Using Body Motion Capture for the Analysis of Disabilityin Upper or Lower Limbs. Use Case: hemiplegia

Authors

  • Abraham Briseño Cerón Universidad Politécnica de Sinaloa
  • Omar A. Domínguez Ramírez Centro de Investigación en Tecnologías de Información y Sistemas
  • Ismaylia Saucedo Ugalde Universidad Politécnica de Sinaloa

DOI:

https://doi.org/10.37467/gka-revtechno.v1.1264

Keywords:

Motion capture, Analysis and human characterization

Abstract

All objects can have movement and their study is important to perform a characterizationas natural as possible. The locomotion movement of the human skeletal system is complex. Analysis,modeling and representation of the movements is a difficult task, the development of information technologies to capture motion trajectories, allow to save time and effort for the design and development of support tools for areas such as physiotherapy. In this research we use a motion capture device with eight cameras, 34 markers organized which are placed to identify each body segment and basic bodyarticulation. The capture and representation of body movements in hemiplegia people is using with3D tools, allowing to check, calculate and simulate continuously and have reliable results about this disability.

References

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Lars Mündermann, Stefano Corazza, Thomas P Andriacchi, “La evolución de los métodos para la captura de movimiento humano que conduzcan a markerless de captura de movimiento para aplicaciones biomecánicas “Journal of NeuroEngineering and Rehabilitation, 2006; 3: 6-6.

Moeslund, T., Hilton A., (2006). “A Survey of advances in visión-based human motion capture and analysis”.

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Pons L. José, “Biomechanics Exoskeletons”, Editorial John Wiley & Sons 2008.

Sturman David J., “A Brief History of Motion Capture for Computer Character Animation”, "Character Motion Systems", SIGGRAPH 94: Course 9.

Zhou H., Hu H. (2004), “A survey– Human Movement Tracking and Stroke Rehabilitation”.

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Published

2012-06-21

Issue

Section

Research articles

How to Cite

Using Body Motion Capture for the Analysis of Disabilityin Upper or Lower Limbs. Use Case: hemiplegia. (2012). TECHNO REVIEW. International Technology, Science and Society Review Revista Internacional De Tecnología, Ciencia Y Sociedad, 1(2), 31-42. https://doi.org/10.37467/gka-revtechno.v1.1264