(University of California – San Diego) Computer scientists at the University of California San Diego have developed FitRec, a recommendation tool powered by deep learning, that is able to better estimate runners’ heart rates during a workout and predict and recommend routes. The team will present their work at the WWW 19 conference May 13-17 in San Francisco.
Original source: https://www.eurekalert.org/pub_releases/2019-04/uoc–adl042219.php