
IoT Sensor-Based Activity Recognition
Human Activity Recognition
Springer (Publisher)
Published on 31. July 2020
Book
Hardback
XXXIV, 189 pages
978-3-030-51378-8 (ISBN)
Description
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.
More details
Product info
Book
Series
Edition
1st ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
11
52 farbige Abbildungen, 100 farbige Tabellen, 11 s/w Abbildungen
100 Tables, color; 52 Illustrations, color; 11 Illustrations, black and white; XXXIV, 189 p. 63 illus., 52 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 18 mm
Weight
506 gr
ISBN-13
978-3-030-51378-8 (9783030513788)
DOI
10.1007/978-3-030-51379-5
Schweitzer Classification
Other editions
Additional editions

Md Atiqur Rahman Ahad | Anindya Das Antar | Masud Ahmed
IoT Sensor-Based Activity Recognition
Human Activity Recognition
Book
08/2021
Springer
€160.49
Shipment within 7-9 days

Md Atiqur Rahman Ahad | Anindya Das Antar | Masud Ahmed
IoT Sensor-Based Activity Recognition
Human Activity Recognition
E-Book
07/2020
1st Edition
Springer
€149.79
Available for download
Content
Introduction on Sensor-based Human Activity Analysis: Background.- Basic Structure for Human Activity Recognition Systems: Preprocessing and Segmentation.