| Autor: |
Randria, Estelle, Cosentino, Sarah, Lin, Jia-Yeu, Pellegrini, Thomas, Sessa, Salvatore, Takanishi, Atsuo |
| Přispěvatelé: |
Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - INPT (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Waseda University (JAPAN), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
|
| Popis: |
In this paper, a system to recognize the emotions of the audience from facial expressions is proposed for the Waseda Anthropomorphic Saxophonist ver. 5. This system will be used to assess the mood of audience and adapt the emotional connotation of the robot musical performance. General models for emotion definition have been analyzed and Ekman’s model has been chosen. Emotion recognition is performed via cloud computing to implement scalable solutions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
