Enhanced Human Skeleton Tracking for Improved Joint Position and Depth Accuracy in Rehabilitation Exercises

Enhanced Human Skeleton Tracking for Improved Joint Position and Depth Accuracy in Rehabilitation Exercises

The objective of this work is to develop a method for tracking human skeletal movements by integrating data from two synchronized video streams. To achieve this, two datasets were created, each consisting of four different rehabilitation exercise videos featuring various individuals in diverse envir...

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Bibliographic Details
Main Authors: Vytautas Abromavičius, Ervinas Gisleris, Kristina Daunoravičienė, Jurgita Žižienė, Artūras Serackis, Rytis Maskeliūnas
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
pose estimation
rehabilitation
deep learning
video stream
Online Access:https://www.mdpi.com/2076-3417/15/2/906
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