Multimodal Affective Computing

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.

Technology Readiness Level
6
Demonstrator
Impact
5
Very High
Investment
4
High
Category
Software
Algorithms, models, and digital systems.