Challenges and Trends in Multimodal Fall Detection for Healthcare - Couverture souple

9783030387501: Challenges and Trends in Multimodal Fall Detection for Healthcare

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ISBN 10 : 303038750X ISBN 13 : 9783030387501

Editeur : Springer, 2021

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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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�diteur: Springer
Date d'�dition: 2021
Langue: anglais
ISBN 10: 303038750X
ISBN 13: 9783030387501
Reliure: Broch�
Nombre de pages: 276
�diteur: Ponce Hiram, Mart�nez-Villase�or Lourdes, Brieva Jorge, Moya-Albor Ernesto
Coordonn�es du fabricant: non disponible
Personne responsable: CMN Printpool Inh. Mathis Neumann
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9783030387471: Challenges and Trends in Multimodal Fall Detection for Healthcare

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ISBN 10 : 303038747X ISBN 13 : 9783030387471
Editeur : Springer Nature Switzerland AG, 2020
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Challenges and Trends in Multimodal Fall Detection for Healthcare

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ISBN 10 : 303038750X ISBN 13 : 9783030387501

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Kartoniert / Broschiert. Etat : 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&nbspProvides novel implementations of sensor technologies, artificial intelligence, machine le. N� de r�f. du vendeur 448681014

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

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ISBN 10 : 303038750X ISBN 13 : 9783030387501

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Challenges and Trends in Multimodal Fall Detection for Healthcare

Hiram Ponce

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ISBN 10 : 303038750X ISBN 13 : 9783030387501

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783030387501

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Challenges and Trends in Multimodal Fall Detection for Healthcare

Hiram Ponce

Edit� par Springer International Publishing Jan 2021, 2021

ISBN 10 : 303038750X ISBN 13 : 9783030387501

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783030387501

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Challenges and Trends in Multimodal Fall Detection for Healthcare

Hiram Ponce

Edit� par Springer International Publishing, Springer International Publishing Jan 2021, 2021

ISBN 10 : 303038750X ISBN 13 : 9783030387501

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783030387501

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