A group of UMBC students working with Professor Zary Segall have built a prototype music player that senses its user’s emotional state and level of activity and picks appropriate music. The prototype system uses BodyMedia’s SenseWear, which detects continuous data from the wearer’s skin and wirelessly transmits the data stream to the xpod prototype. The physiological data includes energy expenditure (calories burned), duration of physical activity, number of steps taken, and sleep/wake states. A neural network system is used to learn associations between these biometric parameters and the user’s preferences for music and the resulting model is then used to dynamically construct the xpod’s playlist. Read more about the xpod prototype in this recent paper:

XPod a human activity and emotion aware mobile music player, Sandor Dornbush, Kevin Fisher, Kyle McKay, Alex Prikhodko and Zary Segall.

Related posts: • Context aware ipod knows what to play;  • OAKLEY - THUMP;  • 411-Song;  

Posted on Saturday, January 28th, 2006 at 10:26 am in categories [Gadgets, Wearable Computing, AI, Machine Learning, Mobile Computing]. Comments feed. Leave a response, or trackback from your own site. edit