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DeepKøver: An Adaptive Intelligent Assistance System for Monitoring Impaired People in Smart Homes

DeepKøver: An Adaptive Intelligent Assistance System for Monitoring Impaired People in Smart Homes
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Author(s): Mehdi Najjar (University of Moncton, Canada & University of Sherbrooke, Canada), François Courtemanche (University of Montreal, Canada), Habib Hamam (University of Moncton, Canada), Alexandre Dion (University of Sherbrooke, Canada), Jérémy Bauchet (TELECOM-SudParis, France)and André Mayers (University of Sherbrooke, Canada)
Copyright: 2014
Pages: 28
Source title: Assistive Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-4422-9.ch031

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Abstract

The chapter presents a novel modular adaptive artful intelligent assistance system for cognitively and/or memory impaired people engaged in the realisation of their activities of daily living (ADLs). The goal of this assistance system is to help disabled persons moving/evolving within a controlled environment in order to provide logistic support in achieving their ADLs. Empirical results of practical tests are presented and interpreted. Some deductions about the key features that represent originalities of the assistance system are drawn and future works are announced.

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