Toronto, Canada

Adrian Balzacki

This inventor holds 1 USPTO granted patent. Top assignee: Arb Labs Inc.. Active years: 2016.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Adrian Balzacki. Retrieved from https://idiyas.com/inventor/adrian-balzacki

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


% Patents Active = 100.0

Average Co-Inventor Count = 1.0

ph-index = 1

Forward Citations = 28(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Innovations by Adrian Balzacki in Gesture Recognition Technology

Introduction

Adrian Balzacki is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of gesture recognition technology. His innovative approach focuses on identifying gestures through advanced data compression techniques.

Latest Patents

Adrian Balzacki holds a patent for a system and method that identifies gestures using gesture data compressed by Principal Component Analysis (PCA) and principal joint variable analysis. The patent describes techniques for recognizing gestures by analyzing a set of gesture data points that indicate the locations of body parts of a subject. The classifier within the gesture recognition system can determine if a subset of these data points is sufficient to recognize a specific gesture. This subset is then stored in a database for future reference. A recognizer can subsequently analyze new gesture data points from a different subject to identify if their gesture corresponds to the previously recognized gesture.

Career Highlights

Adrian Balzacki is associated with Arb Labs Inc., where he continues to develop and refine his innovative technologies. His work has positioned him as a key player in the advancement of gesture recognition systems.

Collaborations

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Conclusion

Adrian Balzacki's contributions to gesture recognition technology exemplify the impact of innovative thinking in the field of data analysis and human-computer interaction. His patent showcases the potential for advanced systems to enhance gesture recognition capabilities.

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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