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Joint Angle Calculations Using Motion Capture And Deep Learning Pose Estimation While Running, Luke Vankeersbilck, Isaac Hedengren, Mcgyver Clark, Iain Hunter Nov 2022

Joint Angle Calculations Using Motion Capture And Deep Learning Pose Estimation While Running, Luke Vankeersbilck, Isaac Hedengren, Mcgyver Clark, Iain Hunter

International Journal of Exercise Science: Conference Proceedings

Marker based motion capture is currently the most accurate method of measuring human kinematics; however, it is expensive and is often limited to lab environments making it unsuitable for many applications. Two-dimensional methods are available through open source code, but it is unclear which of these methods provides the greatest accuracy. PURPOSE: The purpose of this study is to quantify the accuracy of pose estimation from a monocular electro-optical sensor with deep learning to infer segment end points and pose estimation utilizing two open-source code approaches. METHODS: One subject ran at 6.5 m/s for 15 s while being …


Ai Techniques For Covid-19, Adedoyin Ahmed Hussain, Ouns Bouachir, Fadi Al-Turjman, Moayad Aloqaily Jan 2020

Ai Techniques For Covid-19, Adedoyin Ahmed Hussain, Ouns Bouachir, Fadi Al-Turjman, Moayad Aloqaily

All Works

© 2013 IEEE. Artificial Intelligence (AI) intent is to facilitate human limits. It is getting a standpoint on human administrations, filled by the growing availability of restorative clinical data and quick progression of insightful strategies. Motivated by the need to highlight the need for employing AI in battling the COVID-19 Crisis, this survey summarizes the current state of AI applications in clinical administrations while battling COVID-19. Furthermore, we highlight the application of Big Data while understanding this virus. We also overview various intelligence techniques and methods that can be applied to various types of medical information-based pandemic. We classify the …