AI-based novel hybrid approach for stress severity detection using cascaded CNN and threshold-optimized random forests

Researchers have developed a new hybrid machine learning approach to detect stress levels by combining facial landmark analysis with physiological data. The model achieved high accuracy by utilizing cascaded CNNs and optimized random forest algorithms.