Haonan Wen

Title: Haonan Wen: Innovator in Expression Recognition Technology

Introduction

Haonan Wen is a prominent inventor based in Yantai, China. He has made significant contributions to the field of expression recognition technology. His innovative work focuses on enhancing the accuracy of recognizing emotional states through advanced methodologies.

Latest Patents

Haonan Wen holds a patent for an "Expression recognition method and system based on multi-scale features and spatial attention." This invention relates to the technical field of expression recognition. The method involves performing feature extraction on acquired facial image data using an HNFER neural network model to obtain an original input feature map. It further includes pooling and concatenation of extracted features based on a CoordAtt attention mechanism to create a feature map. The process continues with deep convolution processing to generate an attention map, followed by element-by-element multiplication to produce a final feature map. Finally, feature transformation and normalization are applied to obtain an expression category probability, which is then outputted. This invention integrates scale perception and spatial attention technologies, allowing for more accurate recognition and classification of different emotional states, even in complex environmental conditions.

Career Highlights

Haonan Wen is affiliated with Yantai University, where he contributes to research and development in the field of expression recognition. His work has garnered attention for its innovative approach and practical applications in various industries.

Collaborations

Haonan has collaborated with notable colleagues, including Zhaowei Liu and Yongchao Song. Their combined expertise enhances the research and development efforts in their respective fields.

Conclusion

Haonan Wen's contributions to expression recognition technology exemplify the impact of innovative thinking in addressing complex challenges. His work not only advances the technical field but also opens new avenues for understanding human emotions through technology.