Many researchers devote themselves to studying various aspects of Human Activity
Recognition (HAR), such as data analysis, signal processing, feature extraction, and …

Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …

Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …

Sensor-based motion recognition integrates the emerging area of wearable sensors with
novel machine learning techniques to make sense of low-level sensor data and provide rich …

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 …

Recognizing human activity plays a significant role in the advancements of human-
interaction applications in healthcare, personal fitness, and smart devices. Many papers …

Many human activity recognition (HAR) systems have the ultimate application scenarios in
real-time, while most literature has limited the HAR study to offline models. Some mentioned …

Human activity recognition (HAR) has been of interest in recent years due to the growing
demands in many areas. Applications of HAR include healthcare systems to monitor …

Human activity recognition based on wearable sensor data has been an attractive research
topic due to its application in areas such as healthcare and smart environments. In this …

Human activity recognition (HAR) is a line of research whose goal is to design and develop
automatic techniques for recognizing activities of daily living (ADLs) using signals from …