Background Markerless motion capture has the potential to perform movement analysis with
reduced data collection and processing time compared to marker-based methods. This …

Although there are methods of artificial intelligence (AI) applied to virtual reality (VR)
solutions, there are few studies in the literature. Thus, to fill this gap, we performed a …

Being able to capture relevant information about elite athletes' movement “in the wild” is
challenging, especially because reference marker-based approaches hinder natural …

The adoption of computer vision pose estimation approaches, used to identify keypoint
locations which are intended to reflect the necessary anatomical landmarks relied upon by …

Markerless Human Pose Estimation (HPE) proved its potential to support decision making
and assessment in many fields of application. HPE is often preferred to traditional marker …

Development of human skeleton tracking requires high accuracy with affordable installation
to enlarge their applicability. This paper proposes human skeleton tracking using multiple …

Purpose Para‐alpine sit skiers face unique challenges in balance control due to their
disabilities and the use of sit skis. This study assessed their multi‐joint coordination before …

This study aimed to validate the automated temporal analysis of countermovement vertical
jump (CMJ) using MMPose, a markerless pose estimation framework, by comparing it with …

The use of marker-less methods to automatically obtain kinematics of movement is
expanding but validity to high-velocity tasks such as cycling with the presence of the bicycle …

This paper first presents a systematic literature review of artificial intelligence (AI) methods
used in virtual reality (VR) solutions. Based on the systematic literature review, a …