Hand gesture recognition based on morphologic features

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/27278
Información del item - Informació de l'item - Item information
Title: Hand gesture recognition based on morphologic features
Authors: Flórez-Revuelta, Francisco | García-Chamizo, Juan Manuel | Ibarra Picó, Francisco
Research Group/s: Informática Industrial y Redes de Computadores | Domótica y Ambientes Inteligentes | Tecnología Informática Avanzada - Seguridad Legal
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Hand gesture recognition | Morphologic coefficient | Growing neural networks | Self-organising networks
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: May-2001
Abstract: In this paper, we try to characterize the hand posture by means of the morpho-logic coefficient, measure that allows to determine its morphology, in order to later perform its classification by means of an artificial neural network model, the Growing Cell Structure. The monitoring of the neurons that are activated for the successive postures that the hand takes throughout the time allows us to determine the gesture that is being made. Finally, we present the results of experiments with a vocabulary of 7 gestures, in order to verify the efficiency of this method of classification and extraction of characteristics.
Description: Comunicación presentada en el IX Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, Benicàssim, Mayo, 2001.
URI: http://hdl.handle.net/10045/27278
Language: spa
Type: info:eu-repo/semantics/conferenceObject
Rights: Licencia Creative Commons Reconocimiento-NoComercial-SinObraDerivada 3.0
Peer Review: si
Appears in Collections:INV - DAI - Comunicaciones a Congresos, Conferencias, etc.
INV - TIA-SL - Comunicaciones a Congresos, Conferencias, etc.

Files in This Item:
Files in This Item:
File Description SizeFormat 
Thumbnailsnrfai2001.pdf311,46 kBAdobe PDFOpen Preview


This item is licensed under a Creative Commons License Creative Commons