Lightweight CNN Benchmarks for Facial Emotion Recognition in Pepper Robot Applications
Year: 2025
Type: conference-paper
Abstract: 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.
Authors: Robinson, Jonathan, Vance, Philip, Siddique, N, Yogarajah, Pratheepan
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7112228789
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