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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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發(fā)表于 2025-3-21 17:36:50 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Enhanced Quality of Life and Smart Living
副標題15th International C
編輯Mounir Mokhtari,Bessam Abdulrazak,Hamdi Aloulou
視頻videohttp://file.papertrans.cn/312/311257/311257.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面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
關鍵詞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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