Development of a hand-gesture recognition system for human-computer interaction

Maqueda Nieto, Ana I. (2014). Development of a hand-gesture recognition system for human-computer interaction. Proyecto Fin de Carrera / Trabajo Fin de Grado, E.T.S.I. Telecomunicación (UPM).

Description

Title: Development of a hand-gesture recognition system for human-computer interaction
Author/s:
  • Maqueda Nieto, Ana I.
Contributor/s:
  • Blanco Adán, Carlos Roberto del
Item Type: Final Project
Date: 23 September 2014
Subjects:
Freetext Keywords: Recognition, gestures, hands, image descriptor, video descriptor, patterns, segmentation, spatio-temporal, LBP, SVM
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
UPM's Research Group: Tratamiento de Imágenes GTI
Creative Commons Licenses: Recognition

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (5MB) | Preview

Abstract

The aim of this Master Thesis is the analysis, design and development of a robust and reliable Human-Computer Interaction interface, based on visual hand-gesture recognition. The implementation of the required functions is oriented to the simulation of a classical hardware interaction device: the mouse, by recognizing a specific hand-gesture vocabulary in color video sequences. For this purpose, a prototype of a hand-gesture recognition system has been designed and implemented, which is composed of three stages: detection, tracking and recognition. This system is based on machine learning methods and pattern recognition techniques, which have been integrated together with other image processing approaches to get a high recognition accuracy and a low computational cost. Regarding pattern recongition techniques, several algorithms and strategies have been designed and implemented, which are applicable to color images and video sequences. The design of these algorithms has the purpose of extracting spatial and spatio-temporal features from static and dynamic hand gestures, in order to identify them in a robust and reliable way. Finally, a visual database containing the necessary vocabulary of gestures for interacting with the computer has been created.

More information

Item ID: 41394
DC Identifier: http://oa.upm.es/41394/
OAI Identifier: oai:oa.upm.es:41394
Deposited by: Ana I. Maqueda
Deposited on: 16 Jun 2016 07:02
Last Modified: 16 Jun 2016 07:02
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM