  As the world population gets older, the healthcare system must be adapted,
among others by providing continuous health monitoring at home and in the city.
The social activities have a significant role in everyone health status. Hence,
this paper proposes a system to perform a data fusion of signals sampled on
several subjects during social activities. This study implies the time
synchronization of data coming from several sensors whether these are embedded
on people or integrated in the environment. The data fusion is applied to
several experiments including physical, cognitive and rest activities, with
social aspects. The simultaneous and continuous analysis of four subjects
cardiac activity and GPS coordinates provides a new way to distinguish
different collaborative activities comparing the measurements between the
subjects and along time.
