From Context to Micro-context – Issues and Challenges in Sensorizing Smart Spaces for Assistive Living | Zendy

Jit Biswas | Zendy; Aung Aung Phyo Wai | Zendy; Andrei Tolstikov | Zendy; Lin Jin Hong Kenneth | Zendy; M. Jayachandran | Zendy; Foo Siang Fook Victor | Zendy; Alwyn Vwen Yen Lee | Zendy; Clifton Phua | Zendy; Jiaqi Zhu | Zendy; Huynh Thai Hoa | Zendy; Thibaut Tiberghien | Zendy; Hamdi Aloulou | Zendy; Mounir Mokhtari | Zendy

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From Context to Micro-context – Issues and Challenges in Sensorizing Smart Spaces for Assistive Living

Author(s) -

Jit Biswas,

Aung Aung Phyo Wai,

Andrei Tolstikov,

Lin Jin Hong Kenneth,

M. Jayachandran,

Foo Siang Fook Victor,

Alwyn Vwen Yen Lee,

Clifton Phua,

Jiaqi Zhu,

Huynh Thai Hoa,

Thibaut Tiberghien,

Hamdi Aloulou,

Mounir Mokhtari

Publication year - 2011

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2011.07.038

Subject(s) - software deployment , computer science , context (archaeology) , wearable computer , modular design , variety (cybernetics) , human–computer interaction , ambient intelligence , context awareness , home automation , smart environment , assisted living , wearable technology , wireless sensor network , ubiquitous computing , work (physics) , activities of daily living , internet of things , embedded system , artificial intelligence , telecommunications , software engineering , computer network , philosophy , psychiatry , linguistics , phone , engineering , biology , operating system , psychology , paleontology , medicine , mechanical engineering , nursing

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

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