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		<citationkey>PradiBelSilDórNas:2017:ViCoTo</citationkey>
		<title>Visual computing tool for training recognition and production of facial expressions by children with autism</title>
		<format>On-line</format>
		<year>2017</year>
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		<author>Pradi, Thiago,</author>
		<author>Bellon, Olga Regina Pereira,</author>
		<author>Silva, Luciano,</author>
		<author>Dória, Gustavo Manoel Schier,</author>
		<author>Nascimento, Daniele Fajardo,</author>
		<affiliation>Universidade Federal do Paraná - IMAGO Research Group</affiliation>
		<affiliation>Universidade Federal do Paraná - IMAGO Research Group</affiliation>
		<affiliation>Universidade Federal do Paraná - IMAGO Research Group</affiliation>
		<affiliation>Universidade Federal do Paraná - Department of Forensic Medicine and Psychiatry</affiliation>
		<affiliation>Universidade Federal do Paraná - Department of Forensic Medicine and Psychiatry</affiliation>
		<editor>Torchelsen, Rafael Piccin,</editor>
		<editor>Nascimento, Erickson Rangel do,</editor>
		<editor>Panozzo, Daniele,</editor>
		<editor>Liu, Zicheng,</editor>
		<editor>Farias, Mylène,</editor>
		<editor>Viera, Thales,</editor>
		<editor>Sacht, Leonardo,</editor>
		<editor>Ferreira, Nivan,</editor>
		<editor>Comba, João Luiz Dihl,</editor>
		<editor>Hirata, Nina,</editor>
		<editor>Schiavon Porto, Marcelo,</editor>
		<editor>Vital, Creto,</editor>
		<editor>Pagot, Christian Azambuja,</editor>
		<editor>Petronetto, Fabiano,</editor>
		<editor>Clua, Esteban,</editor>
		<editor>Cardeal, Flávio,</editor>
		<e-mailaddress>thiago.pradi@gmail.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 30 (SIBGRAPI)</conferencename>
		<conferencelocation>Niterói, RJ, Brazil</conferencelocation>
		<date>17-20 Oct. 2017</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Master's or Doctoral Work</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>autism, facial expressions, visual computing.</keywords>
		<abstract>Individuals 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.</abstract>
		<language>en</language>
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		<usergroup>thiago.pradi@gmail.com</usergroup>
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