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Challenges and Trends in Multimodal Fall Detection for Healthcare: 273 (Studies in Systems, Decision and Control, 273) - Tapa dura

Libro 233 de 378: Studies in Systems, Decision and Control
 
9783030387471: Challenges and Trends in Multimodal Fall Detection for Healthcare: 273 (Studies in Systems, Decision and Control, 273)
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ISBN 10: 303038747X ISBN 13: 9783030387471
Editorial: Springer, 2020

Sinopsis

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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De la contraportada

<div><div>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.</div><div>&nbsp;<br></div><div>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.</div><div>&nbsp;<br></div><div>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.</div></div><div><br><br></div>

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2020
Idioma
Inglés
ISBN 10 
303038747X
ISBN 13 
9783030387471
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
276
Editor
Ponce Hiram, Martínez-Villaseñor Lourdes, Brieva Jorge
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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