From Context to Micro-context – Issues and Challenges in Sensorizing Smart Spaces for Assistive Living
Jit Biswas, Aung Aung Phyo Wai, Andrei V. Tolstikov, Lin Jin Hong Kenneth, Jayachandran Maniyeri, Foo Siang Fook Victor, Alwyn Vwen Yen Lee, Clifton Phua, Jiaqi Zhu, Huynh Thai Hoa, Thibaut Tiberghien, Hamdi Aloulou, Mounir Mokhtari · Procedia Computer Science · 2011
Most smart home based monitoring / assistive systems that attempt to recognize activities within a smart home are targeted towards living-alone elderly, and stop at providing instantaneous coarse grained information such as room-occupancy or provide specific programmed reminders for taking medication etc. In our work, we target multiple residents, while restricting the use of wearable devices / sensors. In addition we do away with video due to privacy concerns. In this paper we present the design challenges and issues in putting together a sensor network for obtaining micro-context information in multi-person smart spaces. In order to support greater levels of ambient intelligence we support fine grained spatio-temporal data and context acquisition. The architecture is being currently developed into a prototype in a modular fashion for deployment and testing in a variety of environments, and is being concurrently evaluated and tested in real conditions, prior to deployment in a facility for elderly residents with mild cognitive disorder.