US Patent Issued to The Board of Trustees of The University of Alabama on March 31 for "Real-time, fine-resolution human intra-gait pattern recognition based on deep learning models" (Alabama Inventors)

ALEXANDRIA, Va., March 31 -- United States Patent no. 12,592,097, issued on March 31, was assigned to The Board of Trustees of The University of Alabama (Tuscaloosa, Ala.).

"Real-time, fine-resolution human intra-gait pattern recognition based on deep learning models" was invented by Fei Hu (Tuscaloosa, Ala.), Yu Gan (Tuscaloosa, Ala.), Shengting Cao (Northport, Ala.) and Xuefeng Wang (Tuscaloosa, Ala.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Described herein are methods, systems and computer-program products for intra- and inter-gait classification for both symmetric and asymmetric gait patterns using images."

The patent was filed on May 20, 2022, under Application No. 17/749,754.

*For further infor...