US Patent Issued to University of Southern California on Aug. 12 for "Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks" (California Inventors)

ALEXANDRIA, Va., Aug. 12 -- United States Patent no. 12,383,162, issued on Aug. 12, was assigned to University of Southern California (Los Angeles).

"Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks" was invented by Negar Golestani (Los Angeles) and Mahta Moghaddam (Los Angeles).

According to the abstract* released by the U.S. Patent & Trademark Office: "A human activity recognition system includes a receiver coil mounted on a subject and a plurality of transmitter coils mounted on the subject at different locations than the receiver coil and each other. Each transmitter coil is inductively coupled to the receiver coil. A data processing system is in electrical communication with ...