3 papers
cs.CV2026
LLM-Conditioned Synthesis of Pathological Gaits via Structured Gait-Language Representations
Mritula Chandrasekaran, Sanket Kachole, Jarek Francik +1
Pathological gait datasets remain scarce due to privacy, recruitment, cost, and movement variability. Our work presents a multimodal LLM-guided framework for pathology-aware 3D gai…
cs.CV2026
PGcGAN: Pathological Gait-Conditioned GAN for Human Gait Synthesis
Mritula Chandrasekaran, Sanket Kachole, Jarek Francik +1
Pathological gait analysis is constrained by limited and variable clinical datasets, which restrict the modeling of diverse gait impairments. To address this challenge, we propose…
cs.CV2023
Gait Data Augmentation using Physics-Based Biomechanical Simulation
Mritula Chandrasekaran, Jarek Francik, Dimitrios Makris
This paper focuses on addressing the problem of data scarcity for gait analysis. Standard augmentation methods may produce gait sequences that are not consistent with the biomechan…