HomE: A Homogeneous Ensemble Framework for Dynamic Hand Gesture Recognition
Published in arXiv preprint, 2025
This paper presents HomE, a homogeneous ensemble framework that leverages clustering and LLM-driven sampling to partition gesture classes, enabling expert learners to improve accuracy and robustness in dynamic hand gesture recognition.
