IoT Sensor-Based Activity Recognition - Human Activity Recognition (Hardcover, 1st ed. 2021)

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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.

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Product 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.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Intelligent Systems Reference Library, 173

Release date

July 2020

Availability

Expected to ship within 12 - 17 working days

First published

2021

Authors

, ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

189

Edition

1st ed. 2021

ISBN-13

978-3-03-051378-8

Barcode

9783030513788

Categories

LSN

3-03-051378-5



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