Catherine Elizabeth Price

Title: Catherine Elizabeth Price and a Patent for Cognitive Drawing Analysis.

Introduction

Catherine Elizabeth Price is an inventor associated with Gainesville, Florida. Her patent work describes an approach to analyzing clock-drawing tests to help classify images as indicating dementia or non-dementia.

Latest Patents

Price is listed as an inventor on 1 patent: “Relevance Factor Variation Autoencoder Architecture for Analyzing Cognitive Drawing Tests.” The disclosed method receives a dataset of clock-drawing images and uses a classifier to generate dementia or non-dementia classifications. The classifier’s weights are based on a latent space produced by a relevance factor variational autoencoder (RF-VAE). Its encoder generates the latent space, while its decoder reconstructs clock drawings. The latent dimensions are designed to represent distinct aspects of variation in the drawings while minimizing total correlation between those dimensions and two dimensions.

Career Highlights

Price is associated with the University of Florida Research Foundation, Inc. Her patent reflects work at the intersection of machine learning and cognitive assessment, applying an autoencoder architecture to visual data from clock-drawing tests.

Collaborations

The provided information identifies Sabyasachi Bandyopadhyay and Parisa Rashidi as Price’s coworkers. Their names are associated with her professional context, though the supplied details do not specify their roles in the patent.

Conclusion

Catherine Elizabeth Price’s patent describes a machine-learning approach for analyzing clock-drawing images and classifying them for dementia-related assessment, connecting her work with the University of Florida Research Foundation, Inc.