Challenges and Trends in Multimodal Fall Detection for Healthcare (Studies in Systems, Decision and Control, Band 273) - Softcover

Buch 233 von 378: Studies in Systems, Decision and Control
 
9783030387501: Challenges and Trends in Multimodal Fall Detection for Healthcare (Studies in Systems, Decision and Control, Band 273)
Softcover
ISBN 10: 303038750X ISBN 13: 9783030387501
Verlag: Springer, 2021

Inhaltsangabe

This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion.

It includes theory and coding implementations to help readers quickly grasp the concepts and to highlight the applicability of this technology. For convenience, it is divided into two parts. The first part reviews the state of the art in human fall and activity recognition systems, while the second part describes a public dataset especially curated for multimodal fall detection. It also gathers contributions demonstrating the use of this dataset and showing examples.
 
This book is useful for anyone who is interested in fall detection systems, as well as for those interested in solving challenging, signal recognition, vision and machine learning problems. Potential applications include health care, robotics, sports, human–machine interaction, among others.

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Von der hinteren Coverseite

This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion.
 
It includes theory and coding implementations to help readers quickly grasp the concepts and to highlight the applicability of this technology. For convenience, it is divided into two parts. The first part reviews the state of the art in human fall and activity recognition systems, while the second part describes a public dataset especially curated for multimodal fall detection. It also gathers contributions demonstrating the use of this dataset and showing examples.
 
This book is useful for anyone who is interested in fall detection systems, as well as for those interested in solving challenging, signal recognition, vision and machine learning problems. Potential applications include health care, robotics, sports, human–machine interaction, among others.


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Verlag
Springer
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
303038750X
ISBN 13 
9783030387501
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
276
Herausgeber
Ponce Hiram, Martínez-Villaseñor Lourdes, Brieva Jorge, Moya-Albor Ernesto
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Weitere beliebte Ausgaben desselben Titels

9783030387471: Challenges and Trends in Multimodal Fall Detection for Healthcare (Studies in Systems, Decision and Control, 273, Band 273)

Vorgestellte Ausgabe

ISBN 10:  303038747X ISBN 13:  9783030387471
Verlag: Springer, 2020
Hardcover