Overview
- 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
- Outlines future challenges to inspire new research and new directions for development
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
Keywords
About this book
This book summarizes various approaches for the
automatic detection of health threats to older patients at home living alone. The
text begins by briefly describing those who would most benefit from healthcare
supervision. The book then summarizes possible scenarios for monitoring an
older patient at home, deriving the common functional requirements for
monitoring technology. Next, the work identifies the state of the art of
technological monitoring approaches that are practically applicable to geriatric
patients. A survey is presented on a range of such interdisciplinary fields as
smart homes, telemonitoring, ambient intelligence, ambient assisted living,
gerontechnology, and aging-in-place technology. The book discusses relevant
experimental studies, highlighting the application of sensor fusion, signal
processing and machine learning techniques. Finally, the text discusses future
challenges, offering a number of suggestions for further research directions.
Authors and Affiliations
About the authors
Juris Klonovs is a PhD student in the Department of Mechanical and Manufacturing Engineering at Aalborg University Copenhagen, Denmark.
Mohammad A. Haque is a PhD Fellow in the Department of Architecture, Design and Media Technology at Aalborg University, Aalborg, Denmark.
Dr. Volker Krueger is a Professor and Head of the Robotics, Vision and Machine Intelligence group in the Department of Mechanical and Manufacturing Engineering at Aalborg University Copenhagen, Denmark. His other publications include the Springer title Visual Analysis of Humans – Looking at People.
Dr. Kamal Nasrollahi is an Associate Professor in Computer Vision in the Department of Architecture, Design and Media Technology at Aalborg University, Aalborg, Denmark.
Dr. Karen Andersen-Ranberg is an Associate Professor in the Danish Aging Research Center at the University of Southern Denmark, Odense, Denmark. She is also a Specialist Consultant in Geriatrics and Internal Medicine at Odense University Hospital.
Dr. Thomas B. Moeslund is a Professor in the Department of Architecture, Design and Media Technology at Aalborg University, Denmark, where he serves as Head of Media Technology, and Head of the Visual Analysis of People Lab. His other publications include the Springer titles Computer Vision in Sports, Introduction to Video and Image Processing, and Visual Analysis of Humans – Looking at People.
Dr. Erika G. Spaich is an Associate Professor in the Department of Health Science and Technology at Aalborg University, Aalborg, Denmark.
Bibliographic Information
Book Title: Distributed Computing and Monitoring Technologies for Older Patients
Authors: Juris Klonovs, Mohammad A. Haque, Volker Krueger, Kamal Nasrollahi, Karen Andersen-Ranberg, Thomas B. Moeslund, Erika G. Spaich
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-319-27024-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2016
Softcover ISBN: 978-3-319-27023-4Published: 29 January 2016
eBook ISBN: 978-3-319-27024-1Published: 21 January 2016
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XII, 102
Number of Illustrations: 2 b/w illustrations, 1 illustrations in colour
Topics: Health Informatics, User Interfaces and Human Computer Interaction, Biomedical Engineering and Bioengineering, Emergency Services, Geriatrics/Gerontology