Abstract
When people close eyes to relax, an alpha wave in the frequency range of 8–13 Hz appears from brain signals. There were many medical reports proofed that some specific music can resonate with the alpha wave and strengthen the wave. Therefore, this alpha wave music can improve more relaxing for people and are very helpful when they need to take a rest. Due to the alpha wave music is classified manually by experts only, it is not popular in the market currently. In this paper, we will investigate the content-based features of the alpha wave music and use them to analyze the similarity between alpha wave music and existing music genres. The purpose of this research is to find the music which is similar to alpha wave music, such that we can recommend to users for relaxing before the automatic classification scheme for alpha wave music being developed.
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Lo, YL., Chiu, CY., Chang, TW. (2018). Discovering Similar Music for Alpha Wave Music. In: Kim, K., Joukov, N. (eds) Mobile and Wireless Technologies 2017. ICMWT 2017. Lecture Notes in Electrical Engineering, vol 425. Springer, Singapore. https://doi.org/10.1007/978-981-10-5281-1_63
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DOI: https://doi.org/10.1007/978-981-10-5281-1_63
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