Human activity recognition (HAR) has become an intensive research topic in the past
decade because of the pervasive user scenarios and the overwhelming development of …

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

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) is a very active yet challenging and demanding area of
computer science. Due to the articulated nature of human motion, it is not trivial to detect …

Sensors are devices that quantify the physical aspects of the world around us. This ability is
important to gain knowledge about human activities. Human Activity recognition plays an …

The inherent complexity of human physical activities makes it difficult to accurately recognize
activities with wearable sensors. To this end, this paper proposes a hierarchical activity …

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 …

Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

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 …