A Possibilistic Approach for Activity Recognition in Smart Homes for Cognitive Assistance to Alzheimer’s Patients
Patrice Claude Roy, Sylvain Giroux, Bruno Bouchard, Abdenour Bouzouane, Clifton Phua, Andrei V. Tolstikov, Jit Biswas · Atlantis ambient and pervasive intelligence · 2011
Providing cognitive assistance to Alzheimer’s patients in smart homes is a field of research that receives a lot of attention lately. The recognition of the patient’s behavior when he carries out some activities in a smart home is primordial in order to give adequate assistance at the opportune moment. To address this challenging issue, we present a formal activity recognition framework based on possibility theory and description logics. We present initial results from an implementation of this recognition approach in a smart home laboratory. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.