ARECA-Lite: A lightweight modified ArecaNet with reduced complexity for real-time robust facial emotion recognition
Facial emotion recognition (FER) in e-learning environments faces a persistent tension between recognition performance and deployment efficiency; high-performing architectures typically impose prohibitive computational costs that preclude real-time use on commodity hardware. This paper presents ARECA-Lite, a lightweigh...