Determining context of a mobile computer

• US 10,107,916 B2
• Filed: 06/19/2017
• Issued: 10/23/2018
• Est. Priority Date: 10/08/2010
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Vartanian, Harry, Jurikson-Rhodes, Jaron
• Primary Examiner(s): Pihulic, Daniel
• Application Number:
  US15/627,003
• Publication Number:
  US 20170285166A1
• Time in Patent Office: 491 Days
• CPC Class Codes: G01B 21/00 Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
• CPC Class Codes: G01S 15/06 Systems determining the position data of a target
• CPC Class Codes: G01S 15/08 Systems for measuring distance only indirect measurement G01S15/46
• CPC Class Codes: G01S 15/89 for mapping or imaging
• CPC Class Codes: G01S 17/06 Systems determining position data of a target
• CPC Class Codes: G01S 19/06 employing an initial estimate of the location of the receiver as aiding data or in generating aiding data
• CPC Class Codes: G01S 19/11 wherein the cooperating elements are pseudolites or satellite radio beacon positioning system signal repeaters
• CPC Class Codes: G01S 19/13 Receivers
• CPC Class Codes: G01S 19/17 Emergency applications
• CPC Class Codes: G01S 2013/466 by Trilateration, i.e. two antennas or two sensors determine separately the distance to a target, whereby with the knowledge of the baseline length, i.e. the distance between the antennas or sensors, the position data of the target is determined
• CPC Class Codes: G01S 2013/468 by Triangulation, i.e. two antennas or two sensors determine separately the bearing, direction or angle to a target, whereby with the knowledge of the baseline length, the position data of the target is determined
• CPC Class Codes: G01S 2015/465 by Trilateration, i.e. two transducers determine separately the distance to a target, whereby with the knowledge of the baseline length, i.e. the distance between the transducers, the position data of the target is determined
• CPC Class Codes: G01S 5/012 Identifying whether indoors or outdoors
• CPC Class Codes: G01S 5/013 Identifying areas in a building
• CPC Class Codes: G01S 5/015 between indoor and outdoor environments
• CPC Class Codes: G01S 5/0294 Trajectory determination or predictive filtering, e.g. target tracking or Kalman filtering
• CPC Class Codes: G06Q 30/0266 based on the position of the vehicle
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/30 : Services specially adapted for particular environments, situations or purposes
• CPC Class Codes: H04W 4/33 : for indoor environments, e.g. buildings
• CPC Class Codes: Y10S 367/907 : Coordinate determination

Abstract

A mobile computer may determine it is located in a vehicle or a conveyance based on a measured distance, satellite related positioning information, and a touch input.

Claims

1. A mobile device for tracking a location of the mobile device, the mobile device comprising:

at least one sensor configured to measure a doppler shift of a received signal; and

at least one processor configured to determine a distance between the mobile device and a conveyance based on the doppler shift, and identify whether the mobile device is in the conveyance based on the distance.

2. The mobile device of claim 1, wherein the at least one sensor is further configured to:

transmit a Wi-Fi signal; and

receive a reflected signal of the transmitted Wi-Fi signal as the received signal.

5. The mobile device of claim 1, wherein the at least one processor is further configured to:

control a transceiver to transmit a signal,

determine the distance based on the signal and the doppler shift,

compare the distance with at least one of a width and length of the conveyance, and

identify whether the mobile device is in the conveyance based on a result of the comparing.

6. The mobile device of claim 5, wherein the width and length of the conveyance is retrieved from the mobile device.

7. The mobile device of claim 5, wherein the width and length of the conveyance is obtained by communicating over a network proving a position.

8. The mobile device of claim 5, wherein the at least one processor is further configured to change a type of the signal according to a radio or acoustic characteristics of at least one room included in a nearby building.

9. The mobile device of claim 5, wherein the signal is at least one of a Wi-Fi signal, an ultra sound signal, an ultrasonic signal, a non-audible signal to humans sound, a near visible light signal, an infrared signal, a blue tooth signal, a radio frequency signal, or a low frequency signal.

3. A method for tracking a location of a mobile device, the method comprising:

measuring a doppler shift of a received signal; and

determining a distance between the mobile device and a conveyance based on the doppler shift, and identifying whether the mobile device is in the conveyance based on the distance.

4. The method of claim 3, further comprising:

transmitting a Wi-Fi signal; and

receiving a reflected signal of the transmitted Wi-Fi signal as the received signal.

10. The method of claim 3, wherein the determining of the distance comprises:

transmitting a signal;

determining the distance based on the signal and the doppler shift;

comparing the distance with at least one of a width and length of the conveyance; and

identifying whether the mobile device is in the conveyance based on a result of the comparing.

11. The method of claim 10, wherein the width and length of the conveyance is retrieved from the mobile device.

12. The method of claim 10, wherein the width and length of the conveyance is obtained by communicating over a network proving a position.

13. The method of claim 3, wherein a type of the signal is changed according to a radio or acoustic characteristics of at least one room included in a nearby building.

14. The method of claim 3, wherein the signal is at least one of a Wi-Fi signal, an ultra sound signal, an ultrasonic signal, a non-audible signal to humans sound, a near visible light signal, an infrared signal, a blue tooth signal, a radio frequency signal, or a low frequency signal.