Music Playlist Recommendation Based on User Heartbeat and Music Preference

• Published in: 2009 International Conference on Computer Technology and Development : 13-15 November 2009 Vol. 1; pp. 545 - 549
• Main Authors: Hao Liu, Jun Hu, Rauterberg, M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2009
• Subjects: Adaptive systems; Biological control systems; Blood pressure; Computer industry; Costs; Heart beat; Heart rate; heartbeat; markov decision process; music playlist recommendation; music preference; Programmable control; Recommender systems; Rhythm
• ISBN: 9780769538921; 0769538924
• DOI: 10.1109/ICCTD.2009.246

In this paper, we present a new user heartbeat and preference aware music recommendation system. The system can not only recommend a music playlist based on the user's music preference but also the music playlist is generated based on the user's heartbeat. If the user's heartbeat is higher than the normal heartbeat which is 60-100 beats per minutes (age 18 and over) or 70-100 beats per minutes (age 6-18), the system generates a user preferred music playlist using Markov decision process to transfer the user's heartbeat back to the normal range with the minimum time cost; if the user's heartbeat is normal, the system generates a user preferred music playlist to keep the user's heartbeat within the normal range; If the user's heartbeat is lower than the normal heartbeat, the system generates a user preferred music playlist using Markov decision process to uplift the user's heartbeat back to the normal range with the minimum time cost.