Shenzhen, China

Xiaochen Wang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Xiaochen Wang in Artificial Intelligence Technologies.

Introduction

Xiaochen Wang is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of artificial intelligence, particularly in the development of innovative methods for touch technology. His work focuses on enhancing user interaction through advanced identification techniques.

Latest Patents

Xiaochen Wang holds a patent for a "Knuckle operation identification method and electronic device." This invention relates to artificial intelligence technologies and provides a method for identifying knuckle operations on touch panels. The application describes how different touch regions can produce varying acceleration signals when a knuckle interacts with a touch panel. By extracting touch and acceleration features, the invention determines contact areas and locations, improving the accuracy of touch recognition. A capacitor binary classification model is utilized to extract a confidence score, which indicates the correlation to a knuckle. The fusion of these features leads to enhanced classification results.

Career Highlights

Xiaochen Wang is currently employed at Honor Device Co., Ltd., where he continues to innovate in the field of technology. His work has positioned him as a key player in the development of user-friendly electronic devices that leverage artificial intelligence.

Collaborations

Xiaochen collaborates with talented coworkers, including Cheng Zhang and Nuliang Wan. Their combined expertise contributes to the advancement of innovative technologies within their organization.

Conclusion

Xiaochen Wang's contributions to artificial intelligence and touch technology exemplify the impact of innovation in enhancing user experiences. His patent on knuckle operation identification showcases the potential of advanced identification methods in electronic devices.

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