IoT Sensor-Based Activity Recognition : Human Activity Recognition / by Md Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed

By:

Ahad, Md Atiqur Rahman [VerfasserIn]

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Intelligent Systems Reference Library ; 173Publisher: Cham : Springer International Publishing, 2021Publisher: Cham : Imprint: Springer, 2021Edition: 1st ed. 2021Description: 1 Online-Ressource(XXXIV, 189 p. 63 illus., 52 illus. in color.)ISBN:

9783030513795

Subject(s):

Additional physical formats: 9783030513788 | 9783030513801 | 9783030513818 | Erscheint auch als: 9783030513788 Druck-Ausgabe | Erscheint auch als: 9783030513801 Druck-Ausgabe | Erscheint auch als: 9783030513818 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-51379-5Online resources:

Summary: 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.PPN: PPN: 1726039617Package identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT

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