Beijing, China

Yanqing Xiao


Average Co-Inventor Count = 4.4

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Innovations by Yanqing Xiao

Introduction

Yanqing Xiao is a notable inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in anomaly detection and rehabilitation training methods. With a total of 2 patents, his work showcases innovative approaches to solving complex problems.

Latest Patents

Yanqing Xiao's latest patents include an "Anomaly monitoring method and apparatus for timing data" and an "Immersive ankle rehabilitation training method and electronic apparatus based on upper limb motion signals." The anomaly detection method for time series data involves obtaining multiple pieces of feature information, generating a target feature combination, and performing anomaly result detection based on that combination. The immersive ankle rehabilitation training method utilizes a hybrid model of Regression LSTM corrected by a sliding window-based voting algorithm to predict wrist joint angles through wearable EMG sensors. This method also incorporates virtual reality training scenes for users to enhance their rehabilitation experience.

Career Highlights

Throughout his career, Yanqing Xiao has worked with esteemed organizations such as Beihang University and Jingdong City Digits Technology Co., Ltd. His experience in these institutions has allowed him to develop and refine his innovative ideas.

Collaborations

Yanqing has collaborated with notable individuals in his field, including Yang Gao and Jia Zheng. Their combined expertise has contributed to the advancement of technology in their respective areas.

Conclusion

Yanqing Xiao's contributions to technology through his patents and collaborations highlight his innovative spirit and dedication to improving rehabilitation methods and anomaly detection. His work continues to inspire advancements in these fields.

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