Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …

Recent advancements in wireless communication technologies have made Wi-Fi signals
indispensable in both personal and professional settings. The utilization of these signals for …

Human activity recognition (HAR) has received the significant attention in the field of security
and surveillance due to its high potential for real-time monitoring, identifying the abnormal …

Fall detection (FD) system tends to monitor the fall events with restricted movement patterns
and provides alerts to detect actions and corresponds to human falls. Based on high-level …

In existing works, accurately analyzing human activities is a complicated problem in public
places. Consequently, the detection of human activities becomes challenging the computer …

Detecting abnormal activity in crowded areas poses a significant challenge due to the
intricate nature of crowd dynamics and the difficulty in defining what constitutes normal …

Human action recognition has emerged as a pivotal area of contemporary research, due to
its immense potential across various fields. Yet, traditional machine learning methods …

Detecting abnormal activities is a crucial research topic nowadays because of its wide
variety of applications in such as security monitoring, video surveillance and healthcare …

The human action recognition is the subject to predicting what an individual is performing
based on a trace of their development exploiting a several strategies. Perceiving human …

Recognising human activity in video is a highly challenging and complex task because a
video contains lots of information along with complex variations. Yoga-asana recognition is …