IoT Sensor-Based Activity Recognition

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, humancomputer interaction, and the Internet of Things.

Highlights recent research in the field of Human Activity Recognition (HAR) based on sensors Presents a comprehensive study and addresses various aspects of human activity recognition based on wearable, environmental, and smartphone sensors Includes a list of sensing devices, sensors, and applications that can be used for collecting activity data Provides a comprehensive analysis of ca. 80 benchmark datasets, which includes information on sensors, attributes, activity classes, etc., and sums up several types of sensor-based daily activities, medical activities, fitness activities, device usage, fall detection, and hand gesture data

Klappentext

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

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