Qin Chen

Title: Innovations of Qin Chen in Line-of-Sight Estimation Neural Networks

Introduction

Qin Chen is a notable inventor based in Chongqing, China. He has made significant contributions to the field of neural networks, particularly in the area of line-of-sight estimation. His innovative approach has led to advancements in the stability and efficiency of neural network training.

Latest Patents

Qin Chen holds a patent for a "Quantitative analysis method and system for attention based on line-of-sight estimation neural network." This patent introduces a quantitative method that enhances the stability and training efficiency of line-of-sight estimation neural networks. The method employs a few-sample learning technique, which improves the generalization performance of the neural network. Additionally, it incorporates a nonlinear division method for small angles, reducing estimation errors. The system also includes eye opening and closing detection to mitigate errors caused by eye closure. Furthermore, it provides a method for determining the landing point of the line of sight, ensuring high adaptability in various environments.

Career Highlights

Qin Chen has worked with several prestigious institutions, including Chongqing University, Star Institute of Intelligent Systems, and the University of Electronic Science and Technology of China. He has also been associated with Db (Chongqing) Intelligent Technology Research Institute Co., Ltd. His diverse experience has enriched his expertise in intelligent systems and neural networks.

Collaborations

Qin Chen has collaborated with notable colleagues such as Yongduan Song and Feng Yang. Their joint efforts have contributed to the advancement of research in intelligent systems and neural networks.

Conclusion

Qin Chen's innovative work in line-of-sight estimation neural networks showcases his commitment to enhancing technology in this field. His contributions are paving the way for more efficient and adaptable systems in various applications.