Background: As older people are intended to live at home for as long as possible, the use of
Smart Home technologies become increasingly important, for example monitoring the …

Many different approaches exist for human activity recognition (HAR) in a private home
setting. A combination of ambient sensors and Hidden Markov Models (HMM) enables HAR …

This paper proposes a scheme for activity recognition in sensor based smart homes using
Dempster-Shafer theory of evidence. In this work, opinion owners and their belief masses …

Recognizing human behavior in an automated manner is essential in many ambient
intelligence applications such as smart homes, health monitoring applications and …

This chapter presents an overview of the critical IoT-based intelligent home technologies. It
begins with the smart home concept, which establishes the review's standpoint. It explains …

The current population age grows increasingly in industrialized societies and calls for more
intelligent tools to monitor human activities. The aims of these intelligent tools are often to …

Human action recognition is a very active field in computer vision. Many important
applications depend on accurate human action recognition, which is based on accurate …

Population aged 60 and over is growing faster. Ageing-caused changes, such as physical or
cognitive decline, could affect people's quality of life, resulting in injuries, mental health or …

Several behavioural problems exist in office environments, including resource use,
sedentary behaviour, cognitive/multitasking, and social media. These behavioural problems …

This paper systematically solves the problem of Mobile App Usage (MAU) prediction by
means of predictability proof, prediction algorithm development, data collection and …