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EnglishThis 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.
http://hdl.handle.net/11367/17326| Titolo: | LVQ-Based Hand Gesture Recognition Using a Data Glove |
| Autori interni: | CAMASTRA, Francesco |
| Data di pubblicazione: | 2013 |
| Rivista: | SMART INNOVATION, SYSTEMS AND TECHNOLOGIES |
| 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. |
| Handle: | http://hdl.handle.net/11367/17326 |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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