Lightweight CNN Benchmarks for Facial Emotion Recognition in Pepper Robot Applications

This work benchmarks three lightweight CNNs, MobileNetV2, EfficientNet-B0, and ResNet18, on a balanced AffectNet subset, evaluating accuracy, inference speed, and model size. Results show that lightweight CNNs provide competitive accuracy and efficiency, supporting their use in real-time applications.