Quantitative gait analysis of idiopathic normal pressure hydrocephalus using deep learning algorithms on monocular videos

Abstract A vision-based gait analysis method using monocular videos was proposed to estimate temporo-spatial gait parameters by leveraging deep learning algorithms. This study aimed to validate vision-based gait analysis using GAITRite as the reference system and analyze relationships between Fronta...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Sungmoon Jeong, Hosang Yu, Jaechan Park, Kyunghun Kang
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
R
Q
Accès en ligne:https://doaj.org/article/19d728098b0b4742bc4b1593a9301f02
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires