Calgary, Canada

Chun Hing Cheng

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2017-2025

Loading Chart...
Loading Chart...
5 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Chun Hing Cheng

Introduction

Chun Hing Cheng is a notable inventor based in Calgary, Canada. He has made significant contributions to the field of activity classification through his innovative patents. With a total of 5 patents, Cheng's work focuses on utilizing advanced technology to enhance the understanding of physical activities.

Latest Patents

One of Cheng's latest patents is a method and system for activity classification. This invention involves a pressure sensor that receives input data resulting from the physical activity of a subject. The input data includes pressure data from at least one pressure sensor and may also incorporate data from other types of sensors. A deep learning neural network is applied to this input data to identify the activity being performed. The neural network is trained using reference data from a training database, which may include empirical data, synthesized data, or simulated data. This innovative approach allows for a more accurate classification of activities based on the monitored physical actions of the subject.

Career Highlights

Cheng has worked with several prominent organizations, including Orpyx Medical Technologies, Inc. and the Mayo Foundation for Medical Education and Research. His experience in these institutions has contributed to his expertise in the field of activity classification and sensor technology.

Collaborations

Cheng has collaborated with notable individuals in his field, including Michael Todd Purdy and Travis Michael Stevens. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Chun Hing Cheng's innovative contributions to activity classification demonstrate his commitment to advancing technology in this area. His patents reflect a deep understanding of sensor technology and machine learning, paving the way for future developments in the field.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…