Shavertown, PA, United States of America

Dave Vorozilchak

This inventor holds 1 USPTO granted patent. Top assignee: Alive Fitness LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dave Vorozilchak. Retrieved from https://idiyas.com/inventor/dave-vorozilchak

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

Calculating rank

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: Dave Vorozilchak: Exercise Recognition and Analysis

Introduction

Dave Vorozilchak is an inventor associated with Shavertown, Pennsylvania, and Alive Fitness LLC. His patent work addresses technology for guiding exercise routines and analyzing a user’s performance.

Latest Patents

Vorozilchak is associated with 1 patent, titled “Methods and Systems for Exercise Recognition and Analysis.” The invention provides users with guided exercise routines and digital and audio instructions. Motion sensors worn by the user collect movement data during exercise, which the system uses to identify repetitions and calculate a performance score. A neural network trained with feedback from expert reviewers helps assess performance, and the score is displayed to the user.

Career Highlights

The patent reflects an application of motion sensing and machine learning to exercise guidance and performance analysis. Vorozilchak is associated with Alive Fitness LLC.

Collaborations

The provided information lists Steven R. Wehba and Douglas S. Levin as Vorozilchak’s coworkers. Their specific roles in the patent or related work are not specified.

Conclusion

Dave Vorozilchak’s patent describes a system that combines guided routines, wearable motion sensors, and neural-network analysis to help users track exercise performance.

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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