Different types of research have been done on video data using Artificial Intelligence (AI)
deep learning techniques. Most of them are behavior analysis, scene understanding, scene …

Convolutional neural networks (CNNs) have demonstrated exceptional results in the
analysis of time-series data when used for Human Activity Recognition (HAR). The manual …

The Sign Language Recognition system intends to recognize the Sign language used by the
hearing and vocally impaired populace. The interpretation of isolated sign language from …

Bayesian networks are analytical models that may represent probabilistic dependent
connections among variables and are useful in machine learning for generating knowledge …

Significant efforts have been made to monitor human activity, although it remains a
challenging area for computer vision research. This paper has introduced a framework to …

The automatic recognition of when and for how long a person is eating a certain food or
drinking has applications in telecare, smarthome data monetization, and diet control …

Existing deep learning models suffer from out-of-distribution (ood) performance drop in
computer vision tasks. In comparison, humans have a remarkable ability to interpret images …

Featured Application This work is based on automatic human activity recognition, which has
drawn much attention in video analysis technology due to the growing demands from many …

Ambient Assisted Living (AAL) systems are designed to provide unobtrusive and user-
friendly support in daily life and can be used for monitoring frail people based on various …

The ability to be understood and convey feelings, requests or ideas through words (spoken
or written) is one of the most undervalue by all the humans who have the privilege to do it …