ADJUSTING MOBILE DEVICE STATE BASED ON USER INTENTIONS AND/OR IDENTITY

• US 20180067536A1
• Filed: 10/31/2017
• Published: 03/08/2018
• Est. Priority Date: 05/03/2011
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Toksvig, Michael John McKenzie, Papakipos, Matthew Nicholas, Ondrejka, Cory Rudolph
• Granted Patent: US 10,620,685 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 1/1626 with a single-body enclosure integrating a flat display, e.g. Personal Digital Assistants [PDAs]
• CPC Class Codes: G06F 1/1686 the I/O peripheral being an integrated camera
• CPC Class Codes: G06F 1/169 the I/O peripheral being an integrated pointing device, e.g. trackball in the palm rest area, mini-joystick integrated between keyboard keys, touch pads or touch stripes G06F1/1643 takes precedence; constructional details of pointing devices G06F3/033
• CPC Class Codes: G06F 1/1694 the I/O peripheral being a single or a set of motion sensors for pointer control or gesture input obtained by sensing movements of the portable computer
• CPC Class Codes: G06F 1/3231 Monitoring the presence, absence or movement of users
• CPC Class Codes: G06F 21/31 User authentication
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06F 21/44 Program or device authentication
• CPC Class Codes: G06F 21/604 Tools and structures for managing or administering access control systems
• CPC Class Codes: G06F 2200/1637 Sensing arrangement for detection of housing movement or orientation, e.g. for controlling scrolling or cursor movement on the display of an handheld computer
• CPC Class Codes: G06F 2203/0339 Touch strips, e.g. orthogonal touch strips to control cursor movement or scrolling; single touch strip to adjust parameter or to implement a row of soft keys
• CPC Class Codes: G06F 2221/2111 Location-sensitive, e.g. geographical location, GPS
• CPC Class Codes: G06F 3/04186 Touch location disambiguation
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• 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: H04L 63/10 for controlling access to devices or network resources
• CPC Class Codes: H04L 63/126 the source of the received data
• CPC Class Codes: H04L 63/166 at the transport layer
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network
• CPC Class Codes: H04L 67/306 : User profiles
• CPC Class Codes: H04L 9/3231 : Biological data, e.g. fingerprint, voice or retina network architectures or network communication protocols for supporting authentication of entities using biometrical features in a packet data network H04L63/0861
• CPC Class Codes: H04W 52/0258 : controlling an operation mode according to history or models of usage information, e.g. activity schedule or time of day
• CPC Class Codes: H04W 52/0274 : by switching on or off the equipment or parts thereof
• CPC Class Codes: Y02B 70/30 : Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02D 10/00 : Energy efficient computing, e.g. low power processors, power management or thermal management
• CPC Class Codes: Y02D 30/70 : in wireless communication networks

Abstract

In one embodiment, a method includes receiving sensor data, while a mobile electronic device associated with a member of a social-networking system is in a first operation state, from one or more sensors of the mobile electronic device and obtaining characteristic information maintained by the social-networking system, the social-networking system being remote from the mobile electronic device. The method also includes verifying that a current user of the mobile electronic device is the member by comparing the sensor data to the characteristic information. The method also includes, in response to the verifying, transitioning from the first operation state to a second operation state.

Claims

1. A method comprising:

by a mobile electronic device associated with a member of a social-networking system, receiving sensor data, while the mobile electronic device is in a first operation state, from one or more sensors of the mobile electronic device;

by the mobile electronic device, obtaining characteristic information maintained by the social-networking system, the social-networking system being remote from the mobile electronic device;

by the mobile electronic device, verifying that a current user of the mobile electronic device is the member by comparing the sensor data to the characteristic information; and

by the mobile electronic device, in response to the verifying, transitioning from the first operation state to a second operation state.

2. The method of claim 1, wherein:

while in the first operation state, a screen of the mobile electronic device is turned off; and

while in the second operation state, the screen of the mobile electronic device is turned on.

3. The method of claim 1, wherein:

while in the first operation state, the mobile electronic device is locked; and

while in the second operation state, the mobile electronic device is unlocked.

4. The method of claim 1, wherein:

the sensor data comprises imaging data; and

the comparing the sensor data to the characteristic information comprises comparing the imaging data with an image representing the face of the member.

5. The method of claim 4, further comprising:

analyzing the imaging data using a facial recognition algorithm.

6. The method of claim 1, wherein the characteristic information comprises:

a distance the member typically holds the mobile electronic device from the member'"'"'s face;

a typical distance between the member'"'"'s pocket and the position where the member typically holds the mobile electronic device in front of the member'"'"'s face;

one or more times of the day when the member typically uses the mobile electronic device;

one or more locations where the member typically uses the mobile electronic device;

or

one or more other devices typically connected to the mobile electronic device.

7. The method of claim 1, wherein the comparing the sensor data to the characteristic information comprises:

determining characteristic information of the user by analyzing the sensor data; and

comparing the determined characteristic information with the characteristic information maintained by the social-networking system.

8. The method of claim 1, wherein the verifying comprises:

calculating a probability that the current user is the member; and

determining that the probability is greater than a predefined threshold.

9. The method of claim 8, wherein the predefined threshold is set by the member of the social-networking system.

10. One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

receive sensor data, while a mobile electronic device associated with a member of a social-networking system is in a first operation state, from one or more sensors of the mobile electronic device;

obtain characteristic information maintained by the social-networking system, the social-networking system being remote from the mobile electronic device;

verify that a current user of the mobile electronic device is the member by comparing the sensor data to the characteristic information; and

in response to the verifying, transition from the first operation state to a second operation state.

11. The media of claim 10, wherein:

while in the first operation state, a screen of the mobile electronic device is turned off; and

while in the second operation state, the screen of the mobile electronic device is turned on.

12. The media of claim 10, wherein:

while in the first operation state, the mobile electronic device is locked; and

while in the second operation state, the mobile electronic device is unlocked.

13. The media of claim 10, wherein:

the sensor data comprises imaging data; and

the comparing the sensor data to the characteristic information comprises comparing the imaging data with an image representing the face of the member.

14. The media of claim 13, wherein the software is further operable when executed to:

analyze the imaging data using a facial recognition algorithm.

15. The media of claim 10, wherein the characteristic information comprises:

a distance the member typically holds the mobile electronic device from the member'"'"'s face;

a typical distance between the member'"'"'s pocket and the position where the member typically holds the mobile electronic device in front of the member'"'"'s face;

one or more times of the day when the member typically uses the mobile electronic device;

one or more locations where the member typically uses the mobile electronic device;

or

one or more other devices typically connected to the mobile electronic device.

16. The media of claim 10, wherein the comparing the sensor data to the characteristic information comprises:

determining characteristic information of the user by analyzing the sensor data; and

comparing the determined characteristic information with the characteristic information maintained by the social-networking system.

17. The media of claim 10, wherein the verifying comprises:

calculating a probability that the current user is the member; and

determining that the probability is greater than a predefined threshold.

18. The media of claim 17, wherein the predefined threshold is set by the member of the social-networking system.

19. A system comprising:

one or more processors; and

one or more computer-readable non-transitory storage media coupled to one or more of the processors and comprising instructions operable when executed by one or more of the processors to cause the system to;

receive sensor data, while a mobile electronic device associated with a member of a social-networking system is in a first operation state, from one or more sensors of the mobile electronic device;

obtain characteristic information maintained by the social-networking system, the social-networking system being remote from the mobile electronic device;

verify that a current user of the mobile electronic device is the member by comparing the sensor data to the characteristic information; and

in response to the verifying, transition from the first operation state to a second operation state.

20. The system of claim 19, wherein:

while in the first operation state, a screen of the mobile electronic device is turned off; and

while in the second operation state, the screen of the mobile electronic device is turned on.