Human activity recognition (HAR) consists of identifying and then analyzing a person's
behavior, using a motion capture device. It has been of interest to many authors since the …

Passive sensing techniques based on Wi-Fi signals have emerged as a promising
technology in advanced wireless communication systems due to their widespread …

The Understanding of human behavior and assigning a label to each action is what Human
Action Recognition (HAR) is all about. Its main objective is to accurately characterize human …

Efficiently recognizing Activities of Daily Living (ADLs) requires overcoming challenges in
collecting datasets through innovative approaches. Simultaneously, it involves adapting to …

Human Activity Recognition (HAR) from video data has gained significant attention due to its
wide-ranging applications in fields like security surveillance, healthcare, and human …

This thesis explores deep learning methods for Human Activity Recognition (HAR) from
videos to automate the annotation of human activities in videos. The research is particularly …

Human Activity Recognition (HAR) from sensors has real-world applications such as fall
detection of elderly or improvement in human-robot interactions, but privacy is of concern in …

Human activity recognition (HAR) is an essential system that helps to identify, track and
recognise human activities with the help of learning-based approaches in diverse areas of …

There is a growing reliance on surveillance systems for law enforcement and public safety
purposes. Video surveillance scenarios, such as those seen in train stations, schools, and …

Understanding human activities from videos presents a formidable challenge in Computer
Vision. Intelligent video systems primarily specialize in automatically recognizing human …