Abstract The field of Human Activity Recognition (HAR) has experienced a significant surge
in interest due to its essential role across numerous areas, including human–computer …

Abstract Human Activity Recognition (HAR) has become a crucial area of research, driven
by the advancements in wearable device sensors. HAR finds widespread applications …

Human activities are inherently translation invariant and hierarchical. Human activity
recognition (HAR), a field that has garnered a lot of attention in recent years due to its high …

Human activity recognition (HAR) is an important technology in pervasive computing
because it can be applied to many real-life, human-centric problems such as eldercare and …

Background: In recent years, human activity recognition (HAR) has been an active research
topic due to its widespread application in various fields such as healthcare, sports, patient …

Sensor-based human activity recognition (HAR) has drawn extensive attention from the
research community due to its potential applications in various domains, including …

Human activity recognition (HAR) has become a significant area of research in human
behavior analysis, human–computer interaction, and pervasive computing. Recently, deep …

The use of sensors for human activity recognition (HAR) is one of the most active research
fields. Several machine learning techniques for classifying human actions have been …

Currently, three-dimensional convolutional neural networks (3DCNNs) are a popular
approach in the field of human activity recognition. However, due to the variety of methods …

To understand human behavior and intrinsically anticipate human intentions, research into
human activity recognition HAR) using sensors in wearable and handheld devices has …