Author

Claudia Ferraris

2 papers indexed here

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Preprint Aug 2026

TransHands: Repurposing Human Pose Encoders as Hand Pose Encoders

Lifting 3D hand poses from 2D monocular representations remains challenging due to the limited availability of large-scale, diverse 3D-annotated hand datasets, in contrast to the abundance of human body motion data. We address this limitation by transferring motion representations learned from large body pose corpora t...

M. Piccioli, G. Amprimo, Claudia Ferraris et al. · 0 citations

Biomedical Signal Processing and Control

This study proves that GMH-D is a reliable framework for assessing 3D hand movements in clinical applications and contributes to the advancement of hand tracking technology, and the establishment of a validation procedure as a good-practice to prove efficacy of deep-learning-based hand-tracking.

G. Amprimo, Giulia Masi, G. Pettiti et al. · 0 citations