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

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorBettio, Raphael Winckler de-
Autor(es): dc.creatorSilva, André H. C.-
Autor(es): dc.creatorHeimfarth, Tales-
Autor(es): dc.creatorFreire, André Pimenta-
Autor(es): dc.creatorSá, Alex G. C. de-
Data de aceite: dc.date.accessioned2026-02-09T12:47:31Z-
Data de disponibilização: dc.date.available2026-02-09T12:47:31Z-
Data de envio: dc.date.issued2017-02-17-
Data de envio: dc.date.issued2017-02-17-
Data de envio: dc.date.issued2013-10-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/12309-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/10915/29803-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/10915/29803-
Descrição: dc.descriptionThe 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.-
Idioma: dc.languageen-
Publicador: dc.publisherUniversidad Nacional de La Plata-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceJournal of Computer Science and Technology (La Plata)-
Palavras-chave: dc.subjectSupport Vector Machines (SVM)-
Palavras-chave: dc.subjectFinite State Machines (FSM)-
Palavras-chave: dc.subjectVideo games-
Palavras-chave: dc.subjectComputer games-
Palavras-chave: dc.subjectGames – Data processing-
Palavras-chave: dc.subjectMáquinas de vetores de suporte-
Palavras-chave: dc.subjectJogos para computador-
Palavras-chave: dc.subjectJogos – Processamento de dados-
Título: dc.titleModel and implementation of body movement recognition using Support Vector Machines and Finite State Machines with cartesian coordinates input for gesture-based interaction-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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