IoT Sensor-Based Activity Recognition: Human Activity Recognition (Intelligent Systems Reference Library, 173, Band 173) - Hardcover

Ahad, Md Atiqur Rahman; Antar, Anindya Das; Ahmed, Masud

Hardcover

ISBN 10: 3030513785 ISBN 13: 9783030513788

Verlag: Springer, 2020

Inhaltsangabe

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. 

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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.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2020
• Sprache: Englisch
• ISBN 10: 3030513785
• ISBN 13: 9783030513788
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 223
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland