# US 12,114,225 B2 · Detecting location within a network

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- Number: US 12,114,225 B2
- Document ID: US12114225B2
- Status: Granted
- Kind: B2
- Application number: 18/211,183
- Filed: 2023-06-16
- Published: 2023-10-19
- Granted: 2024-10-08
- Earliest claimed: 2015-09-16
- Assignees: Ivani, LLC
- Applicants: Ivani, LLC
- Inventors: John Wootton; Matthew Wootton; Chris Nissman; Victoria Preston; Jonathan Clark; Justin McKinney; Claire Barnes
- Web page: https://patentgrep.com/patent/US12114225B2

## CPC

- H04W 4/023: {using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds}
- G01V 3/12: operating with electromagnetic waves {(operating with millimetre waves G01V8/005)}
- G11C 11/2257: {Word-line or row circuits}
- G11C 11/2259: {Cell access}
- G11C 11/2273: {Reading or sensing circuits or methods}
- G11C 11/2293: {Timing circuits or methods}
- G11C 11/2297: {Power supply circuits}
- H04B 17/27: for locating or positioning the transmitter
- H04B 17/373: Predicting channel quality {or other radio frequency [RF]} parameters
- H04L 1/0018: {based on latency requirement}
- H04L 5/006: {Quality of the received signal, e.g. BER, SNR, water filling}
- H04L 67/10: in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46)
- 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
- H04L 67/131: Protocols for games, networked simulations or virtual reality
- H04L 67/54: Presence management, e.g. monitoring or registration for receipt of user log-on information, or the connection status of the users
- H04W 4/02: Services making use of location information
- H04W 4/029: Location-based management or tracking services
- H04W 4/30: Services specially adapted for particular environments, situations or purposes
- H04W 4/33: for indoor environments, e.g. buildings
- H04W 4/50: Service provisioning or reconfiguring
- H04W 4/80: Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
- H04W 64/00: Locating users or terminals {or network equipment} for network management purposes, e.g. mobility management
- G01V 1/001: {Acoustic presence detection}
- G11C 11/221: {using ferroelectric capacitors}
- H04W 52/283: {Power depending on the position of the mobile}
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)
- G01V: GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS (means for indicating the location of accidentally buried, e.g. snow-buried, persons A63B29/02)
- G11C: STATIC STORES (semiconductor memory devices H10B)
- H04B: TRANSMISSION
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)

## 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

### Claim 1

A method for detecting human presence in an area, the method comprising:
providing a plurality of transceivers in an area, said plurality automatically exchanging wireless signals bi-directionally, said wireless signals including status data about characteristics of said wireless signals;
receiving at a first transceiver in said plurality of transceivers, from a second transceiver in said plurality of transceivers, a first set of wireless signals, said first set of wireless signals having first status data;
receiving at said second transceiver from said first transceiver, a second set of wireless signals, said second set of wireless signals having second status data;
comparing said first status data and said second status data against a baseline signal profile representing status data of wireless signals exchanged by said first transceiver and said second transceiver when no human is present in said area;
comparing said first status data and said second status data against another signal profile representing status data of wireless signals exchanged by said first transceiver and said second transceiver when a human is present in said area;
determining whether a human is present within said area based at least in part on whether said first status data and said second status data is closer in said comparisons to said baseline signal profile or said another signal profile.

### Claim 2 (depends on 1)

The method of claim 1, further comprising:
determining a number of humans present within said area, said determination based at least in part on a comparison of said first status data and said second status data to said baseline signal profile and said another signal profile.

### Claim 3 (depends on 1)

The method of claim 1, further comprising:
determining a location of one or more humans present within said area, said determination based at least in part on a comparison of said first status data and said second status data to said baseline signal profile and said another signal profile.

### Claim 4 (depends on 1)

The method of claim 1, further comprising:
only after determining a human is present in said area, operating a second system which alters an environmental variable in said area where said wireless signals are being transmitted.

### Claim 5 (depends on 4)

The method of claim 4, wherein said second system is selected from the group consisting of: an electrical system; a lighting system; a heating, venting, and cooling (HVAC) system; and a security system.

### Claim 6 (depends on 1)

The method of claim 1, wherein said exchanging data bi-directionally via wireless signals utilizes a wireless communication protocol selected from the group consisting of: Bluetooth™, Bluetooth™ Low Energy, ANT, ANT+, WiFi, Zigbee, and Z-Wave.

### Claim 7 (depends on 1)

The method of claim 1 wherein said another signal profile is one of a plurality of signal profiles representing status data of wireless signals exchanged by said plurality of transceivers when a human is present in said area.

### Claim 8 (depends on 7)

The method of claim 7 wherein said first status data and said second status data are compared against other signal profiles in said plurality of signal profiles.

### Claim 9 (depends on 8)

The method of claim 8 wherein said comparison of said first status data and said second status data to said other signal profiles in said plurality of signal profiles is used to determine a number of humans present within said area.

### Claim 10 (depends on 9)

The method of claim 9 wherein said number of humans within said area is separately verified and said verification is used to refine said comparison to said other signal profiles.

### Claim 11 (depends on 10)

The method of claim 10 wherein said verification comprises determining said number via determining a number of fiducial elements carried by said humans present within said area.

### Claim 12 (depends on 10)

The method of claim 10 wherein said refining said comparison is performed by a machine learning methodology.

### Claim 13 (depends on 8)

The method of claim 8 wherein said comparison of said first status data and said second status data to said other signal profiles in said plurality of signal profiles is used to determine a location of said human within said area.

### Claim 14 (depends on 13)

The method of claim 13 wherein said location of said human within said area is separately verified and said verification is used to refine said comparison to said other signal profiles.

### Claim 15 (depends on 14)

The method of claim 14 wherein said verification comprises determining said location via determining a location of a fiducial element carried by said human within said area.

### Claim 16 (depends on 14)

The method of claim 14 wherein said refining said comparison is performed by a machine learning methodology.