San Diego, CA, United States of America

Vishwajith Ramesh

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vishwajith Ramesh. Retrieved from https://idiyas.com/inventor/vishwajith-ramesh

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

Calculating rank
USPTO Granted Patents = 1 

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: Vishwajith Ramesh and Pose-Based Identification of Weakness

Introduction

Vishwajith Ramesh is an inventor associated with the University of California in San Diego, California. His patent work applies video analysis and machine learning to assess weakness in bodily joints.

Latest Patents

Ramesh is associated with 1 patent: “Pose-based identification of weakness.” The invention describes a method, system, and computer program product for detecting or determining whether one or more bodily joints may be weak. It receives video recordings, extracts features corresponding to bodily joints, and uses those features to train models. 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

The patent reflects an intersection of computer vision, pose analysis, and health-related assessment. By using video-derived joint features, the approach aims to support the identification of potential weakness without relying solely on direct physical examination.

Collaborations

Ramesh’s listed coworkers include Nadir Weibel and Gert Cauwenberghs. His association with the University of California connects his work to an academic research environment.

Conclusion

Vishwajith Ramesh’s patent presents a video-based approach to identifying possible joint weakness, combining extracted movement features with trained computational models.

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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