This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Snap Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Levente Torok: Innovator in Hybrid Pinch Detection Technology
Introduction
Levente Torok is a notable inventor based in Vienna, Austria. He has made significant contributions to the field of technology, particularly in the area of gesture detection. His innovative work has led to the development of a unique patent that enhances user interaction with devices.
Latest Patents
Levente Torok holds a patent for "Hybrid pinch detection with multi-input source." This technology receives a set of inputs from multiple input sources and determines a set of input features based on these inputs. It performs a time window-based aggregation on the input features to generate aggregated features. The technology then utilizes a modular classifier network for feature extraction, resulting in a set of extracted features. A pinch detection head generates a probability score indicating the likelihood of a pinch gesture occurring based on these extracted features. Finally, the technology determines whether a pinch gesture has occurred using triggering logic, providing a pinch detection output based on this determination. Levente has 1 patent to his name.
Career Highlights
Levente Torok is currently employed at Snap Inc., where he continues to innovate and develop cutting-edge technologies. His work at Snap Inc. has positioned him as a key player in the advancement of gesture recognition technology.
Collaborations
Levente collaborates with talented individuals such as Daniel Voros and David Retek, contributing to a dynamic and innovative work environment.
Conclusion
Levente Torok's contributions to hybrid pinch detection technology exemplify his commitment to innovation. His work not only enhances user interaction but also sets a foundation for future advancements in gesture recognition.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
