Hang Su

Title: Innovations of Hang Su in Expression Recognition and Human-Robot Collaboration

Introduction

Hang Su is an accomplished inventor based in Yantai, China. He has made significant contributions to the fields of expression recognition and human-robot collaboration. With a total of two patents to his name, his work focuses on enhancing the interaction between humans and machines through advanced technologies.

Latest Patents

Hang Su's latest patents include an "Expression recognition method and system based on multi-scale features and spatial attention." This invention relates to the technical field of expression recognition, utilizing an HNFER neural network model for feature extraction from facial image data. The method enhances the accuracy of recognizing and classifying emotional states, even in complex environments. His second patent, titled "Human-robot collaboration method based on multi-scale graph convolutional neural network," outlines a process for predicting human behaviors in collaborative scenarios. This method enables robots to interact intelligently with humans by understanding their actions and intents.

Career Highlights

Hang Su is affiliated with Yantai University, where he contributes to research and development in innovative technologies. His work has garnered attention for its practical applications in real-world scenarios, particularly in improving human-robot interactions.

Collaborations

Hang Su collaborates with notable colleagues, including Zhaowei Liu and Yongchao Song, who contribute to his research endeavors. Their combined expertise enhances the development of cutting-edge technologies in their respective fields.

Conclusion

Hang Su's innovative patents and research at Yantai University highlight his significant contributions to expression recognition and human-robot collaboration. His work continues to pave the way for advancements in technology that improve human-machine interactions.