Ahad / Antar / Ahmed IoT Sensor-Based Activity Recognition

Human Activity Recognition
1. Auflage 2020
ISBN: 978-3-030-51379-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 173, 189 Seiten, eBook

Reihe: Intelligent Systems Reference Library

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.

Zielgruppe

Research

Autoren/Hrsg.

Ahad, Md Atiqur Rahman

Antar, Anindya Das

Ahmed, Masud

Inhaltsverzeichnis

Introduction on Sensor-based Human Activity Analysis: Background.- Basic Structure for Human Activity Recognition Systems: Preprocessing and Segmentation.