AIS is pleased to announce that the U.S. Patent and Trademark Office has issued another new patent in 2022, expanding the company’s intellectual property (IP) and raising its portfolio to 18 issued patents with nine currently pending.
“This team of expert researchers have developed a behavioral verification approach that outperforms current state of the art methods through deep learning; a type of machine learning that leverages artificial intelligence,” said Scott Robidoux, Chief Operating Officer at AIS. “The issuance of this patent showcases our expertise in performing cutting edge research in the pursuit of our mission to create a more secure future for our customers and nation.”
U.S. Patent No. 11,449,746: “Behavioral Biometric Feature Extraction and Verification”
Behavioral verification of user identity includes building a deep neural network for gait-based behavioral verification of user identity. The building includes receiving movement data describing movement, in multiple dimensions, of computer system(s) of user(s), the movement data including sensor data acquired from sensor(s) of the computer system(s). The building further includes performing pre-processing of the movement data to provide processed movement data for processing by a deep neural network to extract local patterns and training the deep neural network using the processed movement data. The method also includes providing the trained deep neural network for gait-based behavioral verification of user identity based on determinate vectors output from the trained deep neural network.
Invention is credited to Jacob Baldwin, Ryan Burnham, Robert Dora, Andrew Meyer and Robert Wright.
To view the complete list of AIS patents, click here.