This inventor holds 11 USPTO granted patents and 59 published patent applications. Top assignee: Nec Corporation. Active years: 2023-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2026
Title: Innovations of Zhenwei Wang
Introduction
Zhenwei Wang is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of identification technology, holding a total of six patents. His work focuses on innovative methods for identifying individuals based on their unique walking patterns.
Latest Patents
Wang's latest patents include an identification device, identification system, identification method, and program recording medium that utilize a user's walking waveform for identification. This device is designed to identify individuals based on their gait, regardless of the type of footwear they are wearing. It comprises a detection unit that identifies walking events based on the user's walking waveform, a waveform processing unit that normalizes this waveform, and an identification unit that uses the normalized waveform for user identification. Another notable patent is a module management system that allows a mobile terminal to acquire a user's schedule and manage the transmission of sensing information detected by a sensor based on that schedule.
Career Highlights
Zhenwei Wang is currently employed at NEC Corporation, where he continues to develop innovative technologies. His work has been instrumental in advancing identification systems that enhance security and user experience.
Collaborations
Wang collaborates with talented individuals such as Chenhui Huang and Kenichiro Fukushi, contributing to a dynamic and innovative work environment.
Conclusion
Zhenwei Wang's contributions to identification technology through his patents and work at NEC Corporation highlight his role as a leading inventor in this field. His innovative approaches to user identification based on walking patterns are paving the way for future advancements in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
