The easy ADL home: A physical-virtual approach to domestic living
Journal of Ambient Intelligence and Smart Environments
Egocentric interaction as a tool for designing ambient ecologies-The case of the easy ADL ecology
Pervasive and Mobile Computing
Modeling actions based on a situative space model for recognizing human activities
AIMSA'12 Proceedings of the 15th international conference on Artificial Intelligence: methodology, systems, and applications
Towards user-authored agent dialogues for assessment in personalised ambient assisted living
International Journal of Web Engineering and Technology
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This paper describes our efforts in modeling and tracking a human agent’s situation based on their possibilities to perceive and act upon objects (both physical and virtual) within smart environments. A Situative Space Model is proposed. WLAN signal-strength-based situative space tracking system that positions objects within individual situative spaces (without tracking their absolute positions) distributed across multiple modalities like vision, audio, and touch is presented. As a proof-of-concept, a preliminary evaluation of the tracking system was performed by two subjects within a living-laboratory smart home environment where a global tracking precision of 83.4% and a recall of 88.6% were obtained.