- The Kopernic Platform to more than 790 body points tracked
- Combine vision, voice and psychology to “understand” complex human emotions
- Learn the emotional patterns of users continuously to customize their responses with empathy
In recent years, artificial intelligence has advanced rapidly in understanding human language and behavior, however, the challenge of really understanding human emotions remains a border.
However, Neurology says that its new AI system can “understand” human emotions, sensory stress and anxiety, and adapt accordingly.
Kopernica integrates multiple sensory entries and, unlike the traditional AI that is mainly based on text or speech, uses a computer vision combination, natural language processing and personality modeling.
Multimodal detection
The system monitors more than 790 reference points in the human body, seven times more than comparable market solutions.
By using 3D patterns recognition, you can record subtle body language and facial expressions.
To find emotional clues that go beyond words, it also examines the vocal tone and rhythmic patterns.
In addition, Kopernica continually learns emotional trends and intentions of interaction of an individual.
This allows the system to personalize and be more empathetic in the commitment over time.
This fusion of multimodal signals is promoted as the first technology that combines visual, auditory and psychological signals to infer complex states such as motivation, cognitive load, stress and attention.
“Today’s systems understand what we say, but they can’t understand how we feel,” said Juan Graña, co -founder and CEO of Neurology.
“With Kopernica, we have created the human context layer that will empower these systems not only to capture nuanced human emotions, but also responds with empathy, adapts their behavior and genuinely improve the human-machine relationship.”
The promise of an emotionally intelligent is attractive, but the big question remains: can Ia really understand human emotions in some significant sense?
Human capacity is very complex. It is formed by history, context, individual nuances and cultural dimensions that even the most advanced AI system will overlook.
It goes beyond simply detecting anxiety markers or micro -expression and vocal patterns stress. The interpretation of what caused these expressions and the appropriate response is a problem that human judgment probably requires.
There is also the issue of privacy. Neurology states that Kopernica performs real -time processing locally on devices, anonymity and guaranteeing that it does not store or share identifiable information without explicit consent.
However, any system that claims to constantly monitor human physiological and psychological signals, especially in public environments, will always have privacy problems with which to deal with.
