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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Conference object . 2025
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2025
License: CC BY
Data sources: Datacite
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Validation and Reliability of a Video-based, AI-Powered Motion Capture Application for Assessing Motor Performance: A Study Protocol

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 04 Dec 2025Publisher:Zenodo
Authors: Zoeller, Clara Sophia; Barisch-Fritz, Bettina; Stein, Thorsten; Niessner, Claudia;

doi: 10.5281/zenodo.17816362 , 10.5281/zenodo.17816361

Validation and Reliability of a Video-based, AI-Powered Motion Capture Application for Assessing Motor Performance: A Study Protocol

Abstract

This poster presents the study protocol for our project validating a video-based, AI-powered smartphone application designed to assess motor performance skills in children and adolescents. The study aims to evaluate the app’s validity and reliability by comparing the anatomical landmarks identified by its pose-estimation model with those captured by a 3D motion-capture system.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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