BioGait-VLM: A Tri-Modal Vision-Language-Biomechanics Framework for . . . Video-based Clinical Gait Analysis often suffers from poor generalization as models overfit environmental biases instead of capturing pathological motion To address this, we propose BioGait-VLM, a tri-modal Vision-Language-Biomechanics framework for interpretable clinical gait assessment
Hybrid Deep Neural Network Framework Combining Skeleton and Gait . . . We propose a hybrid deep neural network framework composed of a graph convolutional network, recurrent neural network, and artificial neural network to effectively encode skeleton sequences, joint angle sequences, and gait parameters, respectively
A Systematic Review of Gait Analysis in the Context of Multimodal . . . Conclusion: The findings of this review suggest that a smart, portable, wearable-based gait and balance assessment system can be developed using multimodal sensing of the most cutting-edge, clinically relevant tools and technology available