Vol. 12 No. 33 (2013): Revista GTI
Artículos de Investigación Científica e Innovación

IDENTIFICACIÓN DE LA PUNTA DE LOS DEDOS DE LA MANO EN UN PLANO 2D BASADO EN KINECT.

SAMIR CASTAÑO RIVERA
Universidad de Córdoba
Bio
DANIEL JOSÉ SALAS ÁLVAREZ
Universidad de Córdoba
Bio
RICARDO JOSÉ MONTES RODRÍGUEZ
Universidad de Córdoba
Bio

Published 2013-10-02

How to Cite

CASTAÑO RIVERA, S., SALAS ÁLVAREZ, D. J., & MONTES RODRÍGUEZ, R. J. (2013). IDENTIFICACIÓN DE LA PUNTA DE LOS DEDOS DE LA MANO EN UN PLANO 2D BASADO EN KINECT. Revista GTI, 12(33), 57–65. Retrieved from https://revistas.uis.edu.co/index.php/revistagti/article/view/3556

Abstract

RESUMEN ANALÍTICO

Este trabajo de investigación tiene como propósito presentar un sistema de reconocimiento de acciones o gestos realizados mediante la mano con el fin de mejorar la interacción maquina-hombre,basados en la tecnología Kinect, mediante el diseño de un modelado matemático y la implementación de un algoritmo computacional.El algoritmo implementado permitió el reconocimiento de la ubicación de una mano y dedos dentro de un plano 2D utilizando la tecnología Kinect. Es importante resaltar la importancia de los resultadoslogrados debido a la mejora de la experiencia de interacción gestual por parte del usuario y a la posibilidad de reconocimiento de gestos como abrir o cerrar la mano.


PALABRAS CLAVES: Sistema de Reconocimiento, Computación Basada en Gestos, Kinect, Reconocimiento, Interface natural de usuario.

 

ANALYTICAL SUMMARY

This research work aims to present a recognition system of actions or gestures made by hand in order to improve the man-machine interaction based on Kinect technology, by designing mathematicalmodeling and implementation of an algorithm computer. The implemented algorithm allowed the recognition of the location of a hand and fingers into a 2Dplane using Kinect technology. It is important to highlight the importance of the results achieved due to improved interaction experience for the user gesture and gesture recognition ability as opening orclosing the hand.

KEYWORDS: Kinect, Gesture-Based Computing, finger recognition, natural user interface.

 

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