| ITI əməkdaşlarının elmi işləri - tezis |
| Biblioqrafik təsvir | |
| Qurbanova , K.S. Analysis of Classifi cation and Recognition Methods of Hand Gestures Recorded with Electromyography Sensor / K.S. Qurbanova // The xii international conference on computer processing of turkic languages “TURKLANG 2024”. - , 2024. - P. 284-287. | |
| Annotasiya | |
| The article is devoted to automatic recognition of gestures, which is a necessary component of human communication and provides remote control of contactless interaction systems. Communication devices that are regularly updated and have a more user-friendly interface have expanded user capabilities. Keeping up with the scientifi c and technological development of people is a requirement of modern times. In the current era of the fourth industrial revolution, contactless controlled technological innovations await people. Automatic recognition of gestures is one of the main factors in building and improving contactless controlled systems. The article clarifi es the method of recording the parameters of the hand showing the gesture with an electromyography sensor. Recognition methods based on these parameters are analyzed. The use of hybrid methods is proposed to ensure high-accuracy recognition of gestures in real time. | |
| Elektron variant | |
| Elektron variant |
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