San Diego, CA, United States of America

Kunal Agrawal

This inventor holds 1 USPTO granted patent. Top assignee: University of California. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kunal Agrawal. Retrieved from https://idiyas.com/inventor/kunal-agrawal-8dy49o81

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Kunal Agrawal and Pose-Based Identification of Weakness

Introduction

Kunal Agrawal is an inventor based in San Diego, California. His work includes a patent for using video and machine-learning models to identify potential weakness in bodily joints.

Latest Patents

Agrawal is associated with 1 patent, titled “Pose-Based Identification of Weakness.” The invention describes a method, system, and computer program product for detecting or determining whether weakness is present in one or more of a subject’s bodily joints.

The approach receives video recordings of subjects and extracts features corresponding to their bodily joints. It uses those features to train one or more models to identify weakness. The trained model is then applied to a video of a subject to determine whether weakness is present in one or more joints.

Career Highlights

Agrawal is associated with the University of California. His patent describes an application of video analysis and trained models to assess bodily movement and joint weakness.

Collaborations

The listed coworkers associated with Agrawal include Vishwajith Ramesh and Nadir Weibel.

Conclusion

Kunal Agrawal’s patent presents a video-based approach to identifying potential joint weakness, connecting machine-learning methods with the analysis of human movement.

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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