Istanbul, Turkey

Cagla Cig Karaman

This inventor holds 1 USPTO granted patent. Top assignee: Koç Üniversitesi. Active years: 2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Cagla Cig Karaman. Retrieved from https://idiyas.com/inventor/cagla-cig-karaman

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 = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Cagla Cig Karaman: Innovator in Gaze-Based Technology

Introduction

Cagla Cig Karaman is a prominent inventor based in Istanbul, Turkey. She has made significant contributions to the field of gaze-based technology, showcasing her innovative spirit and dedication to advancing user interaction with technology.

Latest Patents

Cagla Cig Karaman holds a patent for a "Gaze Based Prediction Device and Method." This device is designed to predict the tasks intended to be performed by the user. It includes at least one computer peripheral device that facilitates the movement of a cursor displayed on a visual display. The device is adept at collecting physical movement information from the user, enhancing the overall user experience.

Career Highlights

Cagla Cig Karaman is affiliated with Koç Üniversitesi, a prestigious university in Turkey. Her work at the university allows her to engage in cutting-edge research and development in her field.

Collaborations

One of her notable collaborators is Tevfik Metin Sezgin, with whom she has worked on various projects related to gaze-based technology.

Conclusion

Cagla Cig Karaman is a trailblazer in the realm of gaze-based technology, with her innovative patent reflecting her commitment to enhancing user interaction. Her contributions continue to inspire advancements in this exciting 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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