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2405.17817
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Benchmarking Skeleton-based Motion Encoder Models for Clinical Applications: Estimating Parkinson's Disease Severity in Walking Sequences
28 May 2024
Vida Adeli
Soroush Mehraban
Irene Ballester
Yasamin Zarghami
Andrea Sabo
Andrea Iaboni
Babak Taati
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Papers citing
"Benchmarking Skeleton-based Motion Encoder Models for Clinical Applications: Estimating Parkinson's Disease Severity in Walking Sequences"
4 / 4 papers shown
Title
GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model -- Bringing Motion Generation to the Clinical Domain
Vida Adeli
Soroush Mehraban
Majid Mirmehdi
Alan Whone
Benjamin Filtjens
Amirhossein Dadashzadeh
A. Fasano
Andrea Iaboni Babak Taati
46
0
0
28 Mar 2025
AGIR: Assessing 3D Gait Impairment with Reasoning based on LLMs
Diwei Wang
Cédric Bobenrieth
Hyewon Seo
LRM
42
0
0
23 Mar 2025
SkelMamba: A State Space Model for Efficient Skeleton Action Recognition of Neurological Disorders
N. Martinel
Mariano Serrao
C. Micheloni
71
1
0
29 Nov 2024
REST-HANDS: Rehabilitation with Egocentric Vision Using Smartglasses for Treatment of Hands after Surviving Stroke
Wiktor Mucha
Kentaro Tanaka
M. Kampel
42
0
0
30 Sep 2024
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