This book summarizes various approaches for theautomatic detection of health threats to older patients at home living alone. Thetext begins by briefly describing those who would most benefit from healthcaresupervision. The book then summarizes possible scenarios for monitoring anolder patient at home, deriving the common functional requirements formonitoring technology. Next, the work identifies the state of the art oftechnological monitoring approaches that are practically applicable to geriatricpatients. A survey is presented on a range of such interdisciplinary fields assmart homes, telemonitoring, ambient intelligence, ambient assisted living,gerontechnology, and aging-in-place technology. The book discusses relevantexperimental studies, highlighting the application of sensor fusion, signalprocessing and machine learning techniques. Finally, the text discusses futurechallenges, offering a number of suggestions for further research directions.
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JurisKlonovs is a PhD student in the Department of Mechanical andManufacturing Engineering at Aalborg University Copenhagen, Denmark.
MohammadA. Haque is a PhD Fellow in the Department of Architecture, Design and MediaTechnology at Aalborg University, Aalborg, Denmark.
Dr. VolkerKrueger is a Professor and Head of the Robotics, Vision and MachineIntelligence group in the Department of Mechanical and ManufacturingEngineering at Aalborg University Copenhagen, Denmark. His other publicationsinclude the Springer title VisualAnalysis of Humans – Looking at People.
Dr. KamalNasrollahi is an Associate Professor in Computer Vision in the Department of Architecture, Design and MediaTechnology at Aalborg University, Aalborg, Denmark.
Dr. KarenAndersen-Ranberg is an Associate Professor in the Danish Aging Research Center at the University ofSouthern Denmark, Odense, Denmark. She is also a Specialist Consultant inGeriatrics and Internal Medicine at Odense University Hospital.
Dr.Thomas B. Moeslund is a Professor in the Department of Architecture, Design and MediaTechnology at Aalborg University, Denmark, where he serves as Headof Media Technology, and Head of the Visual Analysis of People Lab. His otherpublications include the Springer titles ComputerVision in Sports, Introduction toVideo and Image Processing, and VisualAnalysis of Humans – Looking at People.
Dr.Erika G. Spaich is an Associate Professorin the Department of HealthScience and Technology at Aalborg University, Aalborg, Denmark.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book summarizes various approaches for theautomatic detection of health threats to older patients at home living alone. Thetext begins by briefly describing those who would most benefit from healthcaresupervision. The book then summarizes possible scenarios for monitoring anolder patient at home, deriving the common functional requirements formonitoring technology. Next, the work identifies the state of the art oftechnological monitoring approaches that are practically applicable to geriatricpatients. A survey is presented on a range of such interdisciplinary fields assmart homes, telemonitoring, ambient intelligence, ambient assisted living,gerontechnology, and aging-in-place technology. The book discusses relevantexperimental studies, highlighting the application of sensor fusion, signalprocessing and machine learning techniques. Finally, the text discusses futurechallenges, offering a number of suggestions for further research directions. 116 pp. Englisch. Codice articolo 9783319270234
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a comprehensive review of state-of-the-art solutions for the automated monitoring of older adults with comorbidities at home Incudes a special chapter on monitoring technology, discussing the various possible data collection approaches. Codice articolo 91472843
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book summarizes various approaches for theautomatic detection of health threats to older patients at home living alone. Thetext begins by briefly describing those who would most benefit from healthcaresupervision. The book then summarizes possible scenarios for monitoring anolder patient at home, deriving the common functional requirements formonitoring technology. Next, the work identifies the state of the art oftechnological monitoring approaches that are practically applicable to geriatricpatients. A survey is presented on a range of such interdisciplinary fields assmart homes, telemonitoring, ambient intelligence, ambient assisted livinggerontechnology, and aging-in-place technology. The book discusses relevantexperimental studies, highlighting the application of sensor fusion, signalprocessing and machine learning techniques. Finally, the text discusses futurechallenges, offering a number of suggestions for further research directions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 116 pp. Englisch. Codice articolo 9783319270234
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book summarizes various approaches for theautomatic detection of health threats to older patients at home living alone. Thetext begins by briefly describing those who would most benefit from healthcaresupervision. The book then summarizes possible scenarios for monitoring anolder patient at home, deriving the common functional requirements formonitoring technology. Next, the work identifies the state of the art oftechnological monitoring approaches that are practically applicable to geriatricpatients. A survey is presented on a range of such interdisciplinary fields assmart homes, telemonitoring, ambient intelligence, ambient assisted living,gerontechnology, and aging-in-place technology. The book discusses relevantexperimental studies, highlighting the application of sensor fusion, signalprocessing and machine learning techniques. Finally, the text discusses futurechallenges, offering a number of suggestions for further research directions. Codice articolo 9783319270234
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Taschenbuch. Condizione: Neu. Distributed Computing and Monitoring Technologies for Older Patients | Juris Klonovs (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | xii | Englisch | 2016 | Springer | EAN 9783319270234 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 104149281
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