公开(公告)号：US20220395728A1

公开(公告)日：2022-12-15

申请号：US17837893

申请日：2022-06-10

Applicant: VISION QUEST VIRTUAL, LLC

Inventor： Joseph Scanlin ,  Robert A. Ventura

IPC: A63B24/00 ,  A63B22/06

Abstract: A method for optimizing at least one exercise is provided. The method includes receiving user data. The user data includes biometric attribute data associated with a user of an exercise device. The method includes generating at least one interval, the at least one interval including at least duration data and target power data each associated with the exercise. The method includes during the at least one interval, receiving measurement data associated with at least one of the user and the exercise device. The method includes calculating, based on the measurement data and the user data, energy data associated with an expended energy of the user during the at least one interval, the energy data including quantity data and source information each associated with at least one energy source. The method includes generating, via an artificial intelligence engine, a machine learning model trained to identify the at least one energy source.

公开(公告)号：US12226672B2

公开(公告)日：2025-02-18

申请号：US17837893

申请日：2022-06-10

Applicant: VISION QUEST VIRTUAL, LLC

Inventor： Joseph Scanlin ,  Robert A. Ventura

IPC: A63B24/00 ,  A63B22/06 ,  A63B71/06 ,  G06N20/00

Abstract: A method for optimizing at least one exercise is provided. The method includes receiving user data. The user data includes biometric attribute data associated with a user of an exercise device. The method includes generating at least one interval, the at least one interval including at least duration data and target power data each associated with the exercise. The method includes during the at least one interval, receiving measurement data associated with at least one of the user and the exercise device. The method includes calculating, based on the measurement data and the user data, energy data associated with an expended energy of the user during the at least one interval, the energy data including quantity data and source information each associated with at least one energy source. The method includes generating, via an artificial intelligence engine, a machine learning model trained to identify the at least one energy source.