Systems and methods for integrated automated sports data collection and analytics platform

• US 10,471,304 B2
• Filed: 10/01/2018
• Issued: 11/12/2019
• Est. Priority Date: 03/08/2016
• Status: Active Grant

• Current Assignee: Sportsmedia Technology Corporation
• Original Assignee: Sportsmedia Technology Corporation
• Inventors: Hall, Gerard J.
• Primary Examiner(s): Singh, Hirdepal
• Application Number:
  US16/148,451
• Publication Number:
  US 20190030397A1
• Time in Patent Office: 407 Days
• Field of Search: 3405731
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/4875 Hydration status, fluid retention of the body
• CPC Class Codes: A61B 5/6802 Sensor mounted on worn items
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/6804 Garments; Clothes
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6895 Sport equipment
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• 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: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06T 15/005 General purpose rendering architectures
• CPC Class Codes: G06V 40/23 Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G11B 27/00 Editing; Indexing; Addressing; Timing or synchronising; Monitoring; Measuring tape travel
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: H04Q 9/00 : Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom

Abstract

Systems, methods, and apparatus for data collection and analytics for a sports activity are disclosed. A multiplicity of sensors tracks a multiplicity of world objects related to the sports activity, collects and communicates tracking data to a server platform in real time or near real time. The server platform integrates the tracking data from the multiplicity of sensors and scoring data for the sports activity, and correlates the tracking data and the scoring data with a corresponding UTC timecode based on rules related to the sports activity, thereby creating a multiplicity of UTC-coded data sets. The server platform synchronizes the multiplicity of UTC-coded data sets, thereby creating a time-synchronized data set. The server platform provides analytics based on the time-synchronized data set, thereby creating analyzed data. The multiplicity of user devices displays the analyzed data based on at least one application program.

Claims

1. A system for data collection and analytics for a sports activity, comprising:

a server platform constructed and configured for network communication with a multiplicity of sensors and a multiplicity of user devices, wherein the server platform comprises at least one intelligence engine and at least one synchronization engine, wherein each of the multiplicity of user devices includes at least one application program;

wherein the multiplicity of sensors is operable to track a multiplicity of world objects related to the sports activity and collect and communicate data inputs to the server platform in real time or near real time, thereby creating tracking data;

wherein the multiplicity of world objects includes a multiplicity of players and at least one sports element;

wherein the server platform is operable to collect and integrate the tracking data from the multiplicity of sensors and sports data for the sports activity in real time or near real time;

wherein the sports data includes the data inputs from the multiplicity of sensors;

wherein the sports data includes real time data relating to sports rules-based events;

wherein the server platform is operable to automatically correlate the tracking data and the sports data with a corresponding Coordinated Universal Time (UTC) timecode based on rules related to the sports activity, thereby creating a multiplicity of UTC-coded data sets;

wherein the server platform is operable to synchronize the multiplicity of UTC-coded data sets in real time or near real time, thereby creating a time-synchronized data set;

wherein the server platform is operable to provide analytics based on the time-synchronized data set in real time or near real time, thereby creating analyzed data;

wherein the multiplicity of user devices is operable to display the analyzed data based on the at least one application program;

wherein the server platform is operable to normalize and synchronize the sports data for the sports activity, and wherein the server platform is operable for data archiving, post data playback, live data push, video-data synchronization, sport specific triggers, and event context mapping.

2. The system of claim 1, wherein the server platform is further operable to synchronize the multiplicity of UTC-coded data sets to at least one production timecode for broadcasting.

3. The system of claim 1, wherein the server platform is further operable to store the time-synchronized data sets and the analyzed data for the sports activity.

4. The system of claim 1, wherein the server platform is further operable to render a 3-dimensional (3D) graphics scene for the sports activity.

5. The system of claim 4, wherein the server platform is further operable to map the multiplicity of world objects to a multiplicity of scene objects in the 3D graphics scene and map world activities to scene activities in the 3D graphics scene, wherein the world activities comprise world object activities, world camera activities, and competition events in the sports activity.

6. The system of claim 1, wherein the server platform is further operable to provide a third-party analytics provider with licensed access to the time-synchronized data set, and wherein the third-party analytics provider is operable to generate complementary analytics independently from the server platform.

7. The system of claim 1, wherein the at least one sports element includes a ball, a puck, wearable sporting equipment, at least one uniform, or handheld equipment.

8. The system of claim 1, wherein the tracking data comprises location data, movement data, biometric data, and video data.

9. The system of claim 1, wherein the sports data includes scoring data, and wherein the scoring data comprises individual and team score data, individual statistics data, and team statistics data.

10. The system of claim 1, wherein the server platform is operable to communicate with a tracking activity generator and a scoring activity generator, wherein the server platform is operable to receive tracking data and the sports data from the tracking activity generator and the scoring activity generator, and wherein the server platform is operable to update object models with the received tracking data and the sports data.

11. The system of claim 1, wherein the server platform includes an application programming interface (API) and real time push (RTP) layer;

wherein the API and RTP layer is operable to communicate with applications on the multiplicity of user devices.

12. The system of claim 1, wherein the sports rules-based events include timeouts, play clock, scores, and attempts.

13. The system of claim 1, wherein the server platform is operable to receive a data request from a renderer;

wherein the renderer is operable to query the server platform to obtain the sports data;

wherein the renderer is operable to create a three-dimensional (3D) scene based on the sports data; and

wherein the renderer is further operable for video selection and playback control.

14. A method for data collection and analytics for a sports activity, comprising:

providing a server platform constructed and configured for network communication with a multiplicity of sensors and a multiplicity of user devices, wherein the server platform comprises at least one intelligence engine and at least one synchronization engine, wherein each of the multiplicity of user devices includes at least one application program;

the multiplicity of sensors tracking a multiplicity of world objects related to the sports activity in real time or near real time;

wherein the multiplicity of world objects includes a multiplicity of players and at least one sports element;

the multiplicity of sensors collecting and communicating data inputs to the server platform in real time or near real time, thereby creating tracking data;

the server platform collecting and integrating the tracking data from the multiplicity of sensors and sports data for the sports activity in real time or near real time, wherein the sports data includes the data inputs from the multiplicity of sensors, wherein the sports data includes real time data relating to sports rules-based events;

the server platform automatically correlating the tracking data and the sports data with a corresponding Coordinated Universal Time (UTC) timecode based on rules related to the sports activity, thereby creating a multiplicity of UTC-coded data sets;

the server platform synchronizing in real time the multiplicity of UTC-coded data sets, thereby creating a time-synchronized data set;

the server platform providing real time or near real time analytics based on the time-synchronized data set, thereby creating analyzed data;

the multiplicity of user devices displaying the analyzed data based on the at least one application program; and

the server platform normalizing and synchronizing the sports data;

wherein the server platform is operable for data archiving, post data playback, live data push, video-data synchronization, sport specific triggers, and event context mapping.

15. The method of claim 14, further comprising the server platform synchronizing the multiplicity of UTC-coded data sets to at least one production timecode for broadcasting.

16. The method of claim 14, further comprising the server platform rendering a 3-dimensional (3D) graphics scene for the sports activity.

17. The method of claim 16, further comprising the server platform mapping the multiplicity of world objects to a multiplicity of scene objects in the 3D graphics scene and mapping world activities to scene activities in the 3D graphics scene, wherein the world activities comprise world object activities, world camera activities, and competition events in the sports activity.

18. An apparatus for data collection and analytics for a sports activity, comprising:

a server platform comprising at least one intelligence engine and at least one synchronization engine;

wherein the server platform is constructed and configured for network communication with a multiplicity of sensors and a multiplicity of user devices, wherein each of the multiplicity of user devices includes at least one application program;

wherein the multiplicity of sensors is operable to track a multiplicity of world objects related to the sports activity and collect and communicate data inputs to the server platform in real time or near real time, thereby creating tracking data;

wherein the multiplicity of world objects includes a multiplicity of players and at least one sports element;

wherein the at least one intelligence engine is operable to collect and integrate the tracking data from the multiplicity of sensors and sports data for the sports activity in real time or near real time;

wherein the sports data includes the data inputs from the multiplicity of sensors;

wherein the sports data includes real time data relating to sports rules-based events;

wherein the at least one intelligence engine is operable to automatically correlate the tracking data and the sports data with a corresponding Coordinated Universal Time (UTC) timecode based on rules related to the sports activity, thereby creating a multiplicity of UTC-coded data sets;

wherein the at least one synchronization engine is operable to synchronize the multiplicity of UTC-coded data sets in real time or near real time, thereby creating a time-synchronized data set;

wherein the at least one synchronization engine is operable to provide analytics based on the time-synchronized data set in real time or near real time, thereby creating analyzed data;

wherein the multiplicity of user devices is operable to display the analyzed data based on the at least one application program;

wherein the server platform is operable to normalize and synchronize the sports data for the sports activity; and

wherein the server platform is operable for data archiving, post data playback, live data push, video-data synchronization, sport specific triggers, and event context mapping.

19. The apparatus of claim 18, wherein the at least one synchronization engine is operable to synchronize the multiplicity of UTC-coded data sets to at least one production timecode for broadcasting.

20. The apparatus of claim 18, wherein server platform further comprises a 3-dimensional (3D) scene renderer operable to create a 3D graphics scene for the sports activity.