Athletic intelligence system

• US 10,409,831 B2
• Filed: 04/28/2016
• Issued: 09/10/2019
• Est. Priority Date: 04/28/2015
• Status: Active Grant

• Current Assignee: Impakt Athletics, Inc.
• Original Assignee: Impakt Athletics, Inc.
• Inventors: McQuistan, Zac, Brescia, Jason
• Primary Examiner(s): Harper, Eliyah S.
• Application Number:
  US15/140,968
• Publication Number:
  US 20160320941A1
• Time in Patent Office: 1,230 Days
• Field of Search: None
• CPC Class Codes: G06F 16/252 between a Database Management System and a front-end application
• CPC Class Codes: G06F 3/04812 Interaction techniques based on cursor appearance or behaviour, e.g. being affected by the presence of displayed objects
• CPC Class Codes: G06F 40/169 Annotation, e.g. comment data or footnotes
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06T 11/203 Drawing of straight lines or curves
• CPC Class Codes: G09B 5/02 with visual presentation of the material to be studied, e.g. using film strip

Abstract

A method for technology-driven athletic intelligence includes providing a database stored on a non-transitory computer readable medium wherein the database is structured to store data about a plurality of athletic entities, providing a plurality of applications configured to communicate with the database and collect contextual or situation data, providing an analytics engine in operative communication with the database and each of the plurality of applications, receiving a first data input from a user through one of the plurality of applications wherein the first data input provides contextual or situation data, storing the first data input in the database, applying at least a first tag using the first data input to one of the entities wherein the first tag describes the one of the athletic entities, and analyzing data using the analytics engine to generate insight and delivering the insight to a user through one of the plurality of applications.

Claims

1. A method for providing technology-driven athletic intelligence, the method comprising:

providing a database stored on a non-transitory computer readable medium wherein the database is structured to store data about a plurality of athletic entities, wherein the plurality of entities include entities from a set consisting of a player assignment, a player, a play, and a play formation;

providing a plurality of applications, each of the plurality of applications configured to communicate with the database and collect contextual or situation data;

wherein one of the plurality of applications is a practice companion application configured to build a script of a plurality plays and drills for practicing, wherein the practice companion application provides for a practice companion user interface to input contextual or situation data for building the script of a plurality plays and drills and the practice companion user interface displays the plurality of plays and drills;

wherein one of the plurality of applications is a play book application configured to build one or more plays;

wherein the play book application provides a play book user interface for selecting play type, formation or players and displaying the one or more plays to a user or data associated with the one or more plays;

wherein one of the plurality of applications comprises a film analysis component to analyze what happened during a game or practice;

wherein the film analysis component provides a film analysis user interface for inputting data associated with a plurality of one or more plays and displaying a film and the data associated with the plurality of one or more plays;

providing an analytics engine in operative communication with the database and each of the plurality of applications;

receiving a first data input from a user through one of the plurality of applications wherein the first data input provides contextual or situation data;

storing the first data input in the database;

applying at least a first tag using the first data input to one of the entities wherein the first tag describes the one of the athletic entities; and

analyzing data within the database using the analytics engine to generate insight and delivering the insight to a user through one of the plurality of applications.

2. The method of claim 1 wherein the analyzing data comprises statistically analyzing data.

3. The method of claim 1 wherein the analyzing data further comprises analyzing macro data from a plurality of teams.

12. The method of claim 1 wherein the first data input comprises data received from one or more imaging sensors or wearable sensors.

13. The method of claim 1, wherein the practice companion further includes a coach'"'"'s personal practice schedule.

14. The method of claim 1, wherein the practice companion user interface displays templates for notes and grading of players during practice.

4. A system for athletic intelligence, the system comprising:

a database storing data indicative of a plurality of experiences on a non-transitory computer readable storage medium;

at least one software application configured to communicate with the database and collect contextual or situation data through user input;

wherein one of the software applications is a practice companion application configured to build a script of a plurality plays and drills for practicing, wherein the practice companion application provides for a practice companion user interface to input contextual or situation data for building the script of a plurality plays and drills and the practice companion user interface displays the plurality of plays and drills;

an analytics engine executing on a processor and in operative communication with the database, wherein the analytics engine is configured to analyze the data indicative of the plurality of experiences to provide insight for use in improving athletic performance and wherein the analytics engine is configured to process the data in the database to recognize athletic entities;

a natural user interface provided by a computing device, the natural user interface in operative communication with the analytics engine and the database, wherein the natural user interface is configured to receive data input from a user;

wherein the natural user interface provides for delivery of the insights into specific coaching process and tasks wherein the natural user interface displays the insights and data associated with the insights to a user; and

wherein the natural user interface provides for converting (X, Y) data to structured sets comprising recognized athletic entities;

wherein the (X,Y) data corresponds to a user drawn play route or player assignments.

5. The system of claim 4 wherein the athletic entities are selected from a set consisting of plays, players, assignments, actions, positions, players, and formations.

6. The system of claim 4 further comprising at least one data tag associated with each of the plurality of experiences.

7. The system of claim 4 further comprising a separate data source associated with each of the plurality of experiences.

8. The system of claim 4 wherein the analytics engine provides for analyzing effectiveness of various strategies given certain situations.

9. The system of claim 4 wherein the analytics engine provides for producing player profiles.

10. The system of claim 4 wherein the analytics engine further provides for suggesting players for certain system fits or assignments.

15. The system of claim 4, wherein the (X,Y) data comprises multiple (X,Y) coordinates generated and wherein the changes to the (X,Y) data over time and angle identify pivot points associated with a player assignment.

11. A system for providing technology-driven athletic intelligence, the system comprising:

a database stored on a non-transitory computer readable medium wherein the database is structured to store data about a plurality of athletic entities;

a plurality of applications, each of the plurality of applications configured to communicate with the database and collect contextual or situation data;

providing a plurality of applications, each of the plurality of applications configured to communicate with the database and collect contextual or situation data;

wherein one of the plurality of applications is a practice companion application configured to build a script of a plurality plays and drills for practicing, wherein the practice companion application provides for a practice companion user interface to input contextual or situation data for building the script of a plurality plays and drills and the practice companion user interface displays the plurality of plays and drills;

wherein one of the plurality of applications is a play book application configured to build one or more plays;

wherein the play book application provides a play book user interface for selecting play type, formation or players and displaying the one or more plays to a user or data associated with the one or more plays;

wherein one of the plurality of applications comprises a film analysis component to analyze what happened during a game or practice;

wherein the film analysis component provides a film analysis user interface for inputting data associated with a plurality of one or more plays and displaying a film and the data associated with the plurality of one or more plays;

an analytics engine in operative communication with the database and each of the plurality of applications;

wherein the system is configured for;

receiving a first data input from a user through one of the plurality of applications wherein the first data input provides contextual or situation data;

storing the first data input in the database;

applying at least a first tag using the first data input to one of the entities wherein the first tag describes the one of the athletic entities; and

analyzing data within the database using the analytics engine to generate insight and delivering the insight to a user through one of the plurality of applications.