Atlanta, GA, United States of America

Kenneth A Cunnefare

This inventor holds 1 USPTO granted patent. Top assignee: Georgia Tech Research Corporation. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kenneth A Cunnefare. Retrieved from https://idiyas.com/inventor/kenneth-a-cunnefare

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


% Patents Active = 100.0

Average Co-Inventor Count = 11.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations of Kenneth A Cunnefare

Introduction

Kenneth A Cunnefare is an accomplished inventor based in Atlanta, GA. He has made significant contributions to the field of gesture recognition technology. His innovative work has led to the development of a unique patent that enhances user interaction with wearable devices.

Latest Patents

Kenneth holds a patent for "Systems, methods and devices for gesture recognition." This patent describes a method that includes receiving sound data captured by a wearable device, which indicates contact between different portions of the user. Additionally, it involves receiving motion data that reflects the movement of the user while wearing the device. A processor then determines user input based on both sound and motion data, facilitating a more intuitive interaction with the wearable technology.

Career Highlights

Kenneth A Cunnefare is associated with the Georgia Tech Research Corporation, where he continues to explore advancements in technology. His work focuses on improving the functionality and user experience of wearable devices through innovative gesture recognition systems.

Collaborations

Throughout his career, Kenneth has collaborated with notable colleagues, including Cheng Zhang and Gregory D Abowd. These partnerships have contributed to the development of cutting-edge technologies in the field of gesture recognition.

Conclusion

Kenneth A Cunnefare's contributions to gesture recognition technology exemplify the innovative spirit of modern inventors. His work not only enhances user interaction with wearable devices but also paves the way for future advancements in the field.

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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