A hierarchical fusion framework for robust humanoid activity recognition using IMU and RGB modalities, enhanced with genetic optimization for feature selection and Deep ConvLSTM for temporal modeling. Single-modality recognition collapses under occlusion and sensor drift G�� humanoids need redundant perception. The system achieves superior accuracy across complex activity sequences in real-time robotic environments.