Multimodal Affective Computing
AI systems that detect and respond to complex human emotional states.
Machine learning models that analyze voice intonation, facial micro-expressions, and text sentiment simultaneously to understand a user's emotional state. This enables software to respond with appropriate empathy and adjust interactions based on mood.
TRL
6/9Demonstrated
Impact
5/5
Investment
4/5
Category
Software