Brooklyn, NY, United States of America

Bijan Treister

This inventor holds 1 USPTO granted patent. Top assignee: Meta Platforms Technologies, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bijan Treister. Retrieved from https://idiyas.com/inventor/bijan-treister-9qct1g2e

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Bijan Treister and Power-Efficient Neuromuscular Signal Processing.

Introduction

Bijan Treister is an inventor based in Brooklyn, New York. His patent work concerns efficient processing of neuromuscular signals to recognize hand gestures and trigger responsive actions.

Latest Patents

Treister is associated with 1 patent: “Power-Efficient Processing of Neuromuscular Signals to Confirm Occurrences of User Gestures, and Systems and Methods of Use Thereof.” The invention describes a two-stage approach to gesture recognition. A low-power detector first evaluates neuromuscular signals and identifies when further analysis may be needed. A high-power detector then processes those signals to confirm a specified in-air hand gesture. For another predetermined gesture, the system can use the low-power detector alone and perform an action in response.

Career Highlights

Treister’s listed company affiliation is Meta Platforms Technologies, LLC. His patent focuses on reducing the power required to interpret neuromuscular signals while supporting gesture-based interaction.

Collaborations

His listed coworkers include Alexandre Barachant and Shan Chu.

Conclusion

Bijan Treister’s patent describes a power-conscious method for recognizing hand gestures from neuromuscular signals, combining low-power detection with more intensive processing when confirmation is needed.

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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