Classification of soothing music using Fuzzy C-Means clustering algorithm

被引：0
|
作者：
Hsu, Ya-Wen [1 ]
Tsai, Hong-Pin [1 ]
Chiu, Ming-Chuan [1 ]
Hwang, Sheue-Ling [1 ]
Shih, Hsiang-Lan [2 ]
Huang, Fang-Ting [2 ]
Lee, Chun-Ting [2 ]
机构：
[1] Natl Tsing Hua Univ, Dept Ind Engn & Engn Management, Hsinchu 30013, Taiwan
[2] Ind Technol Res Inst, Hsinchu, Taiwan
来源：
BRIDGING RESEARCH AND GOOD PRACTICES TOWARDS PATIENT WELFARE: HEALTHCARE SYSTEMS ERGONOMICS AND PATIENT SAFETY 2014 | 2015年
关键词：
EMOTION RECOGNITION;
D O I：
暂无
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
Life of modern people becomes more convenient and rich in material side but worse in mental side due to life stress. This results in bloom of some diseases such as insomnia. Listening to music could be one way to make people feel smooth. Some previous literature had advocated the efficiency of music therapy, however, only a few previous studies discussed and connected subjective indicators (personal cognition) with objective indicators (music features). Therefore, the aim of the study is to investigate what kind of music characteristics can spiritually relax people and obtain the therapeutic music from above results. Firstly, this study collected 25 different styles of music as samples. These songs were classified with Fuzzy C-Means clustering algorithm. According to our experimental result, music with mild amplitude, slow speed, and subjectively positive feeling can enable soothing in mind. The findings would also fit in with physiological signals (Heart Rate Variability) to ensure the consistency in psychology and physiology. This finding can provide suggestions on selection of therapeutic music. In addition, musicians can compose appropriate therapeutic music for patients of different mental illness.
引用
收藏
页码：337 / 345
页数：9
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