Towards a Task Supporting System with CBR Approach in Smart Home

Authors:
Hongbo Ni;Xingshe Zhou;Daqing Zhang;Kejian Miao;Yaqi Fu
Affiliations:
School of Computer Science, Northwestern Polytechnic University, China;School of Computer Science, Northwestern Polytechnic University, China;Handicom Lab, Institut Telecom SudParis, France;School of Computer Science, Northwestern Polytechnic University, China;School of Computer Science, Northwestern Polytechnic University, China
Venue:
ICOST '09 Proceedings of the 7th International Conference on Smart Homes and Health Telematics: Ambient Assistive Health and Wellness Management in the Heart of the City
Year:
2009

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Abstract

Smart Home is a hot research area that has gained a lot of attention in recent years. Smart home applications should focus on the inhabitant's goal or task in diverse situations, rather than the various complex devices and services. One of the important issues for Smart Home design is to perceive the environment and assess occurring situations, thus allowing systems to behave intelligently. This paper proposes a context-dependent task approach to manage the pervasive services, the case based reasoning (CBR) method has been adopted and implemented to recognize tasks, enabling task-oriented system design in smart home environments.