This paper presents a real-time hand gesture recognizer based on a Learning Vector Quantization (LVQ) classi fier. The recognizer is formed by two modules. The first module, mainly composed of a data glove, performs the feature extraction. The second module, the classifi er, is performed by means of LVQ. The recognizer, tested on a dataset of 3900 hand gestures, performed by people of diff erent gender and physique, has shown very high recognition rate.

LVQ-Based Hand Gesture Recognition Using a Data Glove

CAMASTRA, Francesco
Supervision
;
2013

Abstract

This paper presents a real-time hand gesture recognizer based on a Learning Vector Quantization (LVQ) classi fier. The recognizer is formed by two modules. The first module, mainly composed of a data glove, performs the feature extraction. The second module, the classifi er, is performed by means of LVQ. The recognizer, tested on a dataset of 3900 hand gestures, performed by people of diff erent gender and physique, has shown very high recognition rate.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11367/17326
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 26
  • ???jsp.display-item.citation.isi??? ND
social impact