Mountain View, CA, United States of America

Matthias R Hohmann

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Apple Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthias R Hohmann. Retrieved from https://idiyas.com/inventor/matthias-r-hohmann

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Matthias R Hohmann

Introduction

Matthias R Hohmann is an accomplished inventor based in Mountain View, CA (US). He has made significant contributions to the field of biosignal visualization through innovative methods that leverage machine learning. His work is particularly relevant in the context of health technology and user interaction.

Latest Patents

Hohmann holds a patent for the "Visualization of biosignals using machine-learning generated content." This patent describes a method that includes receiving biosignal data measured from a user, encoding the biosignal data into a vector, and generating an image based on the vector using a generative model. The generated image is then provided for display, showcasing the potential of machine learning in interpreting complex biological data. He has 1 patent to his name.

Career Highlights

Matthias R Hohmann is currently employed at Apple Inc., where he continues to push the boundaries of technology and innovation. His work at Apple reflects the company's commitment to integrating advanced technologies into user-friendly applications.

Collaborations

Hohmann collaborates with talented individuals such as Hanlin Goh and Helen Y Weng, contributing to a dynamic team focused on advancing technology in meaningful ways.

Conclusion

Matthias R Hohmann's innovative approach to biosignal visualization exemplifies the intersection of technology and health. His contributions are paving 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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