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Automated videobased movement assessment

Automated video-based movement assessment using machine learning to support personalized treatment of movement disorders

Smartphone based medical measurements

We developed a a machine learning pipeline to train models to automatically assess dystonia and choreoathetosis of children with dyskinetic cerebral palsy using 2D coordinates of body points extracted from videos.

Participating organisations

Amsterdam University Medical Centers, location VU
Life Sciences
Mov
Netherlands eScience Center

Impact

How machine learning could help Simone to play Ludo

Author(s): Netherlands eScience Center
Published in 2022

Output

A letter to my parents about my experience in a machine learning consultancy project

Author(s): Sven van der Burg
Published in 2022

Team

Contact person

Sven van der Burg

Sven van der Burg

eScience Research Engineer
Mail Sven
AB
Annemieke Buizer
co-Applicant
VU University Medical Center
Florian Huber
Florian Huber
eScience Research Engineer
HH
Helga Haberfehlner
IA
Ignazio Aleo
co-Applicant
Moveshelf b.v.
LB
Laura Bonouvrié
MvdK
Marjolein van der Krogt
SvdV
Shankara van de Ven
co-Applicant
Amsterdam UMC, VU
Sonja Georgievska
Sonja Georgievska
eScience Research Engineer
Sven van der Burg
Sven van der Burg
eScience Research Engineer