Gesture-Based Device

• US 20160247137A1
• Filed: 05/03/2016
• Published: 08/25/2016
• Est. Priority Date: 12/21/2011
• Status: Active Grant

• Current Assignee: Maxwell Forest Pty Ltd
• Original Assignee: Maxwell Forest Pty Ltd
• Inventors: Beadle, Henry William Peter, Denton, Matthew Charles
• Granted Patent: US 9,547,855 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 2203/0383 Remote input, i.e. interface arrangements in which the signals generated by a pointing device are transmitted to a PC at a remote location, e.g. to a PC in a LAN
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06F 3/0346 with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors
• CPC Class Codes: G06Q 20/105 involving programming of a portable memory device, e.g. IC cards, "electronic purses"
• CPC Class Codes: G06Q 20/12 specially adapted for electronic shopping systems
• CPC Class Codes: G06Q 20/16 Payments settled via telecommunication systems
• CPC Class Codes: G06Q 20/32 using wireless devices
• CPC Class Codes: G06Q 20/322 Aspects of commerce using mobile devices [M-devices]
• CPC Class Codes: G06Q 20/3825 Use of electronic signatures
• CPC Class Codes: G06Q 20/40 Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
• CPC Class Codes: G06Q 20/401 Transaction verification
• CPC Class Codes: G06Q 20/40145 Biometric identity checks
• CPC Class Codes: G06Q 30/0609 Buyer or seller confidence or verification
• CPC Class Codes: G06Q 30/08 Auctions
• CPC Class Codes: G07C 2009/0096 Electronic keys comprising a non-biometric sensor
• CPC Class Codes: G07C 9/20 involving the use of a pass
• CPC Class Codes: G07F 9/001 Interfacing with vending machines using mobile or wearable devices
• CPC Class Codes: G07F 9/026 for alarm, monitoring and auditing in vending machines or means for indication, e.g. when empty
• CPC Class Codes: H04L 63/083 using passwords cryptographic mechanisms or cryptographic arrangements for entity authentication using a predetermined code H04L9/3226
• CPC Class Codes: H04W 12/068 using credential vaults, e.g. password manager applications or one time password [OTP] applications

Abstract

The use of gestures on a user device to interact with and obtain functionality from remote communication hub devices is disclosed. A user device includes an accelerometer or other motion detection device and a wireless communications capability. The device is small enough to be placed conveniently about the person and communicates with a communication hub device to perform context-dependent actions. A user makes a gestural command to the device. The device interprets the gesture and undertakes activity. The gestural sensing device may be a motion switch, a multi-axis accelerometer, a video camera, a variable capacitance device, a magnetic field sensor, an electrical field sensor etc. When combined with business logic running on a remote computer system, the device can be used to implement a range of applications and services.

Claims

1. A computer-implemented method for authorizing a transaction, the method comprising:

tracking, by a mobile user device, movements of the mobile user device;

determining, by the mobile user device, whether the tracked movements include an authorization gesture; and

responsive to determining that the tracked movements include the authorization gesture, transmitting, by the mobile user device, information to a mobile hub device, the mobile hub device awaiting authorization of an operation initiated by the user on the mobile hub device, the information causing the operation on the mobile hub device to be completed.

2. The computer implemented method of claim 1, wherein the operation initiated by the user on the mobile hub device is a transaction with a third party system.

3. The computer implemented method of claim 1, wherein the information is transmitted by the mobile user device to the mobile hub device via a connection initiated by the mobile user device.

4. The computer implemented method of claim 1, wherein the information is transmitted by the mobile user device to the mobile hub device via a connection initiated by the mobile hub device.

5. The computer implemented method of claim 1, wherein the transaction is a purchase transaction in respect of one or more items.

6. The computer implemented method of claim 1, wherein the operation is selected from a group comprising:

an online payment transaction with a third party system;

a transaction to access an account on a third party system;

an operation to authenticate access to the mobile hub device;

an operation to authorize an application being executed on the mobile hub device.

7. The computer implemented method of claim 1, wherein the information transmitted to the mobile hub device includes personal information of the user, the personal information of the user being used to complete the operation on the mobile device.

8. The computer implemented method of claim 7, wherein the operation involves one or more fields being presented to the user on the mobile hub device, and wherein the one or more fields are automatically filled based on the personal information transmitted to the mobile hub device.

9. The computer implemented method of claim 1, wherein the mobile user device includes one or more accelerometers and tracking movements comprises tracking accelerations associated with displacements of the mobile user device.

10. The computer implemented method of claim 1, wherein the mobile user device includes one or more motion detection devices for tracking movements of the mobile user device, and wherein the one or more motion detection devices are selected from a group comprising:

a motion switch, a video camera, a variable capacitance device, a magnetic field sensor, and an electric field sensor.

11. The computer implemented method of claim 1, wherein the authorization gesture is selected from a group comprising:

the user making one or more of tapping movements with the mobile user device;

the user waving the mobile user device;

the user simulating opening a lock using the mobile user device as a key.

12. The computer implemented method of claim 1, wherein the mobile user device has a credit card form factor.

13. The method computer implemented method of claim 1, wherein the mobile user device is one of a key fob, a mobile phone, a mobile tablet.

14. The computer implemented method of claim 1, wherein the mobile hub device is a smartphone, laptop, or tablet.

15. The computer implemented method of claim 1, wherein the operation is completed responsive to the authorization gesture being performed and the mobile user device being within a certain distance from the mobile hub device.

16. The computer implemented method of claim 1, wherein the movements of the mobile user device are tracked in response to a broadcast message transmitted by the mobile hub device based on the operation, the broadcast message including a first session key and the transmitted information including a second session key matching the first session key.

17. The computer implemented method of claim 1, wherein determining whether the tracked movements include the authorization gesture comprises:

storing a plurality of templates, each of the plurality of templates associated with a different gesture and indicating movements of the mobile user device corresponding to the associated gesture, an authorization template associated with the authorization gesture included in the plurality of templates;

calculating, for each of the plurality of templates, a correlation coefficient based on correlation of the tracked movements to the template;

calculating, for each of the plurality of templates, an error value based on correlation of the tracked movements to the template; and

responsive to the correlation coefficient calculated for the authorization template being above a correlation threshold and the error value calculated for the authorization template being below an error threshold, determining that the tracked movements include the authorization gesture.

18. The method of claim 17, wherein correlation of the tracked movements to each of the plurality of templates is determined using a dynamic time warping algorithm.

19. A non-transitory computer readable storage medium storing computer-executable instructions which when executed by one or more processor cause the one or more processors to perform steps comprising:

tracking, by a mobile user device, movements of the mobile user device;

determining, by the mobile user device, whether the tracked movements include an authorization gesture; and

responsive to determining that the tracked movements include the authorization gesture, transmitting, by the mobile user device, information to a mobile hub device, the mobile hub device awaiting authorization of an operation initiated by the user on the mobile hub device, the information causing the operation on the mobile hub device to be completed.