In last few years, the number of elderly people is more and more increasing. Consequently, various efforts were made in order to improve the quality of lifestyle for the elderly. Related to this issue, an Ambient Assisted Living (AAL) works to create better living conditions for older or disable people. AAL systems are able to continuously monitor the health status of the elderly through data coming from heterogeneous sensors. In this paper, we propose an AAL architecture for the monitoring of elderly people, able to guarantee the collection of heterogeneous sensor data as well as the detection of critical events such as the older adult fall. A remote reasoning system processes this data with the aim of generating appropriate events. In order to demonstrate the feasibility of the proposed architecture, a proof of concept was used and validation functional tests were carried out.
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