Categorizing motion detected using wireless signals

• US 9,927,519 B1
• Filed: 03/16/2017
• Issued: 03/27/2018
• Est. Priority Date: 03/16/2017
• Status: Active Grant

• Current Assignee: Cognitive Systems Corp.
• Original Assignee: Cognitive Systems Corp.
• Inventors: Omer, Mohammad, Devison, Stephen Arnold, Piao, Yunfeng, Griesdorf, Dustin, Manku, Tajinder, Kravets, Oleksiy, Olekas, Christopher Vytautas
• Primary Examiner(s): Gregory, Bernarr E
• Application Number:
  US15/461,125
• Time in Patent Office: 376 Days
• CPC Class Codes: G01S 13/003 Bistatic radar systems; Multistatic radar systems
• CPC Class Codes: G01S 13/46 Indirect determination of position data
• CPC Class Codes: G01S 13/56 for presence detection presence detection using near field arrangements G01V3/00, e.g. G01V3/08, G01V3/12; burglar, theft or intruder alarms with electrical actuation G08B13/22 - G08B13/26
• CPC Class Codes: G01S 13/878 Combination of several spaced transmitters or receivers of known location for determining the position of a transponder or a reflector G01S13/874 takes precedence
• CPC Class Codes: G01S 2013/462 using multipath signals
• CPC Class Codes: G01S 5/0273 using multipath or indirect path propagation signals in position determination
• CPC Class Codes: G01S 7/006 using shared front-end circuitry, e.g. antennas G01S13/765, G01S13/825 take precedence
• CPC Class Codes: G08B 13/2491 Intrusion detection systems, i.e. where the body of an intruder causes the interference with the electromagnetic field

Abstract

In a general aspect, motion detected using wireless signals is categorized. In some aspects, frequency response signals are obtained. The frequency response signals are based on wireless signals that were transmitted through a space and received at a wireless sensor device over a time period. Values of a statistical parameter are determined for the time period, with the statistical parameter for the time period being based on a function applied to frequency components of the frequency response signals over the time period. A category of motion that occurred in the space during the time period is identified based on the values of the statistical parameter.

Claims

1. A motion detection method comprising:

obtaining frequency response signals based on wireless signals transmitted through a space during a time period and received at a wireless sensor device;

by operation of one or more processors, determining values of a first statistical parameter for the time period by applying a first function to frequency components of the frequency response signals;

by operation of one or more processors, determining values of a second statistical parameter for the time period by applying a second function to frequency components of the frequency response signals; and

identifying a category of motion that occurred in the space during the time period based on the values of the first and second statistical parameters.

2. The method of claim 1, wherein the first statistical parameter comprises at least one of the maximum, minimum, mean, or standard deviation of the frequency components.

3. The method of claim 1, wherein identifying a category of motion comprises comparing the values of the first and second statistical parameters with reference values of the first and second statistical parameters.

4. The method of claim 3, wherein the reference values of the first and second statistical parameters comprise entries in a motion detection database that associates distinct categories of motion with respective patterns of values of the first and second statistical parameters.

5. The method of claim 1, comprising:

by operation of one or more processors, determining a pattern in the values of the first and second statistical parameters; and

identifying a category of motion that occurred in the space during the time period based on the pattern.

6. The method of claim 5, wherein the pattern in the values of the first and second statistical parameters includes a range of values, a correlation between values, or a periodically repeating sequence of values.

7. The method of claim 1, wherein each value of the first and second statistical parameters is determined for a time segment of the time period.

8. A motion detection method comprising:

obtaining frequency response signals based on wireless signals transmitted through a space and received at a wireless sensor device, a first subset of the frequency response signals associated with a first time period and based on wireless signals transmitted through the space during the first time period, a second subset of the of the frequency response signals associated with a second, different time period and based on wireless signals transmitted through the space during the second time period;

by operation of one or more processors, determining values of a first statistical parameter for the first and second time periods by applying a first function to frequency components of the respective subsets of the frequency response signals;

by operation of one or more processors, determining values of a second statistical parameter for the first and second time periods by applying a second function to frequency components of the respective subsets of the frequency response signals;

identifying, out of the values of the first and second statistical parameters, a pattern of values associated exclusively with the first time period; and

associating, in a motion detection database, the pattern of values with a category of motion that occurred in the space exclusively during the first time period.

9. The method of claim 8, wherein the category of motion indicates motion by a particular type of object.

10. The method of claim 8, comprising obtaining motion data indicating a presence of a moving object in the space exclusively during the first time period, wherein the pattern of values is associated with the category of motion based on the motion data.

11. The method of claim 8, comprising, after associating the pattern of values with the category of motion, using the motion detection database to identify that the category of motion occurred in the space during a third time period based on additional wireless signals transmitted through the space during the third time period.

12. The method of claim 8, wherein the category of motion comprises a first category, the pattern of values comprises a first pattern, and the motion detection database associates distinct categories of motion with respective patterns of values of the statistical parameter.

13. The method of claim 8, wherein identifying the pattern of values associated exclusively with the first time period comprises identifying a range of values associated exclusively with the first time period.

14. The method of claim 8, wherein identifying the pattern of values associated exclusively with the first time period comprises identifying a correlation between values associated exclusively with the first time period.

15. The method of claim 8, wherein each value of the first and second statistical parameters is determined for a time segment of the respective time periods.

16. A system comprising:

a data processing apparatus; and

a non-transitory computer-readable medium storing instructions that are operable when executed by the data processing apparatus to perform operations comprising;

obtaining frequency response signals based on wireless signals transmitted through a space during a time period and received at a wireless sensor device;

determining values of a first statistical parameter for the time period by applying a first function to frequency components of the frequency response signals;

determining values of a second statistical parameter for the time period by applying a second function to frequency components of the frequency response signals; and

identifying a category of motion that occurred in the space during the time period based on the values of the first and second statistical parameters.

17. The system of claim 16, wherein the first statistical parameter comprises at least one of the maximum, minimum, mean, or standard deviation of the frequency components.

18. The system of claim 16, wherein identifying a category of motion comprises comparing the values of the first and second statistical parameters with reference values of the first and second statistical parameters.

19. The system of claim 18, wherein the reference values of the first and second statistical parameters comprise entries in a motion detection database that associates distinct categories of motion with respective patterns of values of the first and second statistical parameters.

20. The system of claim 16, wherein the operations comprise:

determining a pattern in the values of the first and second statistical parameters; and

identifying a category of motion that occurred in the space during the time period based on the pattern.

21. The system of claim 20, wherein the pattern in the values of the first and second statistical parameters includes a range of values, a correlation between values, or a periodically repeating sequence of values.

22. The system of claim 16, wherein each value of the first and second statistical parameters is determined for a time segment of the time period.

23. A system comprising:

a data processing apparatus; and

a non-transitory computer-readable medium storing instructions that are operable when executed by the data processing apparatus to perform operations comprising;

obtaining frequency response signals based on wireless signals transmitted through a space and received at a wireless sensor device, a first subset of the frequency response signals associated with a first time period and based on wireless signals transmitted through the space during the first time period, a second subset of the of the frequency response signals associated with a second, different time period and based on wireless signals transmitted through the space during the second time period;

determining values of a first statistical parameter for the first and second time periods by applying a first function to frequency components of the respective subsets of the frequency response signals;

determining values of a second statistical parameter for the first and second time periods by applying a second function to frequency components of the respective subsets of the frequency response signals;

identifying, out of the values of the first and second statistical parameters, a pattern of values associated exclusively with the first time period; and

associating, in a motion detection database, the pattern of values with a category of motion that occurred in the space exclusively during the first time period.

24. The system of claim 23, wherein the category of motion indicates motion by a particular type of object.

25. The system of claim 23, comprising obtaining motion data indicating a presence of a moving object in the space exclusively during the first time period, wherein the pattern of values is associated with the category of motion based on the motion data.

26. The system of claim 23, comprising, after associating the pattern of values with the category of motion, using the motion detection database to identify that the category of motion occurred in the space during a third time period based on additional wireless signals transmitted through the space during the third time period.

27. The system of claim 23, wherein the category of motion comprises a first category, the pattern of values comprises a first pattern, and the motion detection database associates distinct categories of motion with respective patterns of values of the statistical parameter.

28. The system of claim 23, wherein identifying the pattern of values associated exclusively with the first time period comprises identifying a range of values associated exclusively with the first time period.

29. The system of claim 23, wherein identifying the pattern of values associated exclusively with the first time period comprises identifying a correlation between values associated exclusively with the first time period.

30. The system of claim 23, each value of the first and second statistical parameters is determined for a time segment of the respective time periods.