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| Author(s): |
Valéria de Carvalho Santos
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) |
| Defense date: | 2012-07-12 |
| Examining board members: |
Roseli Aparecida Francelin Romero;
Orides Morandin Junior;
Ivan Nunes da Silva
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| Advisor: | Roseli Aparecida Francelin Romero |
| Abstract | |
Sociable robots must be able to interact, communicate, understand and relate to humans in a natural way. Although many social robots have been developed successfully, there are still many limitations to overcome. Important advances are needed in the development of mechanisms that allow more realistic interactions and that regulate the relationship between robots and humans. One way to make more realistic interactions is through facial expressions of emotion. In this context, this project provides ability for imitation of facial expressions of emotion to a virtual robotic head, in order to allow more realistic and lasting interactions with humans. For such, learning by imitation is used, in which the robotic head mimics facial expressions made by a user during social interaction. The imitation learning was performed by artificial neural networks. Facial expressions considered in this work are: neutral, happiness, anger, surprise and sadness. Experimental results are presented which show the good performance of the proposed system imitation (AU) | |
| FAPESP's process: | 10/04325-3 - Use of imitation for learning emotions em Social Robotics |
| Grantee: | Valéria de Carvalho Santos |
| Support Opportunities: | Scholarships in Brazil - Master |