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dc.contributor.authorSousa, Ingrid Miranda de-
dc.contributor.authorTrindade, Joel Lucas de Jesus Trindade-
dc.contributor.authorIdrobo Pizo, Gerardo Antônio-
dc.date.accessioned2019-11-29T12:32:45Z-
dc.date.available2019-11-29T12:32:45Z-
dc.date.issued2019-
dc.identifier.citationSOUSA, Ingrid Miranda de; TRINDADE, Joel Lucas de Jesus Trindade; PIZO, Gerardo Antônio. Simulation of human hands movements using forward kinematics. In: CONGRESSO BRASILEIRO DE ENGENHARIA BIOMÉDICA, 26., 2018, Búzios - RJ. IFMBE Proceedings, vol 70/1. Springer, Singapore.pt_BR
dc.identifier.urihttps://repositorio.unb.br/handle/10482/35899-
dc.language.isoInglêspt_BR
dc.publisherSpringer, Singaporept_BR
dc.rightsAcesso Restritopt_BR
dc.titleSimulation of human hands movements using forward kinematicspt_BR
dc.typeTrabalhopt_BR
dc.subject.keywordMãospt_BR
dc.subject.keywordCinemáticapt_BR
dc.subject.keywordSimulaçãopt_BR
dc.subject.keywordRobóticapt_BR
dc.rightsholder© Springer Nature Singapore Pte Ltd. 2019-
dc.identifier.doihttps://doi.org/10.1007/978-981-13-2119-1_108pt_BR
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-981-13-2119-1_108pt_BR
dc.description.abstract1The human hand is one of the human body extremities that allows to perform numerous movements to accomplish tasks. This paper presents the mathematical model of forward kinematics and the first results of the human hand simulation using computational tools as Matlab, which allows to represent of the movements in 3D. The equations used are based on Denavit-Hartenberg convention, where a homogeneous transformation matrix is determined that relates position values of the end ends of the fingers with the angular position values of the phalanges. The results provide a series of information and recommendations that can be used in the biomechanical study of the hand. The mathematical model serves as complementary information in the gesture recognition process. Helping to solve diverse singularities of possible positions of the fingers when they are not clearly identified in images of intensity for recognition of gestures translated into text or voice.pt_BR
Aparece en las colecciones: FGA - Trabalhos apresentados em eventos

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