Techniques For Automatically Distinguishing Between Users Of A Handheld Device

• US 20160011699A1
• Filed: 09/24/2015
• Published: 01/14/2016
• Est. Priority Date: 08/15/2008
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Harrison, Beverly, LaMarca, Anthony G., Hightower, Jeffrey R., Rea, Adam D.
• Application Number:
  US14/864,701
• Publication Number:
  US 20160011699A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/01 Input arrangements or combined input and output arrangements for interaction between user and computer G06F3/16 takes precedence
• 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: G06F 3/04817 using icons graphical or visual programming using iconic symbols G06F8/34
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text
• CPC Class Codes: G06F 3/167 Audio in a user interface, e.g. using voice commands for navigating, audio feedback
• CPC Class Codes: G10L 15/08 Speech classification or search
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/2668 Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063
• CPC Class Codes: H04N 21/414 Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance
• CPC Class Codes: H04N 21/42201 biosensors, e.g. heat sensor for presence detection, EEG sensors or any limb activity sensors worn by the user input arrangements for interaction with the human body based on nervous system activity detection G06F3/015
• CPC Class Codes: H04N 21/4222 Remote control device emulator integrated into a non-television apparatus, e.g. a PDA, media center or smart toy remote control device for a television receiver integrated into a mobile phone H04M1/72415
• CPC Class Codes: H04N 21/42224 Touch pad or touch panel provided on the remote control
• CPC Class Codes: H04N 21/4415 using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning cryptography using biological data H04L9/3231; authentication in networks using biometric H04L63/0861
• CPC Class Codes: H04N 21/44218 Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program methods or arrangements for recognising human body or animal bodies or body parts G06V40/10; methods or arrangements for acquiring or recognising human faces, facial parts, facial sketches, facial expressions G06V40/16; methods or arrangements for recognising movements or behaviour G06V40/20; arrangements for identifying users in broadcast systems H04H60/45
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/4751 for defining user accounts, e.g. accounts for children
• CPC Class Codes: H04N 7/165 Centralised control of user terminal subsequent to an upstream request signal H04N7/17345; Registering at central by two-way working H04N7/17309
• CPC Class Codes: H04N 7/17318 Direct or substantially direct transmission and handling of requests
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 8/183 : Processing at user equipment or user record carrier

Abstract

Various embodiments for automatically distinguishing between users of a handheld device are described. An embodiment includes collecting sensor data from a user interacting with a handheld device, where the sensor data is collected via embedded sensors in the handheld device. The embodiment further includes distinguishing the user from other users of the handheld device via the collected sensor data, at least one embedded machine learning algorithm and a profile for the user. Other embodiments are described and claimed.

Claims

1-24. -24. (canceled)

25. A portable handheld device capable of wirelessly communicating with a remote processor via a network, the portable handheld device comprising:

embedded sensors capable of sensing information, when the portable handheld device is in operation, for use in determination, at least in part, of user touch gestures, the user touch gestures being associated with, at least in part, selection of services to be provided via, at least in part, the remote processor, the information being related to capacitance information, user applied pressure information, and accelerometer information associated with the device, the user applied pressure information being associated, at least in part, with pressure applied to the device via a user'"'"'s hand; and

a display.

26. The portable handheld device of claim 25, wherein:

the device is also capable of permitting, when the device is in the operation;

icon selection; and

user voice-based input for use in voice recognition.

27. The portable handheld device of claim 25, wherein:

the accelerometer information is capable of being used to determine, at least in part, orientation of the device.

28. The portable handheld device of claim 25, wherein:

the device is capable of encrypting and storing user health condition information that is to be provided to another device.

29. The portable handheld device of claim 25, wherein:

the portable handheld device is a handheld telephone device.

30. The portable handheld device of claim 25, wherein:

the services comprise media downloading and/or media streaming.

31. The portable handheld device of claim 25, wherein:

the portable handheld device comprises a smartphone.

32. The portable handheld device of claim 25, wherein:

the device is also capable of determining, at least in part, physical location of the device.

33. The portable handheld device of claim 25, wherein:

the device comprises a cellular telephone.

34. The portable handheld device of claim 25, wherein:

the device also comprises at least one input/output (I/O) module capable of permitting, when the device is in the operation, user input to the device for use in the determination of the user gestures.

35. At least one non-transitory machine-readable medium storing instructions for use by a portable handheld device, the instructions, when executed, resulting in the portable handheld device being capable of performing operations comprising:

wirelessly communicating with a remote processor via a network;

determining, at least in part, based at least in part upon information sensed by embedded sensors comprised in the device, user touch gestures, the user touch gestures being associated with, at least in part, selection of services to be provided via, at least in part, the remote processor, the information being related to capacitance information, user applied pressure information, and accelerometer information associated with the device, the user applied pressure information being associated, at least in part, with pressure applied to the device via a user'"'"'s hand, the device also comprising a display.

36. The at least one machine-readable medium of claim 35, wherein:

the instructions when executed also result in the device being capable of permitting;

icon selection; and

user voice-based input for use in voice recognition.

37. The at least one machine-readable medium of claim 35, wherein:

the accelerometer information is capable of being used to determine, at least in part, orientation of the device.

38. The at least one machine-readable medium of claim 35, wherein:

the device is capable of encrypting and storing user health condition information that is to be provided to another device.

39. The at least one machine-readable medium of claim 35, wherein:

the portable handheld device is a handheld telephone device.

40. The at least one machine-readable medium of claim 35, wherein:

the services comprise media downloading and/or media streaming.

41. The at least one machine-readable medium of claim 35, wherein:

the portable handheld device comprises a smartphone.

42. The at least one machine-readable medium of claim 35, wherein:

the device is also capable of determining, at least in part, physical location of the device.

43. The at least one machine-readable medium of claim 35, wherein:

the device comprises a cellular telephone.

44. The at least one machine-readable medium of claim 35, wherein:

the device also comprises at least one input/output (I/O) module capable of permitting, when the device is in the operation, user input to the device for use in determination of the user gestures.