Bellevue, WA, United States of America

James Jackson Coddington


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: James Jackson Coddington: Innovator in Computer Navigation

Introduction

James Jackson Coddington is an accomplished inventor based in Bellevue, WA (US). He has made significant contributions to the field of computer navigation, particularly through his innovative patent that enhances the way users interact with computer-navigable graphs.

Latest Patents

Coddington holds a patent titled "Navigation of computer-navigable physical feature graph." This invention facilitates navigation of a computer-navigable graph of sensed features that are gathered by recognition or estimation of one or more features of physical entities. These features are sensed over time by sensors within a physical space. The computer-navigable graph includes multiple nodes, including signal segment nodes and feature nodes. Each of the signal segment nodes evidences features represented in the feature nodes. Navigation is enhanced by identifying relationships between the corresponding signal segment nodes and other nodes of the graph. When a user navigates to these nodes, a visualization of any detected relationships is rendered, allowing for an interactive experience.

Career Highlights

Coddington is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in technology. His work focuses on improving user experiences through advanced navigation systems.

Collaborations

Throughout his career, Coddington has collaborated with notable colleagues, including Vijay Mital and Henry Hun-Li Reid Pan. These partnerships have contributed to the advancement of his projects and the development of new technologies.

Conclusion

James Jackson Coddington is a notable inventor whose work in computer navigation has the potential to transform user interactions with technology. His innovative patent reflects his commitment to enhancing the way we navigate and understand complex data structures.

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