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@InProceedings{BoehsVierPere:2018:DeExBo,
               author = "Boehs, Gustavo Eggert and Viera, Milton Luiz Horn and Pereira, 
                         Clovis Geyer",
          affiliation = "{Universidade Federal de Santa Catarina} and {Universidade Federal 
                         de Santa Catarina} and {Universidade Federal de Santa Catarina}",
                title = "Decoupling Expressiveness and Body-Mechanics in Human Motion",
            booktitle = "Proceedings...",
                 year = "2018",
               editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and 
                         Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and 
                         Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez, 
                         Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de 
                         and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa, 
                         Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus, 
                         Klaus de and Scheer, Sergio",
         organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "motion capture, deep learning, animation.",
             abstract = "Modern motion capturing systems can accurately store human motion 
                         with high precision. Editing this kind of data is troublesome, due 
                         to the amount and complexity of data. In this paper, we present a 
                         method for decoupling the aspects of human motion that are 
                         strictly related to locomotion and balance, from other movements 
                         that may convey expressiveness and intentionality. We then 
                         demonstrate how this decoupling can be useful in creating 
                         variations of the original motion, or in mixing different actions 
                         together.",
  conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
      conference-year = "Oct. 29 - Nov. 1, 2018",
             language = "en",
           targetfile = "decoupling.pdf",
        urlaccessdate = "2020, Nov. 29"
}


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