New generation of human machine interfaces for controlling UAV through depth based gesture recognition

Mantecón del Valle, Tomás; Blanco Adán, Carlos Roberto del; Jaureguizar Núñez, Fernando y García Santos, Narciso (2014). New generation of human machine interfaces for controlling UAV through depth based gesture recognition. En: "SPIE Defense, Security and Sensing Conference 2014", 05-09 May 2014, Baltimore, Maryland, United States. ISBN 9781628410211.

Descripción

Título: New generation of human machine interfaces for controlling UAV through depth based gesture recognition
Autor/es:
  • Mantecón del Valle, Tomás
  • Blanco Adán, Carlos Roberto del
  • Jaureguizar Núñez, Fernando
  • García Santos, Narciso
Tipo de Documento: Ponencia en Congreso o Jornada (Charla)
Título del Evento: SPIE Defense, Security and Sensing Conference 2014
Fechas del Evento: 05-09 May 2014
Lugar del Evento: Baltimore, Maryland, United States
Título del Libro: Proceedings of SPIE Defense, Security and Sensing Conference
Fecha: Mayo 2014
ISBN: 9781628410211
Volumen: 9084
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

New forms of natural interactions between human operators and UAVs (Unmanned Aerial Vehicle) are demanded by the military industry to achieve a better balance of the UAV control and the burden of the human operator. In this work, a human machine interface (HMI) based on a novel gesture recognition system using depth imagery is proposed for the control of UAVs. Hand gesture recognition based on depth imagery is a promising approach for HMIs because it is more intuitive, natural, and non-intrusive than other alternatives using complex controllers. The proposed system is based on a Support Vector Machine (SVM) classifier that uses spatio-temporal depth descriptors as input features. The designed descriptor is based on a variation of the Local Binary Pattern (LBP) technique to efficiently work with depth video sequences. Other major consideration is the especial hand sign language used for the UAV control. A tradeoff between the use of natural hand signs and the minimization of the inter-sign interference has been established. Promising results have been achieved in a depth based database of hand gestures especially developed for the validation of the proposed system.

Más información

ID de Registro: 26271
Identificador DC: http://oa.upm.es/26271/
Identificador OAI: oai:oa.upm.es:26271
Depositado por: Tomás Mantecón del Valle
Depositado el: 21 May 2014 07:13
Ultima Modificación: 22 Sep 2014 11:40
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