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...

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Bibliographic Details
Main Authors: Luca Lonini, Yaejin Moon, Kyle Embry, R. James Cotton, Kelly McKenzie, Sophia Jenz, Arun Jayaraman
Format: Article
Language:English
Published: Karger Publishers 2022-01-01
Series:Digital Biomarkers
Subjects:
Online Access:https://www.karger.com/Article/FullText/520732