This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Lenovo (Singapore) Pte. Ltd.. 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: Igor Victor Lucena Do Nascimento: Patent on Sign Language Recognition
Introduction
Igor Victor Lucena Do Nascimento is an inventor associated with Recife, Brazil. His patent work includes a system designed to recognize sign language by analyzing visual information about a person’s movements and posture.
Latest Patents
The available information lists one patent for Nascimento: “Sign Language Recognition Using Parameter Keypoints.” The system captures image data of a person performing a sign and extracts keypoints from the person’s hands, arms, trunk, and face. A parameter analyzer uses these keypoints to identify characteristics such as handshape, palm orientation, articulation point, and movement.
The system generates a description of the sign, then filters and aggregates that description into a condensed form. It queries a database of known signs using dynamic time warping and retrieves the associated word.
Career Highlights
Nascimento is associated with Lenovo (Singapore) Pte. Ltd. His listed patent demonstrates an approach to sign language recognition that combines body keypoint analysis with database matching.
Collaborations
The provided information lists Marcio Leal De Melo Dahia and Silvan Ferreira Da Silva Junior as Nascimento’s coworkers. Their names are associated with his professional context, though specific roles in the patent are not provided.
Conclusion
Igor Victor Lucena Do Nascimento’s listed patent applies computer vision and dynamic time warping to translate observed sign language into words, highlighting a technology-focused contribution to sign recognition.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
