Human action recognition systems use data collected from a wide range of sensors to
accurately identify and interpret human actions. One of the most challenging issues for …

Human action recognition in videos is an active area of research in computer vision and
pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for …

It is well known that different frames play different roles in feature learning in video based
human action recognition task. However, most existing deep learning models put the same …

Speech emotion recognition (SER) is an active research field of digital signal processing
and plays a crucial role in numerous applications of Human–computer interaction (HCI) …

In recent days, suspicious action recognition is a significant topic in intelligent video
surveillance and computer vision research. Action recognition methodologies are specially …

Abnormal human behavior must be monitored and controlled in today's technology-driven
era, since it may cause damage to society in the form of assault or web-based violence, such …

Human detection and activity recognition (HDAR) in videos plays an important role in
various real-life applications. Recently, object detection methods have been used to detect …

In the modern era of technology, monitoring and controlling abnormal human activity is
essentially required as these activities may harm society through physical harm to a human …

This article presents two learning processes in order to explain how children at an early age
can transform a complex sensory input to concepts and categories. The first process …

Human activity recognition (HAR) in video streams becomes a thriving research area in
computer vision and pattern recognition. Activity recognition in actual video is quite …