MuSa: A smart wearable sensor for active assisted living

This paper focuses at features introduced in the wearable sensor MuSA, to support behavioral analysis within the context of the HELICOPTER project, funded in the AAL European joint program. In particular, the wearable device performs two key function: on one hand it is used as a behavioral data source, continuously monitoring the quantity of user physical activity (through the energy expenditure index evaluation), location and posture; on the other hand, MuSA enables fusion of data coming from the environmental sensors, properly attributing actions on a particular sensor to a specific user in a multi-user environment. These function are carried out without the need of external devices (RFID tags etc.), but only relying on sensors embedded on the wearable device and its communication capabilities. Some sample results coming from pilot studies are shown.