most citedHand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2023★ 3 cited

Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks

Gianluca Amprimo, Giulia Masi, Giuseppe Pettiti +3

Accurate 3D tracking of hand and fingers movements poses significant challenges in computer vision. The potential applications span across multiple domains, including human-compute…