This paper is in the following e-collection/theme issue:

Cognitive Training for the Elderly (98) Sensors at Home and Domotics (59) Innovations and Technology for Physical Activity Education (756) Dementia and Cognitive Decline (502) Cognitive and Neurorehabilitation (267) Neurorehabilitation and Technology (18)

Published on in Vol 7 (2024)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52582, first published .
Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review

Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review

Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review

Authors of this article:

Julian Jeyasingh-Jacob1, 2 Author Orcid Image ;   Mark Crook-Rumsey2, 3 Author Orcid Image ;   Harshvi Shah1, 2 Author Orcid Image ;   Theresita Joseph1, 2 Author Orcid Image ;   Subati Abulikemu1, 2 Author Orcid Image ;   Sarah Daniels1, 2 Author Orcid Image ;   David J Sharp1, 2 Author Orcid Image ;   Shlomi Haar1, 2 Author Orcid Image
Article Authors Cited by (1) Tweetations (7) Metrics

Journals

  1. Brust A. KI-unterstützte Bewegungsanalyse in der Neurorehabilitation – Fiktion oder baldige Realität?. neuroreha 2024;16(04):167 View