Detecting location within a network

• US 10,397,742 B2
• Filed: 08/02/2018
• Issued: 08/27/2019
• Est. Priority Date: 09/16/2015
• Status: Active Grant

• Current Assignee: Ivani, LLC
• Original Assignee: Ivani, LLC
• Inventors: Wootton, John, Wootton, Matthew, Nissman, Chris, Preston, Victoria, Clark, Jonathan, McKinney, Justin, Barnes, Claire
• Primary Examiner(s): Heiber, Shantell L
• Application Number:
  US16/053,761
• Publication Number:
  US 20190020976A1
• Time in Patent Office: 390 Days
• CPC Class Codes: G01V 1/001 Acoustic presence detection
• CPC Class Codes: G01V 3/12 operating with electromagnetic waves operating with millimetre waves G01V8/005
• CPC Class Codes: G11C 11/221 using ferroelectric capacitors
• CPC Class Codes: G11C 11/2257 Word-line or row circuits
• CPC Class Codes: G11C 11/2259 Cell access
• CPC Class Codes: G11C 11/2273 Reading or sensing circuits or methods
• CPC Class Codes: G11C 11/2293 Timing circuits or methods
• CPC Class Codes: G11C 11/2297 Power supply circuits
• CPC Class Codes: H04B 17/27 for locating or positioning the transmitter
• CPC Class Codes: H04B 17/318 Received signal strength
• CPC Class Codes: H04B 17/373 Predicting channel quality or other radio frequency [RF] parameters
• CPC Class Codes: H04L 1/0018 based on latency requirement
• CPC Class Codes: H04L 5/006 Quality of the received signal, e.g. BER, SNR, water filling
• 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 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/131 Protocols for games, networked simulations or virtual reality
• CPC Class Codes: H04L 67/54 Presence management, e.g. monitoring or registration for receipt of user log-on information, or the connection status of the users
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• 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: H04W 4/50 : Service provisioning or reconfiguring
• CPC Class Codes: H04W 4/80 : Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• CPC Class Codes: H04W 52/283 : Power depending on the position of the mobile
• CPC Class Codes: H04W 64/00 : Locating users or terminals or network equipment for network management purposes, e.g. mobility management

Abstract

Systems and methods for detecting the presence of a body in a network without fiducial elements, using signal absorption, and signal forward and reflected backscatter of RF waves caused by the presence of a biological mass in a communications network.

Claims

1. A method for detecting motion within a space, the method comprising:

providing a plurality of transceivers within a space;

providing a processor communicably coupled to each transceiver in said plurality of transceivers;

at a first time, a first transceiver and a second transceiver in said plurality of transceivers each receiving an initial set of wireless signals from a third transceiver in said plurality of transceivers;

said processor receiving an initial set of signal data from said first transceiver, said initial set of signal data from said first transceiver comprising data about the properties of said initial set of wireless signals as received by said first transceiver;

said processor receiving an initial set of signal data from said second transceiver, said initial set of signal data from said second transceiver comprising data about the properties of said initial set of wireless signals as received by said second transceiver;

said processor creating an initial signal profile based at least in part on said wireless signal properties in said initial set of signal data from said first transceiver and said initial set of signal data from said second transceiver;

at a second time, said first transceiver and said second transceiver each receiving a new set of wireless signals from said third transceiver;

said processor receiving a new set of signal data from said first transceiver, said new set of signal data from said first transceiver comprising data about the properties of said new set of wireless signals as received by said first transceiver;

said processor receiving a new set of signal data from said second transceiver, said new set of signal data from said second transceiver comprising data about the properties of said new set of wireless signals as received by said second transceiver;

said processor creating a new signal profile based at least in part on said wireless signal properties in said new set of signal data from said first transceiver and said new set of signal data from said second transceiver; and

said processor comparing said new signal profile to said initial signal profile to detect motion of an object within said space between said first time and said second time.

2. The method of claim 1 wherein said processor also determines a location of said motion by comparing said new signal profile to said initial signal profile.

3. The method of claim 1, wherein said initial set of signal data from said first transceiver comprises wireless network signal protocol properties determined by said first transceiver.

4. The method of claim 3, wherein said initial set of signal data from said second transceiver comprises wireless network signal protocol properties determined by said second transceiver.

5. The method of claim 4, wherein said wireless network signal protocol properties determined by said first transceiver and said wireless network signal protocol properties determined by said second transceiver are both selected from the group consisting of:

received signal strength, latency, and bit error rate.

6. The method of claim 1, wherein said processor applies statistical methods to said new signal profile and to said initial signal profile to detect motion of said object within said space between said first time and said second time.

7. The method of claim 6, wherein said processor applies statistical methods to said new signal profile to said initial signal profile to determine a location of motion of said object within said space between said first time and said second time.

8. The method of claim 1, further comprising:

said processor being operatively coupled to a second system; and

only after said processor detects motion in said space, said processor operates said second system.

9. The method of claim 8, wherein said second system is selected from the group consisting of:

an electrical system;

a lighting system;

a heating, venting, and cooling (HVAC) system;

a security system; and

, an industrial automation system.

10. The method of claim 1, wherein said object is a human being.

11. A non-transitory computer-readable storage medium storing instructions that are operable when executed by a processor to perform operations comprising:

receiving an initial set of signal data from a first transceiver and an initial set of signal data from a second transceiver, said initial set of signal data from said first transceiver comprising data about properties of an initial set of wireless signals transmitted from a third transceiver as received by said first transceiver, and said initial set of signal data from said second transceiver comprising data about properties of said initial set of wireless signals transmitted from said third transceiver as received by said second transceiver;

creating an initial signal profile based at least in part on said wireless signal properties in said initial set of signal data from said first transceiver and said initial set of signal data from said second transceiver;

receiving a new set of signal data from a first transceiver and a new set of signal data from a second transceiver, said new set of signal data from said first transceiver comprising data about properties of a new set of wireless signals transmitted from a third transceiver as received by said first transceiver, and said new set of signal data from said second transceiver comprising data about properties of said new set of wireless signals transmitted from said third transceiver as received said second transceiver;

creating a new signal profile based at least in part on said wireless signal properties in said new set of signal data from said first transceiver and said new set of signal data from said second transceiver;

comparing said new signal profile to said initial signal profile to detect motion of an object within said space.

12. The storage medium of claim 11, wherein said initial set of signal data from said first transceiver comprises wireless network signal protocol properties determined by said first transceiver.

13. The storage medium of claim 12, wherein said initial set of signal data from said second transceiver comprises wireless network signal protocol properties determined by said second transceiver.

14. The storage medium of claim 13, wherein said wireless network signal protocol properties determined by said first transceiver and said wireless network signal protocol properties deteimined by said second transceiver are both selected from the group consisting of:

received signal strength, latency, and bit error rate.

15. The storage medium of claim 11, wherein statistical methods are applied to said new signal profile and to said initial signal profile to detect motion of said object within said space.

16. The storage medium of claim 11 including storing instructions that are operable when executed by a processor to determine a location of said motion by comparing said new signal profile to said initial signal profile.

17. The storage medium of claim 16, wherein statistical methods are applied to said new signal profile and to said initial signal profile to determine said location of said motion.

18. The storage medium of claim 11, including storing instructions that are operable when executed by a processor to operate a second system.

19. The storage medium of claim 18 wherein said second system is selected from the group consisting of:

an electrical system;

a lighting system;

a heating, venting, and cooling (HVAC) system;

a security system; and

, an industrial automation system.

20. The method of claim 11, wherein said object is a human being.