BIOMETRIC ACCESS SENSITIVITY

• US 20080113787A1
• Filed: 11/15/2006
• Published: 05/15/2008
• Est. Priority Date: 11/15/2006
• Status: Active Grant

• Current Assignee: CFPH LLC (Cantor Fitzgerald, L.P.)
• Original Assignee: CFPH LLC (Cantor Fitzgerald, L.P.)
• Inventors: Alderucci, Dean P., Asher, Joseph M., Papageorgiou, Antonio
• Granted Patent: US 9,411,944 B2
• Time in Patent Office: Days
• US Class Current: 463/29
• CPC Class Codes: A63F 2300/532 using secure communication, e.g. by encryption, authentication
• CPC Class Codes: G06F 21/31 User authentication
• CPC Class Codes: G06F 21/316 by observing the pattern of computer usage, e.g. typical user behaviour
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06F 2221/2111 Location-sensitive, e.g. geographical location, GPS
• CPC Class Codes: G07F 17/3206 Player sensing means, e.g. presence detection, biometrics
• CPC Class Codes: G07F 17/323 wherein the player is informed, e.g. advertisements, odds, instructions
• CPC Class Codes: G07F 17/3237 about the players, e.g. profiling, responsible gaming, strategy/behavior of players, location of players
• CPC Class Codes: G07F 17/3241 Security aspects of a gaming system, e.g. detecting cheating, device integrity, surveillance computer security G06F21/00

Abstract

The present application provides methods and corresponding systems for accessing services on a gaming device which, in certain embodiments, include the step or steps of receiving at least one item of identity verification data from a user of a gaming device; enabling at least one service, such as a wager-type game, on the gaming device based on a match between the at least one item of identity verification data received and at least one item of identity verification data obtained previously; displaying an interface screen comprising graphic objects associated with the wager-type game and at least one selectable element for the user to submit a gaming command and a wagering command during game play; obtaining at least one item of user change data from a user during game play; and prompting the user for identity verification data when a user change is suspected based on the at least one item of user change data.

Claims

1. A method comprising:

receiving at least one item of identity verification data from a user of a gaming device;

enabling at least one service on the gaming device based on a match between the at least one item of identity verification data received and at least one item of identity verification data obtained previously, the at least one service comprising a wager-type game;

displaying an interface screen comprising graphic objects associated with the wager-type game and at least one selectable element for the user to submit a gaming command and a wagering command during game play;

obtaining at least one item of user change data from a user during game play; and

prompting the user for identity verification data when a user change is suspected based on the at least one item of user change data.

2. A method comprising:

receiving at least one item of identity verification data from a user of a gaming device;

enabling at least one service on the gaming device based on a match between the at least one item of identity verification data received and at least one item of identity verification data obtained previously;

obtaining at least one item of user change data from a user; and

prompting the user for identity verification data when a user change is suspected based on the at least one item of user change data.

3. The method of claim 2, wherein the identity verification data comprises physical biometric data.

4. The method of claim 3, wherein the physical biometric data comprises at least one of a fingerprint scan, an iris scan, a retina scan, a vascular pattern scan, and a facial image of the user.

5. The method of claim 2, wherein the at least one item of user change data comprises at least one item of behavioral biometric data and wherein a user change is suspected based on a difference between the at least one item of behavioral biometric data and at least one item of behavioral biometric data obtained previously.

6. The method of claim 5, wherein the at least one item of behavioral biometric data comprises at least one of blood pressure, heart rate, body temperature, speech, handwriting, keystroke, and body movement of a user.

7. The method of claim 2, wherein the at least one item of user change data comprises at least one item of user proficiency data and wherein a user change is suspected based on a difference between the at least one item of proficiency data and at least one item of proficiency data obtained previously.

8. The method of claim 7, wherein the at least one item of user proficiency data comprises a keystroke rate of the user.

9. The method of claim 8, wherein the keystroke rate is particular to at least one service.

10. The method of claim 7, wherein the at least one item of user proficiency data comprises at least one of a menu navigation rate and a false selection rate.

11. The method of claim 7, wherein the at least one item of user proficiency data is mapped to at least one gaming event.

12. The method of claim 2, wherein the at least one item of user change data comprises at least one item of playing pattern data and wherein a user change is suspected based on a difference between the at least one item of playing pattern data and at least one item of playing pattern data obtained previously.

13. The method of claim 12, wherein the at least one item of playing pattern data comprises a wager amount for comparison with a user'"'"'s maximum wager amount.

14. The method of claim 12, wherein the at least one item of playing pattern data comprises a wager following a win or a loss for comparison with a previous wager following a win or a loss.

15. The method of claim 2, comprising obtaining a plurality of user change data readings, wherein a user change is suspected based on a break in consecutive user change data readings.

16. The method of claim 5, comprising obtaining a plurality of user change data readings, wherein a user change is suspected based on a sudden change in consecutive user change data readings.

17. The method of claim 2, comprising obtaining at least a first and a second user change data reading, wherein a user change is suspected based on a difference between the first and the second data readings.

18. The method of claim 17, wherein at least the first user change data reading is obtained prior to an initial or an immediately preceding identity verification and wherein at least the second user change data reading is obtained after the initial or the immediately preceding identity verification.

19. The method of claim 2, wherein at least one of the identity verification data and the user change data are compared with data obtained previously and wherein the user is prompted for identity verification data based on a level of confidence associated with the comparison.

20. The method of claim 19, wherein the level of confidence associated with the comparison is set by the user.

21. The method of claim 2, wherein at least one of the identity verification data and the user change data are compared with data obtained previously and wherein the user is prompted for identity verification data based on an error classification associated with the comparison from a plurality of different error classifications.

22. The method of claim 21, wherein the error classification is based on a severity of the error in relation to other errors.

23. The method of claim 21, wherein the identity verification data is categorized in at least a first class and the user change data is characterized in at least a second class, the first class having a different response thereto than the second class.

24. The method of claim 22, wherein a response for the second class of errors is triggered based on registering a plurality of the second class of errors exceeding a threshold for the second class of errors.

25. The method of claim 24, wherein at least one of the error class and the threshold for the second class of errors is user defined.

26. A method comprising:

receiving at least one item of physical biometric data from a user of a gaming device;

enabling at least one service on the gaming device based on a match between the at least one item of physical biometric data received and at least one item of physical biometric data obtained previously;

obtaining at least a first and a second item of user change data from a user; and

prompting the user for identity verification data when a user change is suspected based on a difference between the first and the second item of user change data.

27. The method of claim 26, wherein the user change data comprises behavioral biometric data and wherein a user change is suspected based on a difference between items of behavioral biometric data.

28. The method of claim 26, wherein the user change data comprises user proficiency data and wherein a user change is suspected based on a difference between items of proficiency data.

29. The method of claim 26, wherein the user change data comprises at least one item of playing pattern data and wherein a user change is suspected based on a difference between the items of playing pattern data.

30. A method comprising:

receiving a plurality of data items from a user of a gaming device, the plurality of data items comprising at least one of each data item type or a plurality of one data item type selected from a group consisting of;

identity verification data, and

user change data from the user;

comparing the plurality of data items with data items obtained previously, each comparison having an error classification associated therewith from a plurality of different error classification;

enabling at least one service on the gaming device based on a match between at least one item of identity verification data received and at least one item of identity verification data obtained previously; and

prompting the user for identity verification data based on the error classification.

31. The method of claim 30, wherein the error classification is based on a severity of the error in relation to other errors.

32. The method of claim 30, wherein identity a first of the data items is categorized in at least a first class and a second of the plurality of data items is characterized in at least a second class, the first class having a different response thereto than the second class.

33. The method of claim 32, wherein a response for the second class of errors is triggered based on registering a plurality of the second class of errors exceeding a threshold for the second class of errors.

34. The method of claim 33, wherein at least one of the error class and the threshold for the second class of errors is user defined.

35. The method of claim 33, wherein the threshold for the second class of errors is relaxed based on a location of the gaming device.