Automated wellness system managing personalized fitness programs

• US 20050228691A1
• Filed: 04/07/2004
• Published: 10/13/2005
• Est. Priority Date: 04/07/2004
• Status: Abandoned Application

• Current Assignee: Michael Paparo
• Original Assignee: Michael Paparo
• Inventors: Paparo, Michael
• Application Number:
  US10/819,744
• Publication Number:
  US 20050228691A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training

Abstract

A method for providing personalized wellness programs can include the step of receiving participant metrics, the metrics including data elements indicative of a plurality of mental and physical attributes relating to wellness of an associated participant. Numerical weights can be assigned to selective ones of these metrics. A wellness program can be algorithmically determined based at least in part upon the assigned weights. The wellness program can include multiple stages. A first one of these stages can be presented to the participant. The participants performance of the first stage of the program can be automatically evaluated using a data-driven approach. The performance evaluation can be based at least in part upon the participant metrics. A second one of the stages can be presented when the evaluated performance indicates a successful completion of the first stage.

Claims

1. A method for providing personalized wellness programs comprising the steps of:

receiving participant metrics, said metrics including data elements indicative of a plurality of mental and a plurality of physical attributes relating to wellness of an associated participant;

assigning numerical weights to selective ones of these metrics;

algorithmically determining a wellness program based at least in part upon the assigned weights, said wellness program including a plurality of stages that includes at least a first stage and at least a second stage;

presenting said first stage to said participant;

automatically evaluating participant performance of said first stage using a data-driven approach, said performance evaluation based at least in part upon said participant metrics; and

presenting said second stage when said evaluated performance indicates a successful completion of said first stage.

2. The method of claim 1, further comprising the steps of:

receiving participant metrics that are associated with a different participant; and

algorithmically determining a new wellness program for said different participant, said new wellness program including a plurality of stages based at least in part upon said received metrics associated with said different participant, said stages of said new wellness program being different from the stages determined for the previously established wellness program.

3. The method of claim 1, wherein said successful completion of said first stage requires said participant to overcome a mental milestone, said evaluating step further comprising the step of:

testing a mental state of said participant using a plurality of multiple choice questions;

scoring said test;

comparing said test score against a previously established threshold value, said comparing step determining said successful completion.

4. The method of claim 1, wherein said successful completion of said first stage requires said participant to overcome a physical milestone, said evaluating step further comprising the step of:

comparing a dietary metric against a previously established target value, said comparing step determining said successful completion.

5. The method of claim 1, wherein successful completion of said first stage requires said participant to overcome a mental milestone, and wherein successful completion of said second stage requires said participant to overcome a physical milestone.

6. The method of claim 1, said method further comprising the steps of:

during participant enrollment, presenting a plurality of questions to said participant, said receiving of participant metrics resulting from answers to said questions; and

determining a suitability of said participant based upon said participant metrics, wherein said participant is not permitted to enter said program is said suitability is below an established threshold.

7. The method of claim 1, said method further comprising the steps of:

selecting a digital coach from among a plurality of digital coaches, each digital coach having a simulated personality; and

interacting with said participant throughout said program via said selected digital coach.

8. The method of claim 1, said method further comprising the step of:

intermittingly determining a progression of said participant; and

suspending said participant from said program when said progression falls below an established minimum threshold.

9. A machine-readable storage having stored thereon, a computer program having a plurality of code sections, said code sections executable by a machine for causing the machine to perform the steps of:

receiving participant metrics, said metrics including data elements indicative of a plurality of mental and a plurality of physical attributes relating to wellness of an associated participant;

assigning numerical weights to selective ones of these metrics;

algorithmically determining a wellness program based at least in part upon the assigned weights, said wellness program including a plurality of stages that includes at least a first stage and at least a second stage;

presenting said first stage to said participant;

automatically evaluating participant performance of said first stage using a data-driven approach, said performance evaluation based at least in part upon said participant metrics; and

presenting said second stage when said evaluated performance indicates a successful completion of said first stage.

10. The machine-readable storage of claim 9, further comprising the steps of:

receiving participant metrics that are associated with a different participant; and

algorithmically determining a new wellness program for said different participant, said new wellness program including a plurality of stages based at least in part upon said received metrics associated with said different participant, said stages of said new wellness program being different from the stages determined for the previously established wellness program.

11. The machine-readable storage of claim 9, wherein said successful completion of said first stage requires said participant to overcome a mental milestone, said evaluating step further comprising the step of:

testing a mental state of said participant using a plurality of multiple choice questions;

scoring said test;

comparing said test score against a previously established threshold value, said comparing step determining said successful completion.

12. The machine-readable storage of claim 9, wherein said successful completion of said first stage requires said participant to overcome a physical milestone, said evaluating step further comprising the step of:

comparing a dietary metric against a previously established target value, said comparing step determining said successful completion.

13. The machine-readable storage of claim 9, wherein successful completion of said first stage requires said participant to overcome a mental milestone, and wherein successful completion of said second stage requires said participant to overcome a physical milestone.

14. The machine-readable storage of claim 9, further comprising the steps of:

during participant enrollment, presenting a plurality of questions to said participant, said receiving of participant metrics resulting from answers to said questions; and

determining a suitability of said participant based upon said participant metrics, wherein said participant is not permitted to enter said program is said suitability is below an established threshold.

15. The machine-readable storage of claim 9, further comprising the steps of:

selecting a digital coach from among a plurality of digital coaches, each digital coach having a simulated personality; and

interacting with said participant throughout said program via said selected digital coach.

16. The machine-readable storage of claim 9, further comprising the step of:

intermittingly determining a progression of said participant; and

suspending said participant from said program when said progression falls below an established minimum threshold.

17. A system for establishing personalized wellness programs comprising:

a participant data engine configured to security store participant metrics;

a program engine configured to establish and maintain personalized wellness programs for program participants, wherein each wellness program is customized for a participant based upon said participant metrics, said wellness programs including a plurality of progressive stages, at least a portion of said stages requiring a mental milestone to be achieved before successful stage completion and at least a portion of said stages requiring a physiological milestone to be achieved before successful stage completion; and

a coach engine including a plurality of digital coaches, each coach having an associated appearance, simulated personality, and coaching style, each participant accessing said system having a selected digital coach that guides the participant through a wellness program established for that participant.

18. The system of claim 17, further comprising:

a college tool configured to provide electronically administered lessons used to help program participants achieve designated milestones.

19. The system of claim 17, further comprising:

a nutritional laboratory tool configured to teach participants about scientific concepts concerning nutritional aspects relating to food.

20. The system of claim 17, further comprising:

a gym tool configured to provide personalized exercise programs.

21. The system of claim 17, further comprising:

a library tool configured to provide access to electronic books that have been specifically identified as beneficial for a participants wellness program.