Human-Robot Interaction based on Facial Expression Imitation
| Autor: | Zeynab Rokhi, Ali Meghdari, Minoo Alemi, Alireza Esfandbod, Alireza Taheri |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Facial expression Computer science media_common.quotation_subject Speech recognition 020101 civil engineering Empathy 02 engineering and technology Convolutional neural network Facial recognition system Human–robot interaction 0201 civil engineering Nonverbal communication 020901 industrial engineering & automation Robot Imitation media_common |
| Zdroj: | 2019 7th International Conference on Robotics and Mechatronics (ICRoM). |
| DOI: | 10.1109/icrom48714.2019.9071837 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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