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.

• Provides a comprehensive review of the field of activity recognition; 
• Covers an array of topics and applications illustrating the use of activity recognition in IoT related scenarios; 
• Explains how to extract value from application logs and use the data to classify activities and predict actions.