Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
AIP Advances, Journal Year: 2025, Volume and Issue: 15(3)
Published: March 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.
Language: Английский
Citations
0Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, Journal Year: 2024, Volume and Issue: 16(4)
Published: Oct. 1, 2024
Language: Английский
Citations
2The European Physical Journal Plus, Journal Year: 2024, Volume and Issue: 139(6)
Published: June 27, 2024
Language: Английский
Citations
0Published: Jan. 1, 2024
Language: Английский
Citations
0