Classifying Songs to Relieve Stress Using Machine Learning Algorithms
Published 2019 · Khongorzul Munkhbat, K. Ryu
Advances in Intelligent Information Hiding and Multimedia Signal Processing
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Abstract
Music has a great impact on stress relieving for human. We have become very stressed by society and the times. Accumulated stress cannot be met daily, and this will have an adverse effect on our health and our mental health, such as obesity, heart attacks, insomnia, and so on. Therefore, this study has been offering an ensemble approach combining algorithms of machine learning such as K-NN, naive Bayes, multilayer perceptron, and random forest for stress relief based on musical genres.
Study Snapshot
Key takeawayThis study uses an ensemble approach combining machine learning algorithms to classify songs based on musical genres, effectively relieving stress and improving mental health.
PopulationOlder adults (50-71 years)
Sample size24
MethodsObservational
OutcomesBody Mass Index projections
ResultsSocial networks mitigate obesity in older groups.
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