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

Human behavior pattern recognition (BPR) from accelerometer signals is a challenging
problem due to variations in signal durations of different behaviors. Analysis of human …

This review aims to present current advancements in wearable technologies and IoT-based
applications to support independent living. The secondary aim was to investigate the …

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 …

During the past decade, smart insole-like devices become more and more popular in daily
applications, such as gait studies, activity recognition, health monitoring and evaluation …

In this paper, we focus on data-driven approaches to human activity recognition (HAR). Data-
driven approaches rely on good quality data during training, however, a shortage of high …

Human activity recognition (HAR) using smartphone sensors have been recently studied in
various applications including healthcare, fitness, and smart home. Their recognition …

With the development of the Internet of Things (IoT), wearable technologies have been
proposed to measure gait parameters in everyday life. However, since both diseases and …

Automated human action recognition is one of the most attractive and practical research
fields in computer vision. In such systems, the human action labelling is based on the …