Pietenfeld, Germany

Michael Morgott

This inventor holds 1 USPTO granted patent. Top assignee: Audi Ag. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Morgott. Retrieved from https://idiyas.com/inventor/michael-morgott

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Michael Morgott: Innovator in Gesture Recognition Technology

Introduction

Michael Morgott is a notable inventor based in Pietenfeld, Germany. He has made significant contributions to the field of gesture recognition technology. His innovative approach combines machine learning with sensor data to enhance user interaction through gestures.

Latest Patents

Morgott holds a patent for a "Method and device for automatic gesture recognition." This invention involves a method where a machine learner processes data from various gestures executed by a user. The gestures are captured by at least one sensor, and the machine learner assigns these gestures to predetermined classes. The training data set used for this process is divided into specific data segments, which are crucial for the accurate recognition of gestures.

Career Highlights

Michael Morgott is currently employed at Audi AG, where he applies his expertise in developing advanced technologies. His work focuses on integrating innovative solutions into automotive systems, enhancing user experience through gesture recognition.

Collaborations

Morgott collaborates with talented colleagues, including Michael Schlittenbauer and Torsten Schön. Together, they work on projects that push the boundaries of technology and improve user interaction in various applications.

Conclusion

Michael Morgott's contributions to gesture recognition technology exemplify the intersection of innovation and practical application. His work continues to influence advancements in user interface design and interaction.

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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