This inventor holds 1 USPTO granted patent. Top assignee: Huazhong University of Science and Technology. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020
Title: Innovations of Mingxuan Ni in Gesture Recognition
Introduction
Mingxuan Ni is an accomplished inventor based in Hubei, China. He has made significant contributions to the field of gesture recognition technology. His innovative approach focuses on enhancing the accuracy and versatility of recognizing gestures through advanced methods.
Latest Patents
Mingxuan Ni holds a patent for a "Method and system for CSI-based fine-grained gesture recognition." This invention provides a comprehensive method for recognizing gestures based on channel state information (CSI). The process involves determining key parameters of stroke gestures, such as start and end points, velocity, direction, and inflection points. By utilizing machine learning techniques, the strokes are divided and sequenced, allowing for the recognition of characters from finger gestures. This innovation aims to enrich the types of languages that can be recognized and improve the accuracy of gesture writing.
Career Highlights
Mingxuan Ni is affiliated with Huazhong University of Science and Technology, where he contributes to research and development in gesture recognition technologies. His work has garnered attention for its potential applications in various fields, including human-computer interaction and language processing.
Collaborations
Mingxuan Ni has collaborated with notable colleagues, including Hai Jin and Yuxi Wang. Their combined expertise has further advanced the research in gesture recognition and its practical applications.
Conclusion
Mingxuan Ni's innovative work in gesture recognition exemplifies the potential of technology to enhance communication through natural gestures. His contributions are paving the way for more intuitive and accurate interaction methods in the digital age.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile