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 …

This chapter focuses on the problem of human activity recognition (HAR), in which inputs in
the form of multichannel time series signals are acquired from a set of body-worn wearable …

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) is a well-studied field with research dating back to the
1980s. Over time, HAR technologies have evolved significantly from manual feature …

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 …

Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …

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

Human activity recognition (HAR) based on sensor networks is an important research
direction in the fields of pervasive computing and body area network. Existing researches …

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) being a dynamic research topic in recent decades due to
its high demand in countless applications, for instance, in healthcare, gaming, security and …