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.
Table of Contents:
Introduction.- Reviews and Taxonomies.- Relevant Scenarios for Home Monitoring Solutions for Older Adults.- Monitoring Technology.- Datasets.- Discussion.- Conclusion.
About the Author :
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.
