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印度手语的高级手势识别使用YOLOv10与Swin Transformer模型的协同作用组合

Umang Rastogi1,2, Rajendra Prasad Mahapatra3, Sushil Kumar4

  • 1Department of Computer Science and Engineering, SRM Institute Science and Technology Delhi-NCR Campus, Delhi-Meerut Road, Ghaziabad, 201204, Uttar Pradesh, India. rastogi225103@gmail.com.

Scientific reports
|September 25, 2025
PubMed
概括

本研究介绍了使用YOLOv10-ST模型的实时印度手语识别 (ISLR) 系统. 该框架在识别静态和动态符号方面取得了很高的准确性,改善了聋个体的沟通.

关键词:
深度学习是一种深度学习.印度手语是印度手语.印度手语识别系统印度手语识别系统这就是YOLOv10的意义.在YOLOv10-ST中使用YOLOv10-ST

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