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Titlebook: Enhanced Quality of Life and Smart Living; 15th International C Mounir Mokhtari,Bessam Abdulrazak,Hamdi Aloulou Conference proceedings 2017

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书目名称Enhanced Quality of Life and Smart Living
副标题15th International C
编辑Mounir Mokhtari,Bessam Abdulrazak,Hamdi Aloulou
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Enhanced Quality of Life and Smart Living; 15th International C Mounir Mokhtari,Bessam Abdulrazak,Hamdi Aloulou Conference proceedings 2017
描述This book constitutes the proceedings of the 15th International Conference on Smart Homes and Health Telematics, ICOST 2017, held in Paris, France, in August 2017. .The 18 regular papers, 5 short papers together with 2 invited talks  included in this volume were carefully reviewed and selected from numerous submissions..The conference features a dynamic program incorporating a range of design, development, deployment and evaluation of .Smart Urban Environments, Assistive Technologies, Chronic Disease Management, Coaching and Health Telematics. systems..
出版日期Conference proceedings 2017
关键词Human-Computer Interaction; user interfaces; ubiquitous computing; artificial intelligence; intelligent
版次1
doihttps://doi.org/10.1007/978-3-319-66188-9
isbn_softcover978-3-319-66187-2
isbn_ebook978-3-319-66188-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Intent-Context Fusioning in Healthcare Dialogue-Based Systems Using JDL Model relationship in identifying optimized knowledge source for accurate dialogue expansion and its coherence. CADM functionality is discussed using support of Intelligent Medical Assistant in healthcare domain, which has the speech-based capability to communicate with users.
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Visual Confusion Recognition in Movement Patterns from Walking Path and Motion Energycross-validating over different subjects and . when testing on a new set of samples. To our knowledge, we are the first to investigate confusion recognition using visual information. Our work shows that the mental confusion can be effectively recognized based on the movement pattern.
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