Trento, Italy

Sergey Tulyakov

This inventor holds 1 USPTO granted patent. Top assignees: Fondazione Bruno Kessler, The State University of New York, Università Degli Studi Di Trento. Active years: 2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sergey Tulyakov. Retrieved from https://idiyas.com/inventor/sergey-tulyakov-pbdohi6q

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 = 6.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Innovations in Heart Rate Estimation by Sergey Tulyakov

Introduction

Sergey Tulyakov is an innovative inventor based in Trento, Italy. He has made significant contributions to the field of computer vision, particularly in the area of heart rate estimation from facial videos. His work addresses the challenges of accurately estimating heart rates under realistic conditions, which has important implications for health monitoring and wearable technology.

Latest Patents

Tulyakov holds a patent for a groundbreaking invention titled "Self-adaptive matrix completion for heart rate estimation from face videos under realistic conditions." This patent highlights his research into utilizing subtle skin color changes due to blood flow, which can be captured in face videos to estimate heart rates. His approach improves upon existing methods by dynamically selecting the most relevant regions of the face for robust heart rate estimation, thereby enhancing accuracy in natural conditions.

Career Highlights

Throughout his career, Tulyakov has worked with esteemed institutions such as the University of Trento and Fondazione Bruno Kessler. His research has been recognized for its innovative approach and practical applications in health technology. He has contributed to the advancement of methodologies that leverage computer vision for real-world applications.

Collaborations

Tulyakov has collaborated with notable researchers in his field, including Niculae Sebe and Xavier Alameda-Pineda. These collaborations have further enriched his research and contributed to the development of effective solutions in heart rate estimation.

Conclusion

Sergey Tulyakov's work exemplifies the intersection of technology and health, showcasing how innovations in computer vision can lead to practical applications in monitoring vital signs. His contributions continue to pave the way for advancements in this important field.

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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