Daniel Antônio Furtado

Professor Adjunto

Faculdade de Computação

Universidade Federal de Uberlândia (UFU)

Bem vindo

Daniel A. Furtado é professor adjunto da Faculdade de Computação da Universidade Federal de Uberlândia. Nessa mesma universidade, obteve os títulos de Bacharel em Ciência da Computação e Mestre em Ciência da Computação. O doutorado foi concluído pelo Programa de Pós-Graduação em Engenharia Elétrica da UFU. Tem experiência como docente nas áreas de Ciência da Computação, Engenharias e Sistemas de Informação. Já atuou no desenvolvimento de sistemas de bancos de dados para a Internet e na mineração de dados aplicada a bancos de dados temporais. Atualmente, trabalha no desenvolvimento de métodos e algoritmos de visão computacional para rastreamento e reconstrução tridimensional do movimento humano em sistemas de captura de movimento ópticos (Optical Motion Capture Systems).

Contato

  • Campus Santa Mônica - Bloco 1B - Sala 1B120
    Av. João Naves de Ávila, 2121, Santa Mônica
    Uberlândia, MG - CEP: 38408-100
  • E-mail: furtado@ufu.br
  • Telefone: (34) 3239-4287

Plano de Ensino

Slides de Aula

Códigos de Exemplo

Trabalhos Semanais

Videoaulas

Projeto Final

Projetos (ResearchGate)


A computational method to track and reconstruct the movements of a cloud of independent markers in optical motion capture systems without using a human skeletal model
Human motion capture has been widely used in many application areas. In movies and games, this technique is frequently employed to animate virtual characters. In sports, motion capture and analysis focus on optimizing movements of athletes and injury prevention. Other applications areas include medicine, military and engineering. Motion capture can be accomplished by several technologies. However, optical marker-based systems are considered the gold standard of the motion capture field. They can offer high precision levels and flexibility to support most applications, but they are also the most expensive systems due to high costs of hardware and software. Although low-cost optical systems have been proposed in the last decade, these systems cannot provide enough precision, flexibility, automatism and/or real-time capability for a number of applications. This project aims to develop a complete and high precision approach to track and reconstruct the movements of a cloud of independent markers, in real time, using either multiple infrared specialized cameras or a group of low-cost consumer cameras, such as those available on mobile devices.
[Vídeo]
A real time approach to calibrate a set of video cameras for motion capture systems using a calibration wand
In the context of motion capture technology, camera calibration is the process of finding intrinsic and extrinsic camera parameters. The intrinsic parameters are related to internal aspects of the camera, like focal length, principal point and distortion coefficients. The external parameters tell us about the position and orientation of the camera itself with respect to a reference coordinate system. This project proposes the development of a real time approach to calibrate a set of low-cost video cameras for motion capture systems using a calibration wand.
A specialized motion capture system for real-time analysis of mandibular movements using infrared cameras
In the last years, several methods and devices have been proposed to record the human mandibular movements, since they provide quantitative parameters that support the diagnosis and treatment of temporomandibular disorders. The techniques currently employed suffer from a number of drawbacks including high price, unnatural to use, lack of support for real-time analysis and mandibular movements recording as a pure rotation. In this project, we proposed a specialized optical motion capture system, which causes a minimum obstruction and can support 3D mandibular movement analysis in real-time. A few specialized algorithms have been developed to automatically recognize our set of markers and track them along a motion capture session.

Publicações Recentes

Daniel Antônio Furtado on ResearchGate

2020

Identification of arthropathy and myopathy of the temporomandibular syndrome by biomechanical facial features,
Biomedical Engineering Online, v. 19, p. 22, 2020
(CALIL, BRUNO C.; CUNHA, D. V.; VIEIRA, M. F.; ANDRADE, A. O.; FURTADO, D. A.; BELLOMO, D. P.; PEREIRA, A. A.)

2018

Kinematic and electromyographic analysis of school children gait with and without load in the backpack,
Research on Biomedical Engineering, v. 34, p. 9-18, 2018
(JORGE, JÉSSICA G.; FARIA, AMANDA N.; FURTADO, D. A.; PEREIRA, A. A.; CARVALHO, E. M.; DIONÍSIO, V. C.)

2017

Real-time three-dimensional jaw tracking in temporomandibular disorders,
Journal of Oral Rehabilitation (print), 2017,
(DA CUNHA, D. V.; DEGAN, V. V.; VEDOVELLO, M. F.; BELLOMO, D. P.; SILVA, M. R.; FURTADO, D. A.; ANDRADE, A. O.; MILAGRE, S. T.; PEREIRA, A. A.)

2016

Análise Eletromiográfica dos Músculos Envolvidos no Exercício Supino Reto nas Fases Excêntrica e Concêntrica,
XXV Congresso Brasileiro de Engenharia Biomédica, 2016,
(RODRIGUES, L. A.; PEREIRA, A. A.; SANTOS, S. S.; OLIVEIRA, I. M.; FURTADO, D. A.; SILVA, B. G.)

2014

Análise Cinemática e Eletromiográfica da Marcha em Escolares com e sem Carga na Mochila,
XXIV Congresso Brasileiro de Engenharia Biomédica, 2014,
(JORGE, J. G.; FARIA, A. N.; BARBOZA, S. D. ; FURTADO, D. A.; PEREIRA, A. A.; Carvalho, E. M.; DIONISIO, V. C.)

2013

A specialized motion capture system for real-time analysis of mandibular movements using infrared cameras,
Biomedical Engineering Online, 2013,
(D. A. Furtado, A. A. Pereira, A. O. Andrade, D. P. Bellomo, M. R. Silva)
[PDF]

2012

Quantification of physiological kinetic tremor and its correlation with aging,
34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012, San Diego
(ALMEIDA, M. F. S.; CAVALHEIRO, G. L.; FURTADO, D. A.; PEREIRA, A. A.; ANDRADE, A. O.)
[PDF]

Análise de Dispositivos Ortóticos para Atenuação do Tremor em Membros Superiores,
XXIII Congresso Brasileiro de Engenharia Biomédica, 2012,
(ALMEIDA, M. F. S; LOPES, G. C.; PAIXAO, A. P. S.; FURTADO, D. A. ; PEREIRA, A. A. ; ANDRADE, A. O.)
[PDF]

Estudo Piloto para Avaliação Quantitativa da Trajetória Mandibular com Captura em 3D,
Congresso Internacional de Odontologia da FOUFU, 2012
(AZEVEDO, M. R. ; Moraes, NN ; Naves, ELM ; PEREIRA, AA ; FURTADO, D. A.)

2011

Investigation of changes in kinetic tremor through analysis of hand-drawing movements: Differences
between physiological and essential tremors
,
IV International Joint Conference on Biomedical Engineering Systems and Technologies, 2011, Roma
(D. A. Furtado, A. A. Pereira, A. O. Andrade, D. P. Bellomo, M. R. Silva)
[PDF]

2010

An Apriori-based Approach for First-Order Temporal Pattern Mining,
Journal of Information and Data Management, 2010,
(AMO, S. A.; FURTADO, D. A.; GIACOMETTI, A.; LAURENT, D.)

A Mocap System for 3D Reconstruction of Mandibular Movements in Real Time,
XXII Congresso Brasileiro de Engenharia Biomédica, 2010,
(FURTADO, D. A. ; PEREIRA, A. A. ; BELLOMO, D. ; ALMEIDA, M. F. S.)

Investigation of differences between physiological and essential tremors,
XXII Congresso Brasileiro de Engenharia Biomédica, 2010,
(ALMEIDA, M. F. S; LOPES, G. C.; FURTADO, D. A.; ANDRADE, A. O.; PEREIRA, A. A.)

First-order temporal pattern mining with regular expression constraints,
Data & Knowledge Engineering
(AMO, S. A.; FURTADO, D. A.)
[PDF]