Method, apparatus, and computer program product for combined tag and sensor based performance modeling using real-time data for proximity and movement of objects

• US 9,014,830 B2
• Filed: 07/15/2013
• Issued: 04/21/2015
• Est. Priority Date: 06/06/2013
• Status: Active Grant

• Current Assignee: Zebra Technologies Corporation
• Original Assignee: ZIH Corp. (Zebra Technologies Corporation)
• Inventors: Wohl, Michael A., O'Hagan, James J.
• Primary Examiner(s): Coburn, Corbett B
• Application Number:
  US13/942,560
• Publication Number:
  US 20140364975A1
• Time in Patent Office: 645 Days
• Field of Search: 700/91
• US Class Current: 700/91
• CPC Class Codes: A41D 1/002 adapted to accommodate electronic equipment patients' garments for medical monitoring A41D13/1281; luminous ornaments A41D27/085
• CPC Class Codes: A41D 1/005 with embedded cable or connector
• CPC Class Codes: A41D 1/04 Vests, jerseys, sweaters or the like
• CPC Class Codes: A41D 2600/10 for sport activities
• CPC Class Codes: A42B 3/30 Mounting radio sets or communication systems
• CPC Class Codes: A63B 2024/0025 Tracking the path or location of one or more users, e.g. players of a game
• CPC Class Codes: A63B 2024/0028 Tracking the path of an object, e.g. a ball inside a soccer pitch
• CPC Class Codes: A63B 2024/0056 for statistical or strategic analysis
• CPC Class Codes: A63B 2220/12 Absolute positions, e.g. by using GPS
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: A63B 2220/836 Sensors arranged on the body of the user
• CPC Class Codes: A63B 2225/50 Wireless data transmission, e.g. by radio transmitters or telemetry
• CPC Class Codes: A63B 2225/54 Transponders, e.g. RFID
• CPC Class Codes: A63B 24/00 Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
• CPC Class Codes: A63B 24/0021 Tracking a path or terminating locations
• CPC Class Codes: A63B 71/0686 Timers, rhythm indicators or pacing apparatus using electric or electronic means
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06F 16/955 using information identifiers, e.g. uniform resource locators [URL]
• CPC Class Codes: G06F 16/9554 : by using bar codes
• CPC Class Codes: G06K 7/10227 : loading programming parameters or programs into the interrogator, e.g. for configuring the interrogator
• CPC Class Codes: G06K 7/10297 : arrangements for handling protocols designed for non-contact record carriers such as RFIDs NFCs, e.g. ISO/IEC 14443 and 18092 cryptographic protocols H04L9/00; network security protocols H04L63/00; real-time communication protocols in data switching networks H04L65/00; network protocols for data switching network services H04L67/00
• CPC Class Codes: G06K 7/10306 : ultra wide band
• CPC Class Codes: G06K 7/10366 : the interrogation device being adapted for miscellaneous applications
• CPC Class Codes: G06N 5/02 : Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 7/01 : Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G06Q 90/00 : Systems or methods specially adapted for administrative, commercial, financial, managerial or supervisory purposes, not involving significant data processing
• CPC Class Codes: G06V 40/23 : Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G08C 17/02 : using a radio link
• CPC Class Codes: G09B 19/0038 : Sports
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: G16H 50/30 : for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 : for simulation or modelling of medical disorders
• CPC Class Codes: H04B 1/1036 : with automatic suppression of narrow band noise or interference, e.g. by using tuneable notch filters H04B1/123 takes precedence; filter circuits H03H
• CPC Class Codes: H04B 1/7097 : Interference-related aspects
• CPC Class Codes: H04B 1/71635 : Transmitter aspects H04B1/7174 takes precedence
• CPC Class Codes: H04B 1/71637 : Receiver aspects H04B1/7183 takes precedence
• CPC Class Codes: H04B 1/719 : Interference-related aspects
• CPC Class Codes: H04L 43/04 : Processing captured monitoring data, e.g. for logfile generation
• 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
• CPC Class Codes: H04W 4/02 : Services making use of location information
• CPC Class Codes: H04W 4/029 : Location-based management or tracking services

Abstract

Systems, methods, apparatuses, and computer readable media are disclosed for providing performance modeling by combining tags and sensors providing real time data on movement and proximity of tagged objects. In one embodiment, a method is provided for monitoring a participant that at least includes correlating at least one tag to the participant; receiving blink data transmitted by the at least one tag; determining tag location data based on the blink data; correlating a sensor to the participant; and receiving sensor derived data. The method further includes receiving participant role data; comparing the tag location data to participant dynamics/kinetics models based at least in part on the participant role data; and determining the participant location data based on comparing the tag location data and the sensor derived data to the participant dynamics/kinetics models.

Claims

1. A method for monitoring a participant, the method comprising:

correlating at least one tag to the participant;

receiving blink data transmitted by the at least one tag;

determining tag location data based on the blink data;

correlating a sensor to the participant;

receiving sensor derived data;

receiving participant role data;

comparing the tag location data to participant dynamics/kinetics models based at least in part on the participant role data; and

determining the participant location data based on comparing the tag location data and the sensor derived data to the participant dynamics/kinetics models.

2. The method of claim 1 wherein the sensor comprises one or more of an accelerometer, a magnetometer, and a time-of-flight sensor.

3. The method of claim 1 wherein the determining participant location data comprises determining participant location data by assigning a first weight to the tag location data and a second weight to the sensor derived data.

4. The method of claim 1 wherein the determining participant location data comprises assigning a first weight to the tag location data and a second weight to the sensor derived data at a first time period, and assigning a third weight to the tag location data at a second time period and a fourth weight to the sensor derived data at the second time period.

5. The method of claim 1 further comprising:

determining that the participant is a player; and

receiving the tag location data to a player dynamics engine, wherein the participant role data is player role data received to the player dynamics engine, wherein the participant dynamics/kinetics models are player dynamics/kinetics models, and wherein the player dynamics engine compares the tag location data to the player dynamics/kinetics models based at least in part on the player role data.

6. The method of claim 1 further comprising:

determining that the participant is an official; and

receiving the tag location data to an official dynamics engine, wherein the participant role data is official role data received to the official dynamics engine, wherein the participant dynamics/kinetics models are official dynamics/kinetics models, and wherein the official dynamics engine compares the tag location data to the official dynamics/kinetics models based at least in part on the official role data.

7. The method of claim 1 further comprising:

determining that the participant is a ball; and

receiving the tag location data to a ball engine, wherein the participant role data is ball role data received to the ball engine, wherein the participant dynamics/kinetics models are ball dynamics/kinetics models, and wherein the ball engine compares the tag location data to the ball dynamics/kinetics models based at least in part on the ball role data.

8. The method of claim 1 further comprising:

determining that the participant is a field marker; and

receiving the tag data to a field marker engine, wherein the participant role data is field marker role data received to the field marker engine, wherein the participant dynamics/kinetics models are field marker dynamics/kinetics models, and wherein the field marker engine compares the tag location data to the field marker dynamics/kinetics models based at least in part on the field marker role data.

9. The method of claim 1 wherein the sensor derived data comprises time-of-flight sensor data, the method further comprising:

correlating the time-of-flight sensor data to the participant.

10. The method of claim 1 wherein the sensor derived data comprises time-of-flight sensor data, the method further comprising:

assigning a first weight to the tag location data and a second weight to the time-of-flight sensor data.

11. An apparatus comprising at least one processor and at least one memory including computer program instructions, the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor, cause the apparatus to:

correlate at least one tag to the participant;

receive blink data transmitted by the at least one tag;

determine tag location data based on the blink data;

correlate a sensor to the participant;

receive sensor derived data;

receive participant role data;

compare the tag location data to participant dynamics/kinetics models based at least in part on the participant role data; and

determine the participant location data based on comparing the tag location data and the sensor derived data to the participant dynamics/kinetics models.

12. The apparatus of claim 11 wherein the sensor comprises one or more of an accelerometer, a magnetometer, and a time-of-flight sensor.

13. The apparatus of claim 11 wherein the determining participant location data comprises determining participant location data by assigning a first weight to the tag location data and a second weight to the sensor derived data.

14. The apparatus of claim 11 wherein the determining participant location data comprises assigning a first weight to the tag location data and a second weight to the sensor derived data at a first time period, and assigning a third weight to the tag location data at a second time period and a fourth weight to the sensor derived data at the second time period.

15. The apparatus of claim 11 further comprising the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor, cause the apparatus to:

determine that the participant is a player; and

receive the tag location data to a player dynamics engine, wherein the participant role data is player role data received to the player dynamics engine, wherein the participant dynamics/kinetics models are player dynamics/kinetics models, and wherein the player dynamics engine compares the tag location data to the player dynamics/kinetics models based at least in part on the player role data.

16. The apparatus of claim 11 further comprising the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor, cause the apparatus to:

determine that the participant is an official; and

receive the tag location data to an official dynamics engine, wherein the participant role data is official role data received to the official dynamics engine, wherein the participant dynamics/kinetics models are official dynamics/kinetics models, and wherein the official dynamics engine compares the tag location data to the official dynamics/kinetics models based at least in part on the official role data.

17. The apparatus of claim 11 further comprising the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor, cause the apparatus to:

determine that the participant is a ball; and

receive the tag location data to a ball engine, wherein the participant role data is ball role data received to the ball engine, wherein the participant dynamics/kinetics models are ball dynamics/kinetics models, and wherein the ball engine compares the tag location data to the ball dynamics/kinetics models based at least in part on the ball role data.

18. The apparatus of claim 11 further comprising the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor, cause the apparatus to:

determine that the participant is a field marker; and

receive the tag data to a field marker engine, wherein the participant role data is field marker role data received to the field marker engine, wherein the participant dynamics/kinetics models are field marker dynamics/kinetics models, and wherein the field marker engine compares the tag location data to the field marker dynamics/kinetics models based at least in part on the field marker role data.

19. The apparatus of claim 11 wherein the sensor derived data comprises time-of-flight sensor data, the apparatus further comprising the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor, cause the apparatus to:

correlate the time-of-flight sensor data to the participant.

20. The apparatus of claim 11 wherein the sensor derived data comprises time-of-flight sensor data, the apparatus further comprising the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor, cause the apparatus to:

assign a first weight to the tag location data and a second weight to the time-of-flight sensor data.

21. A computer program product for monitoring a participant, the computer program product comprising a non-transitory computer readable storage medium and computer program instructions stored therein, the computer program instructions comprising program instructions at least configured to:

correlate at least one tag to the participant;

receive blink data transmitted by the at least one tag;

determine tag location data based on the blink data;

correlate a sensor to the participant;

receive sensor derived data;

receive participant role data;

compare the tag location data to participant dynamics/kinetics models based at least in part on the participant role data; and

determine the participant location data based on comparing the tag location data and the sensor derived data to the participant dynamics/kinetics models.

22. The computer program product of claim 21 wherein the sensor comprises one or more of an accelerometer, a magnetometer, and a time-of-flight sensor.

23. The computer program product of claim 21 wherein the determining participant location data comprises determining participant location data by assigning a first weight to the tag location data and a second weight to the sensor derived data.

24. The computer program product of claim 21 wherein the determining participant location data comprises assigning a first weight to the tag location data and a second weight to the sensor derived data at a first time period, and assigning a third weight to the tag location data at a second time period and a fourth weight to the sensor derived data at the second time period.

25. The computer program product of claim 21 wherein determining the tag location data comprises determining a first tag derived data component and a second tag derived data component, wherein the sensor derived data comprises a first sensor derived data component and a second sensor derived data component, wherein the determining participant location data comprises determining participant location data by assigning a first weight to the first tag derived data component, a second weight to the second tag derived data component, a third weight to the first sensor derived data component, and a fourth weight to the second sensor derived data component.

26. The computer program product of claim 21 further comprising the computer program instructions at least configured to:

determine that the participant is a player; and

receive the tag location data to a player dynamics engine, wherein the participant role data is player role data received to the player dynamics engine, wherein the participant dynamics/kinetics models are player dynamics/kinetics models, and wherein the player dynamics engine compares the tag location data to the player dynamics/kinetics models based at least in part on the player role data.

27. The computer program product of claim 21 further comprising the computer program instructions at least configured to:

determine that the participant is an official; and

receive the tag location data to an official dynamics engine, wherein the participant role data is official role data received to the official dynamics engine, wherein the participant dynamics/kinetics models are official dynamics/kinetics models, and wherein the official dynamics engine compares the tag location data to the official dynamics/kinetics models based at least in part on the official role data.

28. The computer program product of claim 21 further comprising the computer program instructions at least configured to:

determine that the participant is a ball; and

receive the tag location data to a ball engine, wherein the participant role data is ball role data received to the ball engine, wherein the participant dynamics/kinetics models are ball dynamics/kinetics models, and wherein the ball engine compares the tag location data to the ball dynamics/kinetics models based at least in part on the ball role data.

29. The computer program product of claim 21 wherein the sensor derived data comprises time-of-flight sensor data, the apparatus further comprising the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor, cause the apparatus to:

correlate the time-of-flight sensor data to the participant.

30. The computer program product of claim 21 wherein the sensor derived data comprises time-of-flight sensor data, the apparatus further comprising the at least one memory and the computer program instructions configured to, in cooperation with the at least one processor, cause the apparatus to:

assign a first weight to the tag location data and a second weight to the time-of-flight sensor data.