
Machine learning systems detecting emotions through facial micro-expressions, voice prosody, gesture, physiological signals (HRV, GSR, respiration), and contextual cues, trained on globally diverse datasets to account for cultural variation in affective expression.
Follow us for weekly foresight in your inbox.