The RESIMA project aims to develop a methodology based on the use of multi-sensory architecture and computational intelligent paradigms to improve the indoor use of by the elderly and vulnerable people.
The system employs a network architecture in which multisensory nodes are responsible for monitoring the location of users within the environment and the state of the environment. In this way it is possible to estimate the interaction between user and environment and provide to the blind person the necessary information for a secure and efficient use of the environment.
A wireless network architecture (such as for ex. ZIGBEE) is used, since it can meet the needs of a system that is easy to install and maintain, it can be easily reconfigured based on the evolution of the installation site. The nodes of the network are equipped with sensors for measuring the distance of the user from the single node and with sensors for the perception of the environment (fire sensors or smoke and gas detectors).
The information on users’ position, any anomalous events against them, the state of the environment and the static structure of the environment are processed by the decision-making system to reconstruct the user-environment interaction in real time and with spatial continuity and therefore to take action to support and / or protect vulnerable people.
In this context, HT develops the server connected to the network architecture that processes the data, the processing functions transformed in web language, and the user monitoring interface, with the map, the movements in real time and the function of sending alarm signals in case of danger (falls, collision with the elements of the room).