Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
AIP Advances, Год журнала: 2025, Номер 15(3)
Опубликована: Март 1, 2025
The recognition of hand gestures involves the application mathematical algorithms to detect human movements, with diverse applications in communication for hearing impaired, human–computer interaction, autonomous driving, and virtual environments. This research presents a comprehensive approach identifying dynamic gestures, which is particularly beneficial individuals finger disabilities. In addition, those tremors may encounter challenges when using interaction devices. proposed technique enhances sensitivity these devices through an advanced Otsu segmentation method. It begins by isolating from complex backgrounds this sophisticated algorithm incorporates motion data derived RGB video sequences. are then transformed into texture contour characteristics, subsequently input hybrid architecture that combines convolutional neural network (CNN) recurrent (RNN). Our findings demonstrate method achieves superior results existing alternatives can joint interactions high sensitivity. When comparing traditional our method, indicate improvement 6.3% accuracy CNN RNN classifiers. performance novel has been evaluated compared metrics, yielding significant results.
Язык: Английский
Процитировано
0Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Год журнала: 2024, Номер 16(4)
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
2The European Physical Journal Plus, Год журнала: 2024, Номер 139(6)
Опубликована: Июнь 27, 2024
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
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