Alberto Chaves Rezende Neto

Title: Alberto Chaves Rezende Neto: Patent Work in Sign Language Recognition

Introduction

Alberto Chaves Rezende Neto is an inventor associated with Recife, Brazil, and Lenovo (Singapore) Pte. Ltd. His patent work includes a system designed to recognize sign language from visual data.

Latest Patents

The provided information lists one patent for Rezende Neto: “Sign Language Recognition Using Parameter Keypoints.” The system captures images of a person signing and extracts keypoints from the person’s hands, arms, trunk, and face. A parameter analyzer uses these keypoints to identify sign characteristics, including handshape, palm orientation, articulation point, and movement.

The system generates a description of the sign, then filters and aggregates it into a condensed description. It queries a database of known signs using dynamic time warping and retrieves the associated word. This approach combines visual keypoint analysis with sequence matching to support sign recognition.

Career Highlights

Rezende Neto’s listed patent activity focuses on applying image analysis and algorithmic matching to sign language recognition. The provided information associates him with Lenovo (Singapore) Pte. Ltd.

Collaborations

The listed coworkers are Marcio Leal De Melo Dahia and Silvan Ferreira Da Silva Junior. Their names are provided as professional associations, though specific roles in the patent work are not stated.

Conclusion

Alberto Chaves Rezende Neto’s listed invention uses keypoint analysis and dynamic time warping to translate visual descriptions of signs into associated words, reflecting a practical application of computing to sign language recognition.