%0 Journal Article %1 goncalves2016redes %A Gonçalves, Luiz Carlos %A Saad, Eduardo Fernandes %A Andrade, Rogerio Bernardes %A Romero, Buno Alves %A de Campos, Roberto Duarte %D 2016 %J Jornal de Engenharia, Tecnologia e Meio Ambiente %K artificial-neural-network brazilian-sign-language bsl kinect libras rel %N 1 %P 32-37 %T Redes Neurais Artificiais e Processamento de Imagem no Reconhecimento de LIBRAS, Usando o Kinect %U http://publicacoes.facthus.edu.br/index.php/geral/article/view/69 %V 1 %X The descriptive paper aims to develop a program that electronically translates the sign of Brazilian Sign Language (Libras) by using the Kinect sensor (used in the XBox 360 video game from Microsoft), neural networks and image processing. The application has intention to capture gestures and test freely performed with the user's hand, thus permitting the training and recognizing several different types of gestures using Kinect sensor, which allows the capture of an image with the depth map. From the tracking and capturing images, you can distinguish the gestures obtained, which defines particular letters. The work allows tracking elements of a scene capture, learning using binary matrices generated by image processing and recognition in an Artificial Neural Network (ANN). The results were 88%, well above the minimum acceptable for a neural network, meeting the objective of this article.

@article{goncalves2016redes, abstract = {The descriptive paper aims to develop a program that electronically translates the sign of Brazilian Sign Language (Libras) by using the Kinect sensor (used in the XBox 360 video game from Microsoft), neural networks and image processing. The application has intention to capture gestures and test freely performed with the user's hand, thus permitting the training and recognizing several different types of gestures using Kinect sensor, which allows the capture of an image with the depth map. From the tracking and capturing images, you can distinguish the gestures obtained, which defines particular letters. The work allows tracking elements of a scene capture, learning using binary matrices generated by image processing and recognition in an Artificial Neural Network (ANN). The results were 88%, well above the minimum acceptable for a neural network, meeting the objective of this article.}, added-at = {2019-09-11T08:27:11.000+0200}, author = {Gonçalves, Luiz Carlos and Saad, Eduardo Fernandes and Andrade, Rogerio Bernardes and Romero, Buno Alves and de Campos, Roberto Duarte}, biburl = {https://www.bibsonomy.org/bibtex/2ef31317735f53a13e038a7824e8e6bcb/jpmor}, id = {69}, institution = {Faculdade de Talentos Humanos (FACTHUS)}, interhash = {dc7a72634702f5c6b624f33fce42b925}, intrahash = {ef31317735f53a13e038a7824e8e6bcb}, issn = {2526-060X}, journal = {Jornal de Engenharia, Tecnologia e Meio Ambiente}, keywords = {artificial-neural-network brazilian-sign-language bsl kinect libras rel}, language = {Portuguese}, month = {February}, number = 1, pages = {32-37}, school = {Faculdade de Talentos Humanos (FACTHUS)}, source = {JORNAL DE ENGENHARIA, TECNOLOGIA E MEIO AMBIENTE - JETMA}, timestamp = {2020-10-07T13:36:50.000+0200}, title = {Redes Neurais Artificiais e Processamento de Imagem no Reconhecimento de LIBRAS, Usando o Kinect}, uri = {http://publicacoes.facthus.edu.br/index.php/geral}, url = {http://publicacoes.facthus.edu.br/index.php/geral/article/view/69}, volume = 1, year = 2016 }