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• W3114195756 abstract "A fascinating challenge in the field of human-robot interaction is the possibility to endow robots with emotional intelligence in order to make the interaction more intuitive, genuine, and natural. To achieve this, a critical point is the capability of the robot to infer and interpret human emotions. Emotion recognition has been widely explored in the broader fields of human-machine interaction and affective computing. Here, we report recent advances in emotion recognition, with particular regard to the human-robot interaction context. Our aim is to review the state of the art of currently adopted emotional models, interaction modalities, and classification strategies and offer our point of view on future developments and critical issues. We focus on facial expressions, body poses and kinematics, voice, brain activity, and peripheral physiological responses, also providing a list of available datasets containing data from these modalities." @default.
• W3114195756 created "2021-01-05" @default.
• W3114195756 creator A5036322916 @default.
• W3114195756 creator A5037825805 @default.
• W3114195756 creator A5046630253 @default.
• W3114195756 date "2020-12-21" @default.
• W3114195756 modified "2023-10-10" @default.
• W3114195756 title "Emotion Recognition for Human-Robot Interaction: Recent Advances and Future Perspectives" @default.
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