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Reference TypeConference Paper (Conference Proceedings)
Last Update2017:
Metadata Last Update2020: administrator
Citation KeyPradiBelSilDórNas:2017:ViCoTo
TitleVisual computing tool for training recognition and production of facial expressions by children with autism
Access Date2021, Jan. 26
Number of Files1
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Author1 Pradi, Thiago
2 Bellon, Olga Regina Pereira
3 Silva, Luciano
4 Dória, Gustavo Manoel Schier
5 Nascimento, Daniele Fajardo
Affiliation1 Universidade Federal do Paraná - IMAGO Research Group
2 Universidade Federal do Paraná - IMAGO Research Group
3 Universidade Federal do Paraná - IMAGO Research Group
4 Universidade Federal do Paraná - Department of Forensic Medicine and Psychiatry
5 Universidade Federal do Paraná - Department of Forensic Medicine and Psychiatry
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ
DateOct. 17-20, 2017
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeMaster's or Doctoral Work
History2017-09-07 18:10:58 :: -> administrator ::
2020-02-20 22:06:47 :: administrator -> :: 2017
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Is the master or a copy?is the master
Content Stagecompleted
Keywordsautism, facial expressions, visual computing.
AbstractIndividuals with ASD can present limitations in several activities, including recognizing and producing emotions. This work presents a computational tool elaborated for training the recognition and production of facial expressions, developed based on a study about the state-of-the-art of the field. Besides the training activities, the tool collects and analyze data about the user during the activities. The usability of the tool was validated through experiments performed with autistic children, supervised by a multidisciplinary team. These experiments were recorded in both 2D and 3D videos, being the first database of this kind presented in the literature, from our best knowledge. The results show a tendency about the difference in recognizing positive and negative expressions.
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