IoT Sensor-Based Activity Recognition

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160,49 

Human Activity Recognition, Intelligent Systems Reference Library 173

ISBN: 3030513785
ISBN 13: 9783030513788
Autor: Ahad, Md Atiqur Rahman/Antar, Anindya Das/Ahmed, Masud
Verlag: Springer Verlag GmbH
Umfang: xxxiv, 189 S., 11 s/w Illustr., 52 farbige Illustr., 189 p. 63 illus., 52 illus. in color.
Erscheinungsdatum: 31.07.2020
Auflage: 1/2021
Produktform: Gebunden/Hardback
Einband: Gebunden

This book offer clear descriptions of the basic structure for the recognition and classification of human activities using different types of sensor module and smart devices in e.g. healthcare, education, monitoring the elderly, daily human behavior, and fitness monitoring. In addition, the complexities, challenges, and design issues involved in data collection, processing, and other fundamental stages along with datasets, methods, etc., are discussed in detail. The book offers a valuable resource for readers in the fields of pattern recognition, human-computer interaction, and the Internet of Things.

Artikelnummer: 9313846 Kategorie:

Beschreibung

This book offer clear descriptions of the basic structure for the recognition and classification of human activities using different types of sensor module and smart devices in e.g. healthcare, education, monitoring the elderly, daily human behavior, and fitness monitoring. In addition, the complexities, challenges, and design issues involved in data collection, processing, and other fundamental stages along with datasets, methods, etc., are discussed in detail. The book offers a valuable resource for readers in the fields of pattern recognition, human-computer interaction, and the Internet of Things.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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