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Challenges and Trends in Multimodal Fall Detection for Healthcare: 273 (Studies in Systems, Decision and Control) - Tapa blanda
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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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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Challenges and Trends in Multimodal Fall Detection for Healthcare
Publicado por
Springer International Publishing, 2021
ISBN 10: 303038750X
ISBN 13: 9783030387501
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers challenging issues and current trends for designing fall detection systems using a multimodal approach Provides novel implementations of sensor technologies, artificial intelligence, machine le. Nº de ref. del artículo: 448681014
Cantidad disponible: Más de 20 disponibles
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Challenges and Trends in Multimodal Fall Detection for Healthcare (Studies in Systems, Decision and Control)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In. Nº de ref. del artículo: ria9783030387501_new
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Challenges and Trends in Multimodal Fall Detection for Healthcare
Publicado por
Springer International Publishing Jan 2021, 2021
ISBN 10: 303038750X
ISBN 13: 9783030387501
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. 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: 9783030387501
Cantidad disponible: 2 disponibles
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Challenges and Trends in Multimodal Fall Detection for Healthcare
Publicado por
Springer International Publishing, 2021
ISBN 10: 303038750X
ISBN 13: 9783030387501
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. 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: 9783030387501
Cantidad disponible: 1 disponibles
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Challenges and Trends in Multimodal Fall Detection for Healthcare (Studies in Systems, Decision and Control)
Librería: California Books, Miami, FL, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: I-9783030387501
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Challenges and Trends in Multimodal Fall Detection for Healthcare
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Springer International Publishing, Springer International Publishing Jan 2021, 2021
ISBN 10: 303038750X
ISBN 13: 9783030387501
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. 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: 9783030387501
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Challenges and Trends in Multimodal Fall Detection for Healthcare (Studies in Systems, Decision and Control)
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: 26384601135
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Challenges and Trends in Multimodal Fall Detection for Healthcare (Studies in Systems, Decision and Control)
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
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Condición: New. Print on Demand. Nº de ref. del artículo: 379270128
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Challenges and Trends in Multimodal Fall Detection for Healthcare
Librería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. 276 pages. 9.25x6.10x0.63 inches. In Stock. Nº de ref. del artículo: x-303038750X
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Challenges and Trends in Multimodal Fall Detection for Healthcare (Studies in Systems, Decision and Control)
Impresión bajo demandaLibrería: Biblios, Frankfurt am main, HESSE, Alemania
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Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18384601125
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