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IoT Sensor-Based Activity Recognition - Human Activity Recognition (Hardcover, 1st ed. 2021) Loot Price: R4,320

Discovery Miles 43 200

Repayment Terms: R405 pm x 12*

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IoT Sensor-Based Activity Recognition - Human Activity Recognition (Hardcover, 1st ed. 2021): MD Atiqur Rahman Ahad, Anindya...

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

MD Atiqur Rahman Ahad, Anindya Das Antar, Masud Ahmed

Series: Intelligent Systems Reference Library, 173

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Loot Price R4,320 Discovery Miles 43 200 | Repayment Terms: R405 pm x 12*

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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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 173
Release date:	July 2020
First published:	2021
Authors:	MD Atiqur Rahman Ahad • Anindya Das Antar • Masud Ahmed
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	189
Edition:	1st ed. 2021
ISBN-13:	978-3-03-051378-8
Categories:	Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	3-03-051378-5
Barcode:	9783030513788