ALEXANDRIA, Va., Feb. 17 -- United States Patent no. 12,555,666, issued on Feb. 17, was assigned to FITBOD INC. (San Francisco).

"Machine learning-based exercise recommendation adjustment based on user feedback" was invented by Allen Chen (San Francisco), Jesse Dominic Venticinque (Woodside, Calif.) and Magdalena Mellema-Morgan (Vancouver, Canada).

According to the abstract* released by the U.S. Patent & Trademark Office: "An exercise recommendation system determines workout plans for users. The exercise recommendation system trains a machine-learned model configured to rank a set of exercises, and the ranking of exercises can be modified based on feedback from a user, for instance requesting that an exercise be recommended more frequentl...