Predicting exercises based on user-selected variance
US12347542B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 16, 2021 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Jul 27, 2042 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA63B24/0075
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
An exercise recommendation system determines workout plans for users. The exercise recommendation system receives a profile of a user and a level of variance selected by the user. The profile includes a history of exercises the user has performed, available gym equipment, and exercise goals. The exercise recommendation system inputs the profile to a machine learning model configured to rank a set of exercises for a user to perform. The exercise recommendation system modifies the ranking of exercises based on the level of variance selected by the user. Modification of the ranking is greater for a first level of variance than for a second level of variance less than the first level of variance. The exercise recommendation system generates a workout plan for display within a user interface to the user based on the modified ranking.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.