Methods and apparatus for distributed gaming over a mobile device

• US 9,908,053 B2
• Filed: 10/18/2016
• Issued: 03/06/2018
• Est. Priority Date: 06/28/2004
• Status: Active Grant

• Current Assignee: Winview IP Holdings LLC
• Original Assignee: WinView Incorporated (GameSquare Holdings, Inc.)
• Inventors: Lockton, David B., Berner, Mark K., Micheli, Mark J.
• Primary Examiner(s): CUFF, MICHAEL A
• Application Number:
  US15/296,873
• Publication Number:
  US 20170036117A1
• Time in Patent Office: 504 Days
• Field of Search: 463 42, 463 1, 463 29, 463 40
• CPC Class Codes: A63F 13/12 involving interaction between a plurality of game devices, e.g. transmisison or distribution systems protocols for networked virtual reality, networked games H04L29/06034
• CPC Class Codes: A63F 13/30 Interconnection arrangements between game servers and game devices; Interconnection arrangements between game devices; Interconnection arrangements between game servers
• CPC Class Codes: A63F 13/332 using wireless networks, e.g. cellular phone networks
• CPC Class Codes: A63F 13/35 Details of game servers
• CPC Class Codes: A63F 13/352 involving special game server arrangements, e.g. regional servers connected to a national server or a plurality of servers managing partitions of the game world
• CPC Class Codes: A63F 13/75 Enforcing rules, e.g. detecting foul play or generating lists of cheating players
• CPC Class Codes: A63F 13/77 involving data related to game devices or game servers, e.g. configuration data, software version or amount of memory
• CPC Class Codes: A63F 13/79 involving player-related data, e.g. identities, accounts, preferences or play histories
• CPC Class Codes: A63F 2300/535 for monitoring, e.g. of user parameters, terminal parameters, application parameters, network parameters
• CPC Class Codes: A63F 2300/552 for downloading to client devices, e.g. using OS version, hardware or software profile of the client device
• CPC Class Codes: A63F 2300/558 by assessing the players' skills or ranking
• CPC Class Codes: A63F 2300/5586 for enforcing rights or rules, e.g. to prevent foul play

Abstract

Some embodiments of the invention provide a method and system for detecting unusual performance in a game. The game has a participant. The method calculates for the participant, a performance metric. The method compares the performance metric to a threshold value. Based on the comparison, the method optionally connects to a server. In some embodiments, the connection is for uploading a set of data from the participant to the server. The server, of some embodiments, broadcasts to the participant. The broadcast is a one-way transmission. In some embodiments, the broadcast includes a distribution based on a set of sample participants. In these embodiments, the set of sample participants comprises a representative sample of all the participants in the game. The threshold value, of some embodiments, is based on the broadcast and in some embodiments, the broadcast includes a histogram. The connecting occurs, in some embodiments, when the performance metric exceeds the threshold value. The connection, for some embodiments, includes a two-way connection. In some embodiments, the method also tracks for the participant, a participant improvement factor. The participant improvement factor is based on an average performance level for the participant. The method stores the participant improvement factor. The threshold value, in some of these embodiments, is based on the participant improvement factor. The method of some embodiments tracks for the game, a game improvement factor. The game improvement factor is based on an average performance level for several participants in the game. The method stores the game improvement factor. The threshold value, in some of these embodiments, is based on the game improvement factor. In some embodiments, the method examines the uploaded data for particular characteristics. In some embodiments, the particular characteristics indicate the likelihood of cheating activity.

Claims

1. A method of detecting unusual performance in a broadcast web-connected game, the game having a plurality of persons who participate in the game, each on a client device, the method comprising:

broadcasting game elements during the game from a server to each client device participating in the game;

selecting a sampling group of persons participating in the game, the sampling group comprising a subset of all persons participating in the game;

forming a connection between each client device used by the persons within the sampling group and the server to send responses to the game elements from the client devices of the sampling group to the server;

broadcasting from the server to each client device participating in the game, a threshold value determined from the responses received from the sampling group;

calculating for each person participating in the game a performance metric;

comparing the performance metric to the threshold value thereby forming a comparison; and

based on the comparison, for each person participating in the game not in the sampling group, optionally forming a connection to the server for uploading a set of data from the person'"'"'s client device to the server.

2. The method of claim 1, further comprising determining a distribution of results from the responses received from the sampling group, wherein the distribution of results are displayed utilizing a format including one or more of a histogram, percentile and numerical ranking.

3. The method of claim 2, wherein the threshold value is based on the distribution.

4. The method of claim 1, wherein the connection to the server for persons not in the sampling group is only formed when the performance metric exceeds the threshold value.

5. The method of claim 1, wherein the connection to the server for persons not in the sampling group comprises a two-way connection.

6. The method of claim 1, further comprising:

tracking at the client device for the person a participant improvement factor, wherein the participant improvement factor is based on an average performance level for the person; and

storing the participant improvement factor;

wherein the threshold value is based on the participant improvement factor.

7. The method of claim 1, further comprising:

tracking at the server, for the game a game improvement factor, wherein the game improvement factor is based on an average performance level for the sampling group; and

storing the game improvement factor;

wherein the threshold value is based on the game improvement factor.

8. The method of claim 1, wherein the server logs activity for the person.

9. The method of claim 1, further comprising examining the uploaded set of data for a set of particular characteristics.

10. The method of claim 9, wherein the particular characteristics comprise:

an indication that a client device used by the person to upload the data has been accessed abnormally;

or

an indication that the uploaded data has been altered;

or

performance data of the person that shows unusual improvement over a history of performance for the person;

or

performance data of the person that shows unusual improvement over a history of performance for a particular set of games, wherein the game is in the particular set of games.

11. The method of claim 1, wherein the connection is formed over a mobile device network.

12. The method of claim 1, further comprising sending an acknowledgment by the server to the responses which is received by the client device in less than 500 milliseconds.

13. The method of claim 1, wherein the set of data comprises a percentile standing based on score.

14. A method of detecting unusual performance in a broadcast web-connected game, the game having a plurality of persons who participate in the game, each on a client device, the method comprising:

receiving via the client device a one-way transmission, wherein the one-way transmission comprises a set of data comprising game elements and a threshold value for the game;

selecting a sampling group of persons participating in the game, the sampling group comprising a subset of all persons participating in the game;

forming a connection between each client device used by the persons within the sampling group and a server to send responses to the game elements from the client devices of the sampling group to the server;

utilizing the responses received from the sampling group at the server during the game to determine the threshold value for the game; and

based on the threshold value for the game, optionally establishing a two-way connection with the server and one or more client devices outside of the sampling group.

15. The method of claim 14, wherein establishing the two-way connection further comprises switching the one-way connection to the two-way connection.

16. The method of claim 15, wherein the switching is performed for a single mobile device.

17. The method of claim 14, wherein the two-way connection is formed over a mobile device network.

18. The method of claim 14, wherein the set of data comprises one or more of a histogram, percentile and numerical ranking.

19. The method of claim 14, further comprising examining the mobile device.

20. The method of claim 19, wherein examining the mobile device further comprises:

determining whether the mobile device has been accessed abnormally, or

determining whether data stored by the mobile device has been altered;

or

determining whether the performance metric comprises an anomaly, wherein the anomaly indicates a likelihood of an unfair game.

21. The method of claim 14, wherein the set of data comprises a percentile standing based on score.

22. A server for conducting a broadcast web-connected game for a plurality of persons who participate in the game, each on a client device, and for detecting unusual performance in the game among the persons participating in the game by broadcasting game elements and a threshold value, wherein the threshold value is determined based on responses received from a subset of client devices, during the game, to each client device participating in the game and forming a two-way connection between the server and the subset of the client devices to receive responses to the game elements from the subset of client devices, determining from the received responses the threshold value, and based on the threshold value, optionally receiving from the client devices of persons not in the subset, a set of data.

23. The server of claim 22, wherein the set of data comprises one or more of a histogram, percentile and numerical ranking.

24. The server of claim 22, wherein the set of data is only received from the client devices of persons not in the subset when a performance metric of the person participating on the client device exceeds the threshold value.

25. The server of claim 22, wherein the set of data comprises a percentile standing based on score.

26. A method of detecting unusual performance in a broadcast web-connected game, the game having a plurality of persons who participate in the game, each on a client device, the method comprising:

broadcasting game elements during the game from a server to each client device participating in the game;

broadcasting from the server to each client device participating in the game, a threshold value determined from the responses received from the client devices;

calculating, at the server, for each person participating in the game a performance metric;

comparing, at the server, the performance metric to the threshold value thereby forming a comparison; and

based on the comparison, optionally receiving a set of data from the person'"'"'s client device to the server; and

determining, at the server, a distribution of results from the responses received from the sampling group, wherein the distribution of results are displayed utilizing a format including one or more of a histogram, percentile and numerical ranking.

27. The method of claim 26, wherein the threshold value is based on the distribution.

28. The method of claim 26, further comprising:

tracking at the client device for the person a participant improvement factor, wherein the participant improvement factor is based on an average performance level for the person; and

storing the participant improvement factor;

wherein the threshold value is based on the participant improvement factor.

29. The method of claim 26, further comprising:

tracking at the server, for the game a game improvement factor, wherein the game improvement factor is based on an average performance level for the sampling group; and

storing the game improvement factor;

wherein the threshold value is based on the game improvement factor.

30. The method of claim 26, wherein the server logs activity for the person.

31. The method of claim 26, further comprising examining the uploaded set of data for a set of particular characteristics.

32. The method of claim 31, wherein the particular characteristics comprise:

an indication that a client device used by the person to upload the data has been accessed abnormally;

or

an indication that the uploaded data has been altered;

or

performance data of the person that shows unusual improvement over a history of performance for the person;

or

performance data of the person that shows unusual improvement over a history of performance for a particular set of games, wherein the game is in the particular set of games.

33. The method of claim 26, wherein the connection is formed over a mobile device network.