Spinning Music Recommendation System Based on Neural Network

• Main Authors: Chen, Chang-Chi, 陳昶吉
• Other Authors: Liu, Ning-Han
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/6fv625

碩士 === 國立屏東科技大學 === 資訊管理系所 === 104 === In recent years, more and more people have gradually paid their attention to health, many people will keep the health condition by doing exercise such as running, swimming, cycling. Spinning is aerobic/anaerobic exercise, which gradually rose in recent years. The sport is different from preceding several sports, it needs professional coaches and music. They lead students in 30-60 minutes for courses. Some spinner companies have sold spinner with teaching videos but someone feel boring about same teaching videos. In the light of this, our study use Mel frequency cepstral analysis courses music, then we use of neural networks to classify of supervised learning. After that, we verify this method is applicable to spinning courses music classification. Finally, the experimental results showed that the total correct classification rate 71.1%. The effect is not very remarkable.