Hand gesture recognition using infrared imagery provided by leap motion controller

Mantecón del Valle, Tomás and Blanco Adán, Carlos Roberto del and Jaureguizar Núñez, Fernando and García Santos, Narciso (2016). Hand gesture recognition using infrared imagery provided by leap motion controller. In: "International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2016", 24/10/2016 - 27/10/2016, Lecce, Italia. ISBN 978-3-319-48680-2. pp. 47-57. https://doi.org/10.1007/978-3-319-48680-2 5.

Description

Title: Hand gesture recognition using infrared imagery provided by leap motion controller
Author/s:
  • Mantecón del Valle, Tomás
  • Blanco Adán, Carlos Roberto del
  • Jaureguizar Núñez, Fernando
  • García Santos, Narciso
Item Type: Presentation at Congress or Conference (Article)
Event Title: International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2016
Event Dates: 24/10/2016 - 27/10/2016
Event Location: Lecce, Italia
Title of Book: Proceedings of 17th International Conference Advanced Concepts for Intelligent Vision Systems (ACIVS) 2016
Date: 2016
ISBN: 978-3-319-48680-2
Subjects:
Freetext Keywords: Feature extraction, Gesture recognition, Random projections, Image classification, Near-infrared imaging
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Hand gestures are one of the main alternatives for Human- Computer Interaction. For this reason, a hand gesture recognition system using near-infrared imagery acquired by a Leap Motion sensor is proposed. The recognition system directly characterizes the hand gesture by computing a global image descriptor, called Depth Spatiograms of Quantized Patterns, without any hand segmentation stage. To deal with the high dimensionality of the image descriptor, a Compressive Sensing framework is applied, obtaining a manageable image feature vector that almost preserves the original information. Finally, the resulting reduced image descriptors are analyzed by a set of Support Vectors Machines to identify the performed gesture independently of the precise hand location in the image. Promising results have been achieved using a new hand-based near-infrared database.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of Spainproject TEC2013-48453UnspecifiedUnspecifiedUnspecified

More information

Item ID: 46527
DC Identifier: http://oa.upm.es/46527/
OAI Identifier: oai:oa.upm.es:46527
DOI: 10.1007/978-3-319-48680-2 5
Official URL: http://www.springer.com/la/book/9783319486796
Deposited by: Memoria Investigacion
Deposited on: 11 Sep 2017 18:02
Last Modified: 11 Sep 2019 22:30
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