Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of
sensors have encouraged the development of smart environments, such as smart homes …

In recent years, research on convolutional neural networks (CNN) and recurrent neural
networks (RNN) in deep learning has been actively conducted. In order to provide more …

The main impetus for the global efforts toward the current digital transformation in almost all
areas of our daily lives is due to the great successes of artificial intelligence (AI), and in …

Sensor-based human activity recognition (S-HAR) has become an important and high-
impact topic of research within human-centered computing. In the last decade, successful …

The main driver of the digital transformation currently underway is undoubtedly artificial
intelligence (AI). The potential of AI to benefit humanity and its environment is undeniably …

The recent advancement and development of computer electronic devices has led to the
adoption of smart home sensing systems, stimulating the demand for associated products …

Human activity recognition has become a pillar of today intelligent Human–Computer
Interfaces as it typically provides more comfortable and ubiquitous interaction. This paper …

Recent advances in artificial intelligence and machine learning (ML) led to effective methods
and tools for analyzing the human behavior. Human Activity Recognition (HAR) is one of the …

Abstract Systems of sensor human activity recognition are becoming increasingly popular in
diverse fields such as healthcare and security. Yet, develo** such systems poses inherent …

In the current scenario, it is significant to design active learning paradigms for analyzing
human activities using Wearable Internet of Things (W-IoT) sensors for health parameter …