Lightweight dynamic gesture recognition method for complex background based on improved transformer
The proposed approach integrates the global modeling capabilities of self-attention mechanisms with the local feature extraction capabilities of convolutional networks through optimized combination, achieving a balance between resource utilization and recognition efficiency on mobile platforms.