Distinguishing pathological gait is challenging in neurology because of the difficulty of
capturing total body movement and its analysis. We aimed to obtain a convenient recording …

This article emphasises the urgent need for appropriate communication tools for
communities of people who are deaf or hard-of-hearing, with a specific emphasis on Arabic …

Violent attacks have been one of the hot issues in recent years. In the presence of closed-
circuit televisions (CCTVs) in smart cities, there is an emerging challenge in apprehending …

Human activity recognition has been widely used to monitor users during physical activities.
By embedding a pre-trained model into wearable devices with an inertial measurement unit …

Machine learning models play a crucial role in sports monitoring by effectively identifying
various activities and tracking the number of repetitions during repetitive movements …

A gait is a walking pattern that can help identify a person. Recently, gait analysis employed a
vision-based pose estimation for further feature extraction. This research aims to identify a …

In recent years, working out in the gym has gotten increasingly more data-focused and many
gym enthusiasts are recording their exercises to have a better overview of their historical …

This research paper demonstrates a virtual fitness trainer, using Google's Mediapipe library,
which was made for various multimodal machine learning and deep learning pipelines. By …

Aiming to address the issues of irregular movements and inconsistent teacher standards in
the teaching process of table tennis swing, the paper proposes a table tennis swing …

This paper proposes a fitness movement evaluation system using deep learning. The
system uses a deep convolutional neural network (CNN) to extract features from pictures of …