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Automatic gesture analysis using constant affine velocity

J. Cifuentes, P. Boulanger, M.T. Pham, R. Moreau, F. Prieto

36th International Engineering in Medicine and Biology Conference - EMBC 2014, Chicago (Estados Unidos de América). 26-30 agosto 2014


Resumen:

Hand human gesture recognition has been an important research topic widely studied around the world, as this field offers the ability to identify, recognize, and analyze human gestures in order to control devices or to interact with computer interfaces. In particular, in medical training, this approach is an important tool that can be used to obtain an objective evaluation of a procedure performance. In this paper, some obstetrical gestures, acquired by a forceps, were studied with the hypothesis that, as the scribbling and drawing movements, they obey the one-sixth power law, an empirical relationship which connects path curvature, torsion, and euclidean velocity. Our results show that obstetrical gestures have a constant affine velocity, which is different for each type of gesture and based on this idea this quantity is proposed as an appropriate classification feature in the hand human gesture recognition field.


Palabras clave: Trajectory , Blades , Linear regression , Gesture recognition , Histograms , Kinematics , Neuroscience


DOI: DOI icon https://doi.org/10.1109/EMBC.2014.6943964

Fecha de publicación: agosto 2014.



Cita:
Cifuentes, J., Boulanger, P., Pham, M.T., Moreau, R., Prieto, F., Automatic gesture analysis using constant affine velocity, 36th International Engineering in Medicine and Biology Conference - EMBC 2014, Chicago (Estados Unidos de América). 26-30 agosto 2014.


    Líneas de investigación:
  • Modelos matemáticos e Inteligencia Artificial aplicados al sector de la salud

IIT-14-207C

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