Uyghur Sign Language Recognition Based on Improved YOLOv7.

Sign language is an important way for deaf-mutes to communicate, and sign language recognition plays an important role in solving the communication problems between able-bodied people and deaf-mutes. In order to help them communicate better with others and gradually switch to universal sign language, this paper proposes a design of Uyghur sign language recognition system based on the improved YOLOv7. Through the self-made 2568 Uyghur sign language datasets, a total of 35 categories such as 'time', 'you', 'morning', etc. were involved. In terms of network improvement, the backbone network is improved, and the improved convolution structure of SimAM attention + PConv is used; Second, replace the EIoU loss function. The sign language recognition model used in this paper has achieved significant improvement in Uyghur sign language recognition, which fully demonstrates its potential for in-depth research and wide application. [ABSTRACT FROM AUTHOR]