Company Filing History:
Years Active: 2021-2024
Title: Shijie Zhao: Innovator in Hand Gesture Recognition Technology
Introduction
Shijie Zhao is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of hand gesture recognition technology. With a total of 3 patents, Zhao's work focuses on enhancing the accuracy and efficiency of gesture recognition systems.
Latest Patents
Zhao's latest patents include innovative methods and devices for hand key point recognition. One of his notable patents is a "Hand key point recognition model training method." This method involves converting a sample virtual image into an emulation image using a Cycle-GAN model. The emulation image is designed to replicate images acquired in real scenarios, allowing for the extraction of hand images and training of a hand key-point recognition model. This model outputs hand key-point coordinates from real images based on the input provided.
Another significant patent is the "Gesture movement recognition method, apparatus, and device." This invention outlines a comprehensive approach to recognizing gesture movements by acquiring and analyzing gesture images. The method includes recognizing angles of finger segments and calculating angular changes to determine gesture movements accurately.
Career Highlights
Shijie Zhao has worked with notable companies, including Tencent Technology (Shenzhen) Company Limited and Tencent Technology Company Limited. His experience in these organizations has allowed him to develop and refine his expertise in gesture recognition technology.
Collaborations
Zhao has collaborated with talented individuals in the field, including Feng Li and Xiaoxiang Zuo. These collaborations have contributed to the advancement of his innovative projects and patents.
Conclusion
Shijie Zhao is a key figure in the development of hand gesture recognition technology. His innovative patents and career achievements reflect his dedication to advancing this field. His work continues to influence the way we interact with technology through gesture recognition.