Abstract Human Activity Recognition (HAR) has attracted much attention from researchers in
the recent past. The intensification of research into HAR lies in the motive to understand …

Motion or inertial sensors such as gyroscope and accelerometer commonly found in
smartwatches and smartphones can measure characteristics such as acceleration and …

Human activity recognition (HAR) is one of the important research areas in pervasive
computing. Among HAR, sensor-based activity recognition refers to acquiring a high-level …

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

It is undeniable that mobile devices have become an inseparable part of human's daily
routines due to the persistent growth of high-quality sensor devices, powerful computational …

Smartphones and wearable devices have built-in sensors that can collect multivariant time-
series data that can be used to recognize human activities. Research on human activity …

Abstract Human Activity Recognition (HAR) involves the recognition of human activities
using sensor data. Most of the techniques for HAR involve hand-crafted features and hence …

In the current era of rapid technological innovation, human activity recognition (HAR) has
emerged as a principal research area in the field of multimedia information retrieval. The …

Human activity recognition (HAR) remains a challenging yet crucial problem to address in
computer vision. HAR is primarily intended to be used with other technologies, such as the …

Abstract Human Activity Recognition (HAR) is a crucial research focus in the body area
networks and pervasive computing domains. The goal of HAR is to examine activities from …