IoT Sensor-Based Activity Recognition

Human Activity Recognition
1. Auflage 2021
ISBN: 978-3-030-51381-8
Verlag: Springer International Publishing

Buch, Englisch, Band 173, 189 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 347 g

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

Ahmed, Masud

Antar, Anindya Das

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

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