Is this the future of empathy? Discover how Kopernica claims to read human emotions with incredible precision
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- Kopernica AI platform follows more than 790 body points
- Combines vision, voice and psychology to ‘understand’ complex human emotions
- Constantly learns the emotional patterns of users to personalize his answers with empathy
In recent years, artificial intelligence has rapidly improved in understanding human language and behavior, but the challenge of really grabbing human emotions remains a limit.
However Neurology Says that the new AI system can ‘understand’, can feel stress and fear and can adjust accordingly.
Kopernica integrates multiple sensory inputs and, in contrast to traditional AI that is mainly dependent on text or speech, a combination of computer vision, natural language processing and personality modeling.
Multimodal detection
The system monitors more than 790 reference points on the human body, seven times more than comparable market solutions.
By using 3D pattern recognition, the subtle body language and facial expressions can absorb.
To find emotional clues that go beyond words, it also investigates vocal tone and rhythmic patterns.
In addition, Kopernica continuously learns the emotional trends and interaction choices of an individual.
This enables the system to personalize and to be more empathetic in involvement over time.
Such a multimodal signal merger is advertised as the first technology that combines visual, auditory and psychological signals to divert complex conditions such as motivation, cognitive load, stress and attention.
“Today’s AI systems understand what we say, but they can’t understand how we feel,” said Juan Graña, co-founder and CEO of Neurologyca.
“With Kopernica we have created the human context layer that will enable these systems not only to capture nuanced human emotions, but to respond with empathy, to adjust their behavior and really improve the relationship between people and machine.”
The promise of an emotionally smart AI is attractive, but the enormous question remains: Can AI really understand human emotions in a meaningful sense?
The human capacity is very complex. It is formed by history, context, individual nuance and cultural dimensions that will overlook even the most advanced AI system.
It goes further than just detecting anxiety or stress markers of micro expression and vocal patterns. The interpretation of what caused these expressions and the correct reaction is a problem that probably requires a human judgment.
There is also the issue of privacy. Neurologyca claims that Kopernica carries out real -time processing locally on devices, anonimizes data and ensures that no identifiable information is stored or shared without explicit permission.
Nevertheless, every system that claims to consistently follow human physiological and psychological signals, especially in public environments, will always have privacy issues to deal with.
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