Personalized and portable monitoring of biometric parameters in realtime
Data stream sensor network
The goal of the project is to detect and analyze a person’s emotion using a sensor network. The detected emotion will be recognized in real-time and it will be rated according to a personalized metric. In order to provide feedback, a recommendation will be formulated and transferred to the user, respecting a user’s preferences and typical habits. Biometric and behavioral data are provided in parallel contiguous streams of data. The approach will investigate the level of intrusive measurements (if any) necessary, the amount of parallel data streams required and the possibility to base a detection, analysis and recommendation purely on non-intrusive sensors.