Activity Analyzing with Multisensor Data Correlation

In an ambient assisted living project, a novel way to be proposed in order to protect privacy, increase comfort and safety: a system that with different kinds of sensors installed in the living environment and observe the daily activities of the elderly. Based on the daily activities of the user an activity model will be build. In case of unusual activities the system will send alarm signal to caregiver according the build activity model.

The huge amount data from sensors is a computational burden for the system and an obstacle for the system to get character parameters to build activity model. In the paper data correlation is used to deal with the data and detect the relationship between sensors. In predefined time interval the data from sensors is correlated. The huge amount data is translated to a few correlation parameters between sensors. Furthermore the values of correlation parameters between sensors are changing in different time interval. That means different activities of the user are detected by the system.