; (4) summarize the therapeutic effect of music intervention with respect to various illnesses; and (5) present the future of music therapy as well as provide a few suggestions with respect to music therapy.

Keywords

music interventionmusic classificationmusical characteristics

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International Journal of Crowd Science
Volume 7 Issue 3,
September 2023
Pages 97-105
DOI: 10.26599/IJCS.2023.9100003
Cite this article:
Gu J, Du Y, Zhang C, et al. Music Intervention in Human Life, Work, and Disease: A Survey. International Journal of Crowd Science, 2023, 7(3): 97-105. https://doi.org/10.26599/IJCS.2023.9100003

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Received: 01 January 2023
Revised: 16 March 2023
Accepted: 21 March 2023
Published: 30 September 2023
© The author(s) 2023.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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