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
;
2013-01-01
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:
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