Lynnfield, MA, United States of America

Xiaofei Huang

This inventor holds 3 USPTO granted patents and 3 published patent applications. Top assignees: Northeastern University, University of Pittsburgh, Upmc. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaofei Huang. Retrieved from https://idiyas.com/inventor/xiaofei-huang-0rcc8kwm

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 3 

% Patents Active = 66.7

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2025-2026

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3 patents (USPTO):Explore Patents

Title: Innovations of Xiaofei Huang

Introduction

Xiaofei Huang is an accomplished inventor based in Lynnfield, MA (US). He has made significant contributions to the field of neurofeedback and infant pose estimation, holding a total of 3 patents. His work focuses on utilizing advanced technologies to address mental health issues and improve infant monitoring.

Latest Patents

One of his latest patents is titled "System and method for providing neurofeedback from steady-state visual evoked potentials to target affect-biased attention for treating therapeutic outcomes such as anxiety and depression." This neurofeedback system includes an EEG apparatus, a presentation apparatus, and a controller. The controller is designed to display an overlaid image to the user, which consists of a first image flickering at a specific frequency and a second image flickering at a different frequency. The first image serves as an affective distractor stimulus, while the second image is task-relevant. The system also receives signals from the EEG apparatus to calculate feedback on the user's attention allocation.

Another notable patent is the "Infant 2D pose estimation and posture detection system." This invention employs image analysis and artificial intelligence to estimate an infant's pose. A classifier is trained using a dataset that combines synthetic and real infant pose data. The system utilizes multi-stage invariant representation machine learning strategies to enhance the accuracy of infant pose estimation.

Career Highlights

Xiaofei Huang has worked at prestigious institutions such as Northeastern University and the University of Pittsburgh. His research has significantly advanced the understanding of neurofeedback and infant monitoring technologies.

Collaborations

He has collaborated with notable colleagues, including Shuangjun Liu and Nihang Fu, contributing to various innovative projects in his field.

Conclusion

Xiaofei Huang's work exemplifies the intersection of technology and healthcare, showcasing his commitment to improving therapeutic outcomes and infant care. His patents reflect a dedication to innovation that addresses real-world challenges.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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