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Challenges and Trends in Multimodal Fall Detection for Healthcare: 273 (Studies in Systems, Decision and Control) - Tapa dura
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> <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> <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>
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Challenges and Trends in Multimodal Fall Detection for Healthcare (Studies in Systems, Decision and Control, 273)
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Challenges and Trends in Multimodal Fall Detection for Healthcare
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Springer International Publishing, 2020
ISBN 10: 303038747X
ISBN 13: 9783030387471
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. a|Covers challenging issues and current trends for designing fall detection systems using a multimodal approach Provides novel implementations of sensor technologies, artificial intelligence, machine . Nº de ref. del artículo: 448681013
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Challenges and Trends in Multimodal Fall Detection for Healthcare
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Springer International Publishing Jan 2020, 2020
ISBN 10: 303038747X
ISBN 13: 9783030387471
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 276 pp. Englisch. Nº de ref. del artículo: 9783030387471
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Challenges and Trends in Multimodal Fall Detection for Healthcare
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Springer International Publishing, 2020
ISBN 10: 303038747X
ISBN 13: 9783030387471
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783030387471
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Challenges and Trends in Multimodal Fall Detection for Healthcare (Studies in Systems, Decision and Control, 273)
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Challenges and Trends in Multimodal Fall Detection for Healthcare (Studies in Systems, Decision and Control, 273)
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Challenges and Trends in Multimodal Fall Detection for Healthcare
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ISBN 10: 303038747X
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Buch. Condición: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch. Nº de ref. del artículo: 9783030387471
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Challenges and Trends in Multimodal Fall Detection for Healthcare (Studies in Systems, Decision and Control)
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Challenges and Trends in Multimodal Fall Detection for Healthcare (Studies in Systems, Decision and Control)
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Challenges and Trends in Multimodal Fall Detection for Healthcare
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Hardcover. Condición: Brand New. 276 pages. 9.25x6.10x0.83 inches. In Stock. Nº de ref. del artículo: x-303038747X
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