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AIDS/AIMLAffective Computing & Human-Computer InteractionIEEE Final Year Projects
Real-Time Multi-Modal Emotion & Stress Detector from Speech & Facial Video
Fusion model combining facial Action Units (FACS) with voice pitch and jitter to classify acute workplace stress levels.
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Project Technical Overview
Captures synchronized webcam video and microphone audio during remote work or clinical interviews. Fuses facial micro-expression classifications with acoustic speech prosody features in a late-fusion transformer to assess cognitive overload and mental exhaustion.
IEEE ResearchStandard Publication & Conference Literature
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.
Verified Included Components6 components linked
Arduino Uno