LVQ-Based Hand Gesture Recognition Using a Data Glove

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

[1]  Tin Kam Ho,et al.  Recognition of handwritten digits by combining independent learning vector quantizations , 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

[2]  M. V. Velzen,et al.  Self-organizing maps , 2007 .

[3]  Achilleas Zapranis,et al.  Identification of the Head-and-Shoulders Technical Analysis Pattern with Neural Networks , 2010, ICANN.

[4]  Alexander J. Smola,et al.  Learning with kernels , 1998 .

[5]  Dhinaharan Nagamalai,et al.  Advanced Computing , 2011 .

[6]  Jorma Laaksonen,et al.  LVQ_PAK: The Learning Vector Quantization Program Package , 1996 .

[7]  Koby Crammer,et al.  Margin Analysis of the LVQ Algorithm , 2002, NIPS.

[8]  Teuvo Kohonen,et al.  Learning vector quantization , 1998 .

[9]  Patrycja Ciosek,et al.  The analysis of sensor array data with various pattern recognition techniques , 2006 .

[10]  Paolo Dario,et al.  A Survey of Glove-Based Systems and Their Applications , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[11]  M. Stone.  Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .

[12]  Francesco Camastra,et al.  Cursive character recognition by learning vector quantization , 2001, Pattern Recognit. Lett..

[13]  M. Stone,et al.  Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .

[14]  Christopher K. I. Williams.  Learning Kernel Classifiers , 2003 .

[15]  Philippe Coiffet,et al.  Virtual Reality Technology , 2003, Presence: Teleoperators & Virtual Environments.

[16]  Ankit Chaudhary,et al.  A Survey on Hand Gesture Recognition in Context of Soft Computing , 2011 .

[17]  Nello Cristianini,et al.  Kernel Methods for Pattern Analysis , 2004 .

[18]  Adam Kendon,et al.  How gestures can become like words , 1988 .

[19]  Ralf Salomon,et al.  Gesture recognition for virtual reality applications using data gloves and neural networks , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

[20]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[21]  Shigeo Abe DrEng.  Pattern Classification , 2001, Springer London.

[22]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[23]  Lazaros S. Iliadis,et al.  Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I , 2010, International Conference on Artificial Neural Networks.

[24]  Mohammed Bahoura,et al.  Automatic recognition of fin and blue whale calls for real-time monitoring in the St. Lawrence. , 2009, The Journal of the Acoustical Society of America.

[25]  Eric R. Ziegel,et al.  The Elements of Statistical Learning , 2003, Technometrics.

[26]  David G. Stork,et al.  Pattern Classification , 1973 .