Predictive analytics method and system for positively adjusting fitness and/or well-being conditioning

• US 20200129808A1
• Filed: 06/30/2015
• Published: 04/30/2020
• Est. Priority Date: 06/30/2015
• Status: Abandoned Application

• Current Assignee: Omegawave OY
• Original Assignee: Omegawave OY
• Inventors: Fomin, Roman, Nasedkin, Valeriy
• Application Number:
  US14/545,908
• Publication Number:
  US 20200129808A1
• Time in Patent Office: Days
• CPC Class Codes: A63B 2024/0065 Evaluating the fitness, e.g. fitness level or fitness index
• CPC Class Codes: A63B 24/0006 Computerised comparison for qualitative assessment of motion sequences or the course of a movement
• CPC Class Codes: A63B 24/0062 Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A system and method of predictive analytics that assesses multiple causal factors to a target outcome, determines the relationship and significance of those causal factors to the target outcome, and permits adjustment of a conditioning, wellness and/or athletic training program to more effectively approach or achieve the target outcome. Artificial intelligence tools are disclosed for aiding in determining the relationship and significance of the causal factors and for improving accuracy and predictive success. Causal factors may be physiological or non-physiological, and the system and method of the present invention may be applied to a team or individual.

Claims

1. A method for optimizing fitness or well-being conditioning, comprising the steps of:

for each of a plurality of primary contributors (PC) to a target outcome (TO), generating a value representative of the level of the PC;

determining from the representative PC value the one or more PCs that are more significant to influencing attainment of the TO;

generating, as internal contributors, index values each indicative of a current functional state attribute of a user;

determining from a plurality of internal contributors the one or more ICs that are more significant to influencing a PCs;

adding a next round of data points related to the PCs and ICs and repeating above; and

generating a signal for display of significant PCs and ICs.