SAfeDJ

Driving is an integral part of our everyday lives, but it's also a time when people are uniquely vulnerable. Research has proved that not only does listening to suitable music while driving not impair driving performance, but it could lead to an enhanced mood and a more relaxed state, which could improve driving performance and promote safe driving significantly. SAfeDJ is a smartphone-based situation-aware music recommendation system, which turns driving into a safe and enjoyable experience. SAfeDJ aims at helping drivers to diminish fatigue and negative emotion.

Its design is based on novel interactive methods, which enable in-car smartphones to orchestrate multiple sources of sensing data and the drivers’ social context, in collaboration with cloud computing to form a seamless crowdsensing solution. The mood of the songs in a driver's library is identified through a novel mood-mapping process and the current context of a driver is identified through a context-mapping process. The song with the ideal mood for the current driving context is then delivered by SAfeDJ. This solution enables different smartphones to collaboratively recommend preferable music to drivers according to each driver’s specific situations in an automated, precise and intelligent manner.

Experiments on SAfeDJ have proved its effectiveness in music-mood analysis and mood-fatigue detections of drivers with reasonable computation and communication overheads on smartphones. Also, our user studies have demonstrated that SAfeDJ helps to decrease a driver's fatigue degree by 49.09% and negative mood degree by 36.35% compared with traditional smartphone-based music players in similar driving situations.