Abstract
Main challenge in the human–robot interaction is to endow the robots with emotional intelligence making the interaction more genuine and natural. Main aspect in achieving this goal is the robot’s capability to interpret human emotions. Destiny humanoid robot will be one of the most widely used agents in human-robot interaction. Destiny robot will be equipped with a module of facial expression recognition based on CNN (convolutional neural network) facial expression recognition model with high accuracy and capability. This module will be integrated into Destiny's SDK that will allow facial expression classification. Another approach is developing a tool for emotion recognition through vocal features, such as tone, timbre, pitch or loudness making it possible to acquire machine intelligence with emotional intelligence. This feature would be especially helpful for humans suffering from emotional disorders or from the inability to express emotions. The model can detect emotional signals in the human voice using CNN.
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