Geometría diferencial de curvas aplicada a la modelización de trayectorias

EMANUEL TELLO; NATALIA LÓPEZ; FLAVIO ROBERTI; ELISA PEREZ

Cordoba

Congreso; XXI Congreso Argentino de Bioingeniería-XJornada de Ingeniería Clínica; 2017

Facultad de Ciencias Exactas, Físicas y Naturales con la Facultad de Ciencias Médicas de la Universidad Nacional de Córdoba

The recognition of human actions through the recording of movements by commercial use sensors, such as Kinect, is currently one of the most challenging research topics in the field of rehabilitation. Its inclusion as a tool, in contribution to the diagnosis made by the medical professional, represents an advance in the criteria adopted. However, problems arising from image and signal processing techniques certainly hinder the incorporation of such technologies. This work presents a method that makes use of tools provided by the classical differential geometry of curves, in order to achieve a more adequate and efficient representation of the movements performed by patients under different neuromotor conditions.