The system uses a complex of nervous networks to analyze heterogeneous information: speech, facial expressions, gestures and text. Recognition accuracy reaches 80%, which exceeds the indicators of existing analogs. The program defines seven basic emotions: joy, sadness, fear, disgust, surprise, anger and calm.
A feature of development is the ability to work in difficult conditions when a person does not look at the camera. The system also recognizes irony and sarcasticity when the meaning of the face does not coincide with the tone or expression of the face.
Neural networks are examined in multilingual databases, including the records of people in different age, gender and nationality. The young actors of theater universities were included in the Russian -Language Base segment.
According to the president of Alexei Karpov, the system can be integrated into various digital assistants.
Source: Ferra
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