Increased global competition has placed a premium on customer satisfaction, and there is a
greater demand for manufacturers to be flexible with their products and services. This …

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 …

Distraction, misjudgement and driving mistakes can significantly affect a driver, resulting in
an increased risk of accidents. There are diverse factors that can cause mistakes in driving …

Classification of human actions is an ongoing research problem in computer vision. This
review is aimed to scope current literature on data fusion and action recognition techniques …

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 …

Human activity recognition is one of the most studied topics in the field of computer vision. In
recent years, with the availability of RGB-D sensors and powerful deep learning techniques …

This work proposes a pattern recognition model for static gestures in Malaysian Sign
Language (MSL) based on Machine Learning (ML) techniques. The proposed model is …

Autonomous vehicles have become a hot spot of the automotive industry, many cities have
claimed that autonomous vehicles should be capable of recognizing gestures used by traffic …

Recent studies have demonstrated the success of using the channel state information (CSI)
from the WiFi signal to analyze human activities in a fixed and well-controlled environment …

3D human pose estimation can be handled by encoding the geometric dependencies
between the body parts and enforcing the kinematic constraints. Recently, Transformer has …