Model and implementation of body movement recognition using Support Vector Machines and Finite State Machines with cartesian coordinates input for gesture-based interaction

The growth in the use of gesture-based interaction in video games has highlighted the potential for the use of such interaction method for a wide range of applications. This paper presents the implementation of an enhanced model for gesture recognition as input method for software applications. The...

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Detalles Bibliográficos
Autores principales:	Bettio, Raphael W. de, Silva, André H. C., Heimfarth, Tales, Freire, André P., Sá, Alex G. C. de
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2013
Materias:	Ciencias Informáticas Video (e.g., tape, disk, DVI) COMPUTER GRAPHICS
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/29803 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct13-3.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-29803
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Video (e.g., tape, disk, DVI) COMPUTER GRAPHICS
spellingShingle	Ciencias Informáticas Video (e.g., tape, disk, DVI) COMPUTER GRAPHICS Bettio, Raphael W. de Silva, André H. C. Heimfarth, Tales Freire, André P. Sá, Alex G. C. de Model and implementation of body movement recognition using Support Vector Machines and Finite State Machines with cartesian coordinates input for gesture-based interaction
topic_facet	Ciencias Informáticas Video (e.g., tape, disk, DVI) COMPUTER GRAPHICS
description	The growth in the use of gesture-based interaction in video games has highlighted the potential for the use of such interaction method for a wide range of applications. This paper presents the implementation of an enhanced model for gesture recognition as input method for software applications. The model uses Support Vector Machines (SVM) and Finite State Machines (FSM) and the implementation was based on a Kinect R device. The model uses data input based on Cartesian coordinates. The use of Cartesian coordinates enables more ﬂexibility to generalise the use of the model to different applications, when compared to related work encountered in the literature based on accelerometer devices for data input. The results showed that the use of SVM and FSM with Cartesian coordinates as input for gesture-based interaction is very promising. The success rate in gesture recognition was 98%, from a training corpus of 9 sets obtained by recording real users’ gestures. A proof-of-concept implementation of the gesture recognition interaction was performed using the application Google Earth(R). A preliminary acceptance evaluation with users indicated that the interaction with the system via the implementation reported was satisfactory.
format	Articulo Articulo
author	Bettio, Raphael W. de Silva, André H. C. Heimfarth, Tales Freire, André P. Sá, Alex G. C. de
author_facet	Bettio, Raphael W. de Silva, André H. C. Heimfarth, Tales Freire, André P. Sá, Alex G. C. de
author_sort	Bettio, Raphael W. de
title	Model and implementation of body movement recognition using Support Vector Machines and Finite State Machines with cartesian coordinates input for gesture-based interaction
title_short	Model and implementation of body movement recognition using Support Vector Machines and Finite State Machines with cartesian coordinates input for gesture-based interaction
title_full	Model and implementation of body movement recognition using Support Vector Machines and Finite State Machines with cartesian coordinates input for gesture-based interaction
title_fullStr	Model and implementation of body movement recognition using Support Vector Machines and Finite State Machines with cartesian coordinates input for gesture-based interaction
title_full_unstemmed	Model and implementation of body movement recognition using Support Vector Machines and Finite State Machines with cartesian coordinates input for gesture-based interaction
title_sort	model and implementation of body movement recognition using support vector machines and finite state machines with cartesian coordinates input for gesture-based interaction
publishDate	2013
url	http://sedici.unlp.edu.ar/handle/10915/29803 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct13-3.pdf
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bdutipo_str	Repositorios
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Model and implementation of body movement recognition using Support Vector Machines and Finite State Machines with cartesian coordinates input for gesture-based interaction

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