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

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.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of U.S. Provisional Application no. 62 / 018,783, filed Jun. 30, 2014, and entitled Artificial Intelligence Based System and Method for Athletic Performance Prediction and / or Beneficial Training Program Adjustment by the same inventors as above.[0002]This application is related to U.S. patent application Ser. No. 13 / 912,176, entitled System and Method for Assessing Functional State of Body Systems Including Electromyography by Masakov, and filed on Jun. 6, 2013, which is hereby incorporated by reference as though disclosed herein. This application is also related to U.S. paatent pplication Ser. No. 13 / 912,178 entitled System and Method for Functional State and / or Performance Assessment and Training Program Adjustment by Nasedkin, and filed on Jun. 6, 2013, which is hereby incorporated by reference as though disclosed herein.FIELD OF THE INVENTION[0003]The present invention relates to a method and system f...

AI Technical Summary

Benefits of technology

The present invention provides a method and system for using artificial intelligence to improve fitness and well-being conditioning. It also provides tools for evaluating the many factors that can impact a conditioning goal and how modifying one factor can impact another factor.

Problems solved by technology

Some problems in AI (in reasoning, planning, learning, perception and robotics) require the agent to operate with incomplete or uncertain information.

A problem in current fitness and well-being conditioning is that a large number of contributors or variables may influence a target outcome, both directly and indirectly.

Furthermore, it is unknown, or difficult to ascertain, the significance of variables and their relationship to one another.

In addition, the prior art is disadvantageous in not presenting the functional state assessment parameters that are most significant to fitness and well-being conditioning and, in turn, the external contributors that are most significant in influencing the functional state assessment parameters.

Without presentation of these variables a coach or user is limited in control and optimization of conditioning.

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