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篇名
A Study on Characterization of Alpha Wave Music
作者 Yu-lung Lo (Yu-lung Lo)Yi-Lan Deng (Yi-Lan Deng)
英文摘要
People usually listen music to refresh, relax and help sleep. While humans are in various states of minds, there are different frequencies of brain waves detected. Some music can resonate with human brain waves to achieve the better effect on someone's state of mind. Among brain waves, the alpha wave predominantly appears when people are in wakeful relaxation with closed eyes. There have been several medical reports demonstrated that some specific music, called alpha wave music, can resonate with the alpha wave and strengthen it. Therefore, when people take the rest and listen to the alpha wave music at the same time, it can be very helpful to achieve better relaxing. However, the alpha wave music album is not popular on the market because it only can be classified manually by expertise. Until now, there is still very little research on the automatic identification of alpha wave music. This study analyses the music characterizations and expects to help the categorization of alpha wave music.
起訖頁 65-71
關鍵詞 music classificationalpha wave musicneural networkBPN
刊名 資訊科技國際期刊  
期數 201812 (12:2期)
出版單位 朝陽科技大學資訊學院
該期刊-上一篇 The Realization of Applying Lean-based IoT Platform to Achieve Industrial 4.0 for SME - A Real Case Implementation
 

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