In this competitive world, the supervision and monitoring of human resources are primary
and necessary tasks to drive context-aware applications. Advancement in sensor and …

Sensor-based human activity recognition (HAR) has been an active research area, owing to
its applications in smart environments, assisted living, fitness, healthcare, etc. Recently …

The discovery of several machine learning and deep learning techniques has paved the
way to extend the reach of humans in various real-world applications. Classical machine …

Many human-centered intelligent systems require information about the activities being
performed by the user for the systems to function optimally. Human activity recognition …

Human activity recognition (HAR) based on sensor data is a significant problem in pervasive
computing. In recent years, deep learning has become the dominating approach in this field …

Human activity recognition (HAR) remains an essential field of research with increasing real-
world applications ranging from healthcare to industrial environments. As the volume of …

In recent years, various studies have begun to use deep learning models to conduct
research in the field of human activity recognition (HAR). However, there has been a severe …

Abstract Human Activity Recognition (HAR) has become a vibrant research field over the last
decade, especially because of the spread of electronic devices like mobile phones, smart …

Human activity recognition (HAR) plays a central role in ubiquitous computing applications
such as health monitoring. In the real world, it is impractical to perform reliably and …

Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …