TinyStressNet: A Quantization-Ready Model for Subject-Independent Academic Stress Sensing
TinyStressNet is a compact neural classifier for three-class academic stress estimation (low, medium, high) from three physiological features (galvanic skin response, heart rate, and skin temperature) designed for low-cost educational sensing. We evaluate it on 1000 interval-level observations from five engineering stu...