CONTROLLING RESOURCE ACCESS BASED ON USER GESTURING IN A 3D CAPTURED IMAGE STREAM OF THE USER

• US 20080170776A1
• Filed: 01/12/2007
• Published: 07/17/2008
• Est. Priority Date: 01/12/2007
• Status: Active Grant

• Current Assignee: Snap, Inc.
• Original Assignee: International Business Machines Corporation
• Inventors: Goldman, Steven D., Sessa, Anthony J., Arnold, Kenneth C., Paolini, Michael A., Albertson, Jacob C.
• Granted Patent: US 7,971,156 B2
• Time in Patent Office: Days
• US Class Current: 382/154
• CPC Class Codes: G06F 21/35 communicating wirelessly
• CPC Class Codes: G06F 21/36 by graphic or iconic representation
• CPC Class Codes: G06V 40/28 Recognition of hand or arm movements, e.g. recognition of deaf sign language static hand signs G06V40/113
• CPC Class Codes: H04L 63/08 for authentication of entities cryptographic mechanisms or cryptographic arrangements for entity authentication H04L9/32
• CPC Class Codes: H04L 63/0861 using biometrical features, e.g. fingerprint, retina-scan cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231
• CPC Class Codes: H04W 12/68 Gesture-dependent or behaviour-dependent

Abstract

A computer-implemented method, system, and program product comprises a gesture processing system for capturing a three-dimensional movement of a user, wherein the three-dimensional movement is determined using at least one stereoscopic image device aimed at the user to identify and track at least one particular three-dimensional movement of the user. The gesture processing system predicts at least one defined movement within the captured three-dimensional movement matching at least one gesture definition of at least one gesture type from among a plurality of gesture definitions. A resource control system receives a request to access a resource based on the predicted at least one gesture type. The resource control system only allows user access to the resource by matching the predicted at least one gesture type with at least one required gesture type.

Claims

1. A computer-implemented method for controlling access to a resource, comprising:

capturing a three-dimensional movement of a user, wherein the three-dimensional movement is determined using at least one image capture device aimed at the user;

predicting at least one gesture definition of at least one gesture type from among a plurality of gesture definitions matching at least one defined movement within the captured three-dimensional movement;

requesting access to the resource based on the predicted at least one gesture type; and

only allowing user access to the resource by matching the predicted at least one gesture type with at least one required gesture type.

2. The method according to claim 1, wherein capturing a three-dimensional movement of the user further comprises capturing the three-dimensional movement using a stereoscopic image device to identify and track a particular three-dimensional movement of the user.

3. The method according to claim 1, wherein predicting at least one gesture definition of at least one gesture type from among a plurality of gesture definitions matching at least one defined movement within the captured three-dimensional movement further comprises calculating a percentage probability that the at least one defined movement represents the at least one gesture type defined in the at least one gesture definition.

4. The method according to claim 1, wherein predicting at least one gesture definition of at least one gesture type from among a plurality of gesture definitions matching at least one defined movement within the captured three-dimensional movement further comprises calculating a percentage probability that the at least one defined movement maps to the at least one gesture type defined in the at least one gesture definition, wherein the at least one gesture definition specifies a particular gesture definition of the at least one gesture type by the user.

5. The method according to claim 1, wherein predicting at least one gesture definition of at least one gesture type from among a plurality of gesture definitions matching at least one defined movement within the captured three-dimensional movement further comprises identifying at least one of body movement of the user comprising at least one of a head movement, a facial expression, an eye movement, a muscle contraction, and a change in skin surface characteristics of the user within the at least one defined movement matching at least one of the plurality of gesture definitions.

6. The method according to claim 1, further comprising:

capturing a three-dimensional movement of a user, wherein the three-dimensional movement is determined using at least one image capture device aimed at the user;

predicting a sequence of at least one gesture type matching a sequence of a plurality of defined movements within the captured three-dimensional movement;

requesting access to the resource based on the sequence of predicted matching gesture types each specified according to a separate time range when captured; and

only allowing user access to the resource by matching the predicted matching gesture types at the separate time ranges with a required series of least one required gesture type with the separate time ranges matching a time-based pattern.

7. The method according to claim 1, further comprising:

generating an operation control signal for at least one computer system based the operation control signal matching the at least one gesture type.

8. The method according to claim 1, wherein the resource is a financial account.

10. The system according to claim 1, wherein the means for capturing a three-dimensional movement of the user further comprises means for capturing the three-dimensional movement using a stereoscopic image device to identify and track a particular three-dimensional movement of the user.

11. The system according to claim 1, wherein the means for predicting at least one gesture definition of at least one gesture type from among a plurality of gesture definitions matching at least one defined movement within the captured three-dimensional movement further comprises means for calculating a percentage probability that the at least one defined movement represents the at least one gesture type defined in the at least one gesture definition.

12. The system according to claim 1, wherein the means for predicting at least one gesture definition of at least one gesture type from among a plurality of gesture definitions matching at least one defined movement within the captured three-dimensional movement further comprises means for calculating a percentage probability that the at least one defined movement maps to the at least one gesture type defined in the at least one gesture definition, wherein the at least one gesture definition specifies a particular gesture definition of the at least one gesture type by the user.

13. The system according to claim 1, wherein the means for predicting at least one gesture definition of at least one gesture type from among a plurality of gesture definitions matching at least one defined movement within the captured three-dimensional movement further comprises means for identifying at least one of body movement of the user comprising at least one of a head movement, a facial expression, an eye movement, a muscle contraction, and a change in skin surface characteristics of the user within the at least one defined movement matching at least one of the plurality of gesture definitions.

14. The system according to claim 1, wherein the gesture processing system further comprises:

means for capturing a three-dimensional movement of a user, wherein the three-dimensional movement is determined using at least one image capture device aimed at the user;

means for predicting a sequence of at least one gesture type matching a sequence of a plurality of defined movements within the captured three-dimensional movement; and

,

wherein the resource control system further comprises;

means for requesting access to the resource based on the sequence of predicted matching gesture types each specified according to a separate time range when captured; and

means for only allowing user access to the resource by matching the predicted matching gesture types at the separate time ranges with a required series of least one required gesture type with the separate time ranges matching a time-based pattern.

15. The system according to claim 1, the resource control system further comprising means for generating an operation control signal for at least one computer system based the operation control signal matching the at least one gesture type.

9. A system for controlling access to a resource, comprising:

a gesture processing system communicative connected to a network, further comprising;

means for capturing a three-dimensional movement of a user, wherein the three-dimensional movement is determined using at least one image capture device aimed at the user; and

means for predicting at least one gesture definition of at least one gesture type from among a plurality of gesture definitions matching at least one defined movement within the captured three-dimensional movement;

a resource control system communicatively connected to the gesture processing system via the network, further comprising;

means for requesting access to the resource based on the predicted at least one gesture type; and

means for only allowing user access to the resource by matching the predicted at least one gesture type with at least one required gesture type.

16. A program product comprising a storage-type computer-usable medium including a computer-readable program for controlling access to a resource, wherein the computer-readable program when executed on a computer cause the computer to:

capture a three-dimensional movement of a user, wherein the three-dimensional movement is determined using at least one image capture device aimed at the user;

predict at least one gesture definition of at least one gesture type from among a plurality of gesture definitions matching at least one defined movement within the captured three-dimensional movement

request access to the resource based on the predicted at least one gesture type; and

only allow user access to the resource by matching the predicted at least one gesture type with at least one required gesture type.

17. The program product of claim 16, wherein said computer-readable program is transmitted over a network.

18. The program product of claim 16, wherein the computer-readable program when executed on the computer further causes the computer to capture the three-dimensional movement using a stereoscopic image device to identify and track a particular three-dimensional movement of the user.

19. The program product of claim 16, wherein the computer-readable program when executed on the computer further causes the computer to calculate a percentage probability that the at least one defined movement maps to the at least one gesture type defined in the at least one gesture definition, wherein the at least one gesture definition specifies a particular gesture definition of the at least one gesture type by the user.

20. The program product of claim 16, wherein the computer-readable program when executed on the computer further causes the computer to identify at least one of body movement of the user comprising at least one of a head movement, a facial expression, an eye movement, a muscle contraction, and a change in skin surface characteristics of the user within the at least on defined movement matching at least one of the plurality of gesture definitions.