Video-Based Pose Estimation for Gait Analysis in Stroke Survivors during Clinical Assessments: A Proof-of-Concept Study
Recent advancements in deep learning have produced significant progress in markerless human pose estimation, making it possible to estimate human kinematics from single camera videos without the need for reflective markers and specialized labs equipped with motion capture systems. Such algorithms ha...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Karger Publishers
2022-01-01
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Series: | Digital Biomarkers |
Subjects: | |
Online Access: | https://www.karger.com/Article/FullText/520732 |