Company Filing History:
Years Active: 2022
Title: Chengrui Huang: Innovator in Movement Analysis Technology
Introduction
Chengrui Huang is a notable inventor based in New York, NY (US), recognized for his contributions to movement analysis technology. He holds 2 patents that focus on methods and apparatuses for analyzing user movement through accelerometer data. His innovative work has significant implications for various applications, including health and fitness monitoring.
Latest Patents
Chengrui Huang's latest patents include a "Movement Analysis Method and Apparatus" and a "Measuring Method and Device." The movement analysis patent describes a method and apparatus that receive acceleration data from an accelerometer carried by a user. This data is divided into epochs to determine whether the user is walking or running. The method optimizes the start and stop times for periods of walking or running, enhancing the accuracy of movement tracking. The measuring method patent outlines an apparatus that determines movement information for a user carrying an accelerometer. It analyzes acceleration data to identify user stride and step periods, providing valuable insights into the user's movement patterns.
Career Highlights
Chengrui Huang is currently employed at Koneksa Health Inc., where he continues to develop innovative solutions in the field of movement analysis. His work at Koneksa Health Inc. emphasizes the importance of accurate movement tracking for health applications, contributing to advancements in personal health monitoring technologies.
Collaborations
Chengrui Huang collaborates with talented professionals in his field, including Peter John Kelly and Robert David Ellis. These collaborations enhance the development of innovative technologies and foster a creative environment for research and development.
Conclusion
Chengrui Huang's contributions to movement analysis technology through his patents and work at Koneksa Health Inc. highlight his role as an influential inventor in the field. His innovative methods for analyzing user movement have the potential to significantly impact health and fitness monitoring.