Patents Assigned to MAYNOOTH UNIVERSITY
  • Patent number: 11690535
    Abstract: A mobile music listening device synchronizing in a personalized way music and movement, and dedicated to improving the kinematics of the runner. Thanks to inertial units connected to a smartphone, the runner's steps are detected in real time by the mobile application. A dedicated algorithm adapts the pulsation of the musical excerpts in such a way as to bring the runner to a suitable cadence, capable of preventing injuries. A method for the synchronization of the rhythmic stimulation with the biological variability using a Kuramoto model characterized in that phase oscillator with a coupling term from the movement dynamics with parameters of, coupling strength, maximum and minimum frequencies for a fraction of the unmodified song frequency, maximum difference between the tempo and target frequency, Target the target frequency.
    Type: Grant
    Filed: July 26, 2018
    Date of Patent: July 4, 2023
    Assignees: UNIVERSITEIT GENT, CENTRE HOSPITALIER ET UNIVERSITAIRE DE MONTPELLIER, UNIVERSITÉ DE MONTPELLIER, CLINIQUE BEAU-SOLEIL, MAYNOOTH UNIVERSITY
    Inventors: Benoît Bardy, Simone Dalla Bella, Loic Damm, Dobri Dotov, Déborah Varoqui, Jeska Buhmann, Marc Leman, Bart Moens, Edith Van Dyck, Sean O'Leary, Joseph Timoney, Rudi Villing, Tomas Ward, Valérie Cochen de Cock
  • Publication number: 20220302931
    Abstract: The present application concerns an iterative bit-flipping decoding method using symbol or bit reliabilities, which is a variation of GRAND decoding and is denoted by ordered reliability bits GRAND (ORBGRAND). It comprises receiving a plurality of demodulated symbols from a noisy transmission channel; and receiving for the plurality of demodulated symbols, information indicating a ranked order of reliability of at least the most unreliable information contained within the plurality of demodulated symbols. A sequence of putative noise patterns from a most likely pattern of noise affecting the plurality of symbols through one or more successively less likely noise patterns is provided.
    Type: Application
    Filed: October 21, 2020
    Publication date: September 22, 2022
    Applicant: MAYNOOTH UNIVERSITY
    Inventor: Kenneth R. Duffy