A Music Player System for Cycling with Modulating Rider’s Status

• Main Authors: Shu-Hao Hsu, 許書豪
• Other Authors: Ning-Han Liu
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/74525031854239475944

碩士 === 國立屏東科技大學 === 資訊管理系所 === 100 === This thesis is about combining cycling and music and designing a music player system for cycling with modulating rider’s status. This system is based on Fuzzy Inference. We collect and measure the rider’s data during exercise through GPS and EEG and then evaluate the status that might fit with the rider and the corresponding feature values of music. The system uses k-Nearest Neighbor algorithm to search the music with the most similar feature values in the music database, arranges them into the playlist and plays to rider. The music player system designed in this master's thesis can adjust the rider’s brainwave activity when he or she is listening to the music, and then he or she can properly control the riding speed. Therefore, this system has characteristics of safety, encouragement, suitability, and endurance. Through experiments, we proved that this innovative system can really reach our goals.