SAfeDJ: a crowd-cloud codesign approach to situation-aware music delivery for drivers

摘要

Hu et al. describe a music recommendation system for drivers based on the driver's social condition and fatigue level and the road condition. It uses a smartphone for local calculation and the cloud for heavy recommendation computation. After listening to the music recommended by the system, the fatigue level and the degree of negative moods will be lower compared to the drivers who do not use the system. Thus, the road will hopefully be safer. The system is called SAfeDJ (short for "safe disc jockey").