Activity Recognition And Prediction For Smart Iot Environments
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Activity Recognition and Prediction for Smart IoT Environments
This book provides the latest developments in activity recognition and prediction, with particular focus on the Internet of Things. The book covers advanced research and state of the art of activity prediction and its practical application in different IoT related contexts, ranging from industrial to scientific, from business to daily living, from education to government and so on. New algorithms, architectures, and methodologies are proposed, as well as solutions to existing challenges with a focus on security, privacy, and safety. The book is relevant to researchers, academics, professionals and students.
IoT Sensor-Based Activity Recognition
Author: Md Atiqur Rahman Ahad
language: en
Publisher: Springer Nature
Release Date: 2020-07-30
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.
Enhancing Data-Driven Electronics Through IoT
In today's ever-evolving world of electronics engineering and design, professionals face the pressing challenge of effectively integrating the Internet of Things (IoT) technology into electronic devices to enhance their performance and functionality. As the demand for smarter, more connected devices continues to grow, there exists a critical need for comprehensive resources that bridge the gap between theoretical concepts and practical applications of IoT in electronics. Without such guidance, professionals risk falling behind in understanding and harnessing the transformative power of IoT technology. Enhancing Data-Driven Electronics Through IoT emerges as the definitive solution to this pervasive problem. This groundbreaking book offers scholars a roadmap to navigate the complexities of IoT integration in electronic devices, empowering them to unlock new opportunities for innovation and advancement. Through a meticulous exploration of IoT protocols, communication technologies, and data analytics techniques, this book equips scholars with the knowledge and skills needed to excel in the rapidly evolving field of electronics engineering.