[01] Amina El Murabet, Computer Engineering Department, National School of Applied Sciences of Tetouan, Abdelmalek Essaâdi University, Tetouan, Morocco. [02] Anouar Abtoy, Computer Engineering Department, National School of Applied Sciences of Tetouan, Abdelmalek Essaâdi University, Tetouan, Morocco. [03] Abderrahim Tahiri, Computer Engineering Department, National School of Applied Sciences of Tetouan, Abdelmalek Essaâdi University, Tetouan, Morocco.

The AAL (Ambient Assisted Living) is a promising area of research as the field is novel and demand efforts for its evolution. Developing intelligent systems that fall within the scope of responding to the needs of the elderly is becoming demanding in the matter of software design and in model references. AAL systems are sensitive in a matter of time and performance as they deal with special targeted groups of users. The stakeholders in the field need to be embedded in an environment that is capable of sensing their presence and acting according to their needs without the interference of the users. The contribution of this paper falls within the scope of providing a reusable solution for developing patterns in AAL systems based on the extracted context based on the collected data from the different resources of the system. This solution will accelerate the time of response and enhance the quality of the actions triggered by the actuators according to the needs of each user and taking into consideration its profile and preferences.

AAL, Pattern, Context-Extraction, Intelligent Systems

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