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• W3019281085 abstract "Mimicry during face-to-face interpersonal interactions is a meaningful nonverbal communication signal that affects the quality of the communications and increases empathy towards the interaction partner. In this paper we propose a facial expression imitation system that utilizes a convolutional neural network (CNN). The model was trained by means of the CK+ database., which is a popular benchmark in facial expression recognition. Then, we implemented the proposed system on a robotic platform and investigated the method's performance via 20 recruited participants. We observed a high mean score of the participants, viewpoints on the imitation capability of the robot of 4.1 out of 5." @default.
• W3019281085 created "2020-05-01" @default.
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• W3019281085 date "2019-11-01" @default.
• W3019281085 modified "2023-09-23" @default.
• W3019281085 title "Human-Robot Interaction based on Facial Expression Imitation" @default.
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• W3019281085 doi "https://doi.org/10.1109/icrom48714.2019.9071837" @default.
• W3019281085 hasPublicationYear "2019" @default.
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