Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of people because of its ability to learn extensive high-level information about human activity …
Human activity recognition (HAR) systems attempt to automatically identify and analyze human activities using acquired information from various types of sensors. Although several …
Human activity recognition (HAR) based on sensor networks is an important research direction in the fields of pervasive computing and body area network. Existing researches …
AB Mabrouk, E Zagrouba - Expert Systems with Applications, 2018 - Elsevier
With the increasing number of surveillance cameras in both indoor and outdoor locations, there is a grown demand for an intelligent system that detects abnormal events. Although …
Objective assessment of an athlete's performance is of importance in elite sports to facilitate detailed analysis. The implementation of automated detection and recognition of sport …
Anomaly detection in video surveillance is a highly developed subject that is attracting increased attention from the research community. There is great demand for intelligent …
Sensor-based human activity recognition is an essential task for automatic behavior analysis for sports player, senior citizens, and IoT applications. The traditional approaches are based …
AB Sargano, X Wang, P Angelov… - 2017 International joint …, 2017 - ieeexplore.ieee.org
Human action recognition is an imperative research area in the field of computer vision due to its numerous applications. Recently, with the emergence and successful deployment of …
Human action recognition is used in many applications such as video surveillance, human- computer interaction, assistive living, and gaming. Many papers have appeared in the …