The paper presents AIGaitor, a privacy-preserving on-device monocular motion analysis system that performs end-to-end pose estimation and deep learning gait analysis on consumer smartphones.
Anipose: A toolkit for robust markerless 3D pose estimation
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Evaluation of three pose estimation methods on infant videos shows Sapiens best for 2D consistency and SAM 3D Body best for 3D kinematic reconstruction with 19-28 mm errors, plus proof-of-concept for distinguishing motor patterns.
citing papers explorer
-
AIGaitor: Privacy-preserving and cloud-free motion analysis for everyone, using edge computing
The paper presents AIGaitor, a privacy-preserving on-device monocular motion analysis system that performs end-to-end pose estimation and deep learning gait analysis on consumer smartphones.
-
Markerless Motion Capture for Biomechanical Whole-Body Kinematic Estimation in Infants
Evaluation of three pose estimation methods on infant videos shows Sapiens best for 2D consistency and SAM 3D Body best for 3D kinematic reconstruction with 19-28 mm errors, plus proof-of-concept for distinguishing motor patterns.