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On the human arm motion camera tracking system

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
Jubilee Symposium Vibrations In Physical Systems (25 ; 15-19.05.2012 ; Będlewo koło Poznania ; Polska)
Języki publikacji
EN
Abstrakty
EN
This paper presents results of research devoted to tracking human arm trajectories in sagittal plane by means of motion capture. One camera tracking system was developed. Co-ordinates of upper limb joints (distincted by light reflecting markers) were obtained via tracking software. Markers were illuminated coaxially to the optical axis of the lens to obtain maximum of reflectivity. Positions, linear velocities and accelerations of a shoulder, elbow, wrist and palm in a sagittal plane were presented. Obtained results in the form of points (in Cartesian co-ordinate system) can be adopted for control of mechanism and robots with kinematics similar to that of a human arm. The obtained results show that in studied biological systems there are no fixed trajectories. All movement co-ordinates (including velocities, accelerations and joints angles) are slightly different for each time selected until movement task is completed. Presented method is relatively inexpensive and noninvasive and can be adopted for other types of motion capture.
Rocznik
Tom
Strony
41--46
Opis fizyczny
Bibliogr. 13 poz.
Twórcy
autor
  • Technical University of Łódź, Departament of Automation and Biomechanics, Stefanowskiego str. 1/15, 90-924 Łódź
  • Technical University of Łódź, Departament of Automation and Biomechanics, Stefanowskiego str. 1/15, 90-924 Łódź
autor
  • Technical University of Łódź, Departament of Automation and Biomechanics, Stefanowskiego str. 1/15, 90-924 Łódź
autor
  • Technical University of Łódź, Departament of Automation and Biomechanics, Stefanowskiego str. 1/15, 90-924 Łódź
Bibliografia
  • 1. Y. Hong, R. Bartlett, Handbook of Biomechanics and Human Movement Science, Routledge international Handbooks, London, New York, 2008.
  • 2. V. Filova, F. Solina, J. Lenarcic, Automatic reconstruction of 3D human arm motion from a monocular image sequence, Machine Vision and Applications, 10 (1998) 223-231.
  • 3. V. Lepetit, P. Fua, Monocular Model – Based 3D Tracking of Rigid Objects: A Survey, Foundation and Trends in Computer Graphics and Vision, 1(1) (2005) 1-89.
  • 4. C. Bregler, J. Malik, K. Pullen, Twist based Acquisition and Tracking of Animal and Human Kinematics, International Journal of Computer Vision, 56(3) (2004) 179-194.
  • 5. J. Rosen, J. Perry, N. Manning, S. Burns, B. Hannaford, The Human Arm Kinematics and Dynamics During Daily Activities – Toward a 7 DOF Upper Limb Powered Exoskeleton, ICAR ’05. Proceedings, (2005) 532-539.
  • 6. Y. Azoz, L. Devi, M. Yesin, R. Sharma, Tracking the human arm using constraint fusion and multiple-cue localization, Machine Vision and Applications, 13 (2003) 286-302.
  • 7. E. Rostkowska, P. Benz, L. B. Dworak, AVI Image – video motion analysis software for tests of biomechanical movement characteristics, Acta of Bioengineering and Biomechanics, 8(1) (2006) 13-25.
  • 8. D. Kim, J. Kim, K. Lee, Ch. Park, J. Song, D. Kang, Excavator Tele-operation system using a human arm, Automation in Construction, 18 (2009) 173-182.
  • 9. T. Okadome, M. Honda, Kinematic construction of the trajectory of sequential arm movements, Biological Cybernetics, 80 (1999) 157-169.
  • 10. X. Wang, Three-dimensional kinematic analysis of influence of hand orientation and joint limits on the control of arm postures and movements, Biological Cybernetics, 80 (1999) 449-463.
  • 11. A. Siemieński, Odwrotne zagadnienie optymalizacji dla współdziałających mięśni szkieletowych, Studia i Monografie AWF, Wrocław 2007.
  • 12. C. G. Meskers, H.M. Vermeulen, J. H. de Groot, F. C. T. van der Helm, P. M. Rozing, 3D shoulder position measurements using a six-degree-of-freedom electromagnetic tracking device, Clinical Biomechanics, 13 (1998) 280-292.
  • 13. K. Manal, R. V. Gonzalez, D. G. Lloyd, T. S. Buchanan, A Real-time EMG-driven virtual arm, Computers in Biology and Medicine, 32 (2002) 25-36.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fa503202-0ab9-40a3-8f1a-4bb9e385c318
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