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 motion detection and activity recognition are becoming vital for the applications in
smart homes. Traditional Human Activity Recognition (HAR) mechanisms use special …

Purpose: This study sought to review the characteristics, strengths, weaknesses variants,
applications areas and data types applied on the various Dimension Reduction techniques …

Digital Twin (DT) in Healthcare 4.0 (H4. 0) presents a digital model of the patient with all its
biological properties and characteristics. One of the application areas is patient respiration …

Indoor gesture recognition technology is concerned with making the machine accurately
recognize dynamic gestures within a certain range. Remarkably, most of this technology is …

Effective modeling of the human action using different features is a critical task for human
action recognition; hence, the fusion of features concept has been used in our proposed …

With the development of intelligent surveillance systems, human behavior recognition has
been extensively researched. Most of the previous methods recognized human behavior …

The main work of human motion gesture recognition is to recognize and analyze the
behavior of human objects in the video. Although the current research in the field of human …

A novel method for human action recognition using a deep learning network with features
optimized using particle swarm optimization is proposed. The binary histogram, Harris …

Despite massive research in deep learning, the human activity recognition (HAR) domain
still suffers from key challenges in terms of accurate classification and detection. The core …