Music Recommender
![](../applications/music_rec.png)
Details
Older people are often faced with dementia. It has been shown,
that people with this illness still respond to music they like.
Therefore, we developed a music recommender system, which
grounds its decisions in biomedical data. All data transfer
and functionality is implemented on an android device.
In a first step we conducted a study. During this study users
had to listen to music while we measured their physiological
feedback with a wearable device. After this we developed
algorithms that are able to predict the user feedback while
listening to a song. In a parallel process we developed a
recommender system that link songs with each other
(collaborative filtering). In the end we combined all three
research and development processes in a mobile application
that automatically plays songs to the listener that he or she likes.