A Lightweight Dynamic Gesture Recognition Model Driven by Meta-Learning Under Small Sample Conditions
Dynamic gesture recognition under small-sample conditions remains challenging due to the large variations caused by users, viewpoints, motion patterns, and hand configurations. This study proposes a lightweight dynamic gesture recognition framework that integrates meta-learning, Neural Architecture Search (NAS), and kn...