• LIMING CHEN School of Computing and Mathematics, University of Ulster Shore Road, Newtownabbey, County Antrim, BT37 0FS, Northern Ireland
  • CHRIS NUGENT School of Computing and Mathematics, University of Ulster Shore Road, Newtownabbey, County Antrim, BT37 0FS, Northern Ireland


Ontologies, situation awareness, assistive agent, smart homes, cognitive as- sistance


Smart Homes (SH) have emerged as a realistically viable solution capable of providing technology-driven assistive living for the elderly and disabled. Nevertheless, it still re- mains a challenge to provide situation-aware cognitive assistance for those in need in their Activity of Daily Living (ADL). This paper introduces a systematic approach to providing situation-aware ADL assistances in a smart home environment. The approach makes use of semantic technologies for sensor data modeling, fusion and management, thus creating machine understandable and processable situational data. It exploits intel- ligent agents for interpreting and reasoning semantic situational (meta)data to enhance situation-aware decision support for cognitive assistance. We analyze the nature and is- sues of SH-based healthcare for cognitively decient inhabitants. We discuss the ways in which semantic technologies enhance situation comprehension. We describe a cognitive agent for realizing high-level cognitive capabilities such as prediction and explanation. We outline the implementation of a prototype assistive system and illustrate the pro- posed approach through simulated and real-time ADL assistance scenarios in the context of situation aware assistive living.



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