WO2019075552A1 - LOCATING MOVEMENT IN A WIRELESS MESH NETWORK BASED ON TIME FACTORS - Google Patents
LOCATING MOVEMENT IN A WIRELESS MESH NETWORK BASED ON TIME FACTORS Download PDFInfo
- Publication number
- WO2019075552A1 WO2019075552A1 PCT/CA2018/050051 CA2018050051W WO2019075552A1 WO 2019075552 A1 WO2019075552 A1 WO 2019075552A1 CA 2018050051 W CA2018050051 W CA 2018050051W WO 2019075552 A1 WO2019075552 A1 WO 2019075552A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- motion
- wireless communication
- wireless
- devices
- sequence
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S11/00—Systems for determining distance or velocity not using reflection or reradiation
- G01S11/02—Systems for determining distance or velocity not using reflection or reradiation using radio waves
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/003—Bistatic radar systems; Multistatic radar systems
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/50—Systems of measurement based on relative movement of target
- G01S13/52—Discriminating between fixed and moving objects or between objects moving at different speeds
- G01S13/56—Discriminating between fixed and moving objects or between objects moving at different speeds for presence detection
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/74—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems
- G01S13/76—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems wherein pulse-type signals are transmitted
- G01S13/765—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems wherein pulse-type signals are transmitted with exchange of information between interrogator and responder
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/74—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems
- G01S13/76—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems wherein pulse-type signals are transmitted
- G01S13/767—Responders; Transponders
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/886—Radar or analogous systems specially adapted for specific applications for alarm systems
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/28—Details of pulse systems
- G01S7/285—Receivers
- G01S7/292—Extracting wanted echo-signals
- G01S7/2921—Extracting wanted echo-signals based on data belonging to one radar period
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/415—Identification of targets based on measurements of movement associated with the target
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/417—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section involving the use of neural networks
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/22—Electrical actuation
- G08B13/24—Electrical actuation by interference with electromagnetic field distribution
- G08B13/2491—Intrusion detection systems, i.e. where the body of an intruder causes the interference with the electromagnetic field
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/20—Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
Definitions
- FIG. 1C illustrates example communication paths defining a communication link between wireless communication devices
- FIG. 5A is a table of example sequence values indicated by wireless signals transmitted and received in the wireless communication system of FIGS. 4A and 4B according to a scenario of one-hundred percent (100%] throughputs;
- FIG. 5B is a table of example sequence values indicated by motion probe signals received in the wireless communication system of FIGS. 4A and 4B according to a scenario of various throughputs;
- the wireless communication devices 102A, 102B, 102C can be, or they may include, standard wireless network components.
- the wireless communication devices 102A, 102B, 102C may be commercially- available Wi-Fi access points or another type of wireless access point (WAP] performing one or more operations as described herein that are embedded as instructions (e.g., software or firmware] on the modem of the WAP.
- WAP wireless access point
- the wireless communication devices 102A, 102B, 102C may be nodes of a wireless mesh network, such as, for example, a commercially-available mesh network system (e.g., GOOGLE WIFI].
- another type of standard or conventional Wi-Fi transmitter device may be used.
- a baseband subsystem in the modem 112 can include, for example, digital electronics configured to process digital baseband data.
- the baseband subsystem may include a baseband chip 111, as illustrated in FIG. IB.
- a baseband subsystem may include additional or different components.
- the baseband subsystem may include a digital signal processor (DSP] device or another type of processor device.
- the baseband system includes digital processing logic to operate the radio subsystem, to communicate wireless network traffic through the radio subsystem, to detect motion based on motion detection signals received through the radio subsystem or to perform other types of processes.
- the baseband subsystem includes conversion circuitry (e.g., a digital-to-analog converter, an analog-to-digital converter] and exchanges analog signals with the radio subsystem.
- the radio subsystem includes conversion circuitry (e.g., a digital-to- analog converter, an analog-to-digital converter] and exchanges digital signals with the baseband subsystem.
- the wireless communication devices 102A, 102B transmit wireless signals (e.g., according to a wireless network standard, a motion detection protocol, or otherwise].
- wireless communication devices 102A, 102B may broadcast wireless signals (e.g., reference signals, beacon signals, status signals, etc.], or they may send wireless signals addressed to other devices (e.g., a user equipment, a client device, a server, etc.], and the other devices (not shown] as well as the wireless communication device 102 C may receive the wireless signals transmitted by the wireless communication devices 102A, 102B.
- the wireless signals transmitted by the wireless communication devices 102A, 102B are repeated
- the wireless communication device 102C processes the wireless signals from the wireless communication devices 102A, 102B to detect motion of an object in a space accessed by the wireless signals, to determine a location of the detected motion, or both.
- the wireless communication device 102C may perform one or more operations of the example process 600 of FIG. 6, or another type of process for detecting motion or determining a location of detected motion.
- the space accessed by the wireless signals can be an indoor or outdoor space, which may include, for example, one or more fully or partially enclosed areas, an open area without enclosure, etc.
- the space can be or can include an interior of a room, multiple rooms, a building, or the like.
- the wireless signals used for motion detection can include, for example, a beacon signal (e.g., Bluetooth Beacons, Wi-Fi Beacons, other wireless beacon signals], another standard signal generated for other purposes according to a wireless network standard, or non-standard signals (e.g., random signals, reference signals, etc.] generated for motion detection or other purposes.
- the wireless signals propagate through an object (e.g., a wall] before or after interacting with a moving object, which may allow the moving object's movement to be detected without an optical line-of-sight between the moving object and the transmission or receiving hardware.
- the third wireless communication device 102 C may generate motion detection data.
- the third wireless communication device 102 C may generate motion detection data.
- communication device 102 C may communicate the motion detection data to another device or system, such as a security system, that may include a control center for monitoring movement within a space, such as a room, building, outdoor area, etc.
- a security system such as a security system
- a control center for monitoring movement within a space, such as a room, building, outdoor area, etc.
- each wireless communication device 102 detects motion in the motion detection fields 110 accessed by that device by processing received signals that are based on wireless signals transmitted by the wireless communication devices 102 through the motion detection fields 110. For example, when the person 106 shown in FIG. 1A moves in the first motion detection field 110A and the third motion detection field HOC, the wireless communication devices 102 may detect the motion based on signals they received that are based on wireless signals transmitted through the respective motion detection fields 110. For instance, the first wireless communication device 102A can detect motion of the person in both motion detection fields 110A, HOC, the second wireless communication device 102B can detect motion of the person 106 in the motion detection field HOC, and the third wireless communication device 102C can detect motion of the person 106 in the motion detection field HOA.
- wireless signals transmitted on a wireless communication channel are used to detect movement of an object in a space.
- the objects can be any type of static or moveable object, and can be living or inanimate.
- the object can be a human (e.g., the person 106 shown in FIG. 1A], an animal, an inorganic object, or another device, apparatus, or assembly], an object that defines all or part of the boundary of a space (e.g., a wall, door, window, etc.], or another type of object.
- the signal hardware paths include multiple antennas of the modems.
- a communication path may be defined by multiple antennas at a first modem 112 A and multiple antennas at a third modem 112C.
- each communication path is between a transmitter (e.g., one or more transmit antennas] of a first wireless communication device of the pair and a receiver (e.g., one or more receive antennas] of a second wireless communication device of the pair.
- a transmitter e.g., one or more transmit antennas] of a first wireless communication device of the pair
- a receiver e.g., one or more receive antennas] of a second wireless communication device of the pair.
- a modem 112 includes two transmitters and two receivers, which provide four communication paths per modem. In other modem configurations, a different number of transmitters and receivers could be included, such as two transmitters and four receivers, which provide eight RF communication paths.
- the motion probe signal 202 is transmitted by a wireless device (e.g., the wireless communication device 102A shown in FIG. 1A] and received at a motion detection device (e.g., the motion detector device 102C shown in FIG. 1A].
- the control data 204 changes with each transmission, for example, to indicate the time of transmission or updated parameters.
- the motion data 206 can remain unchanged in each transmission of the motion probe signal 202.
- the motion detection device can process the received signals based on each transmission of the motion probe signal 202, and analyze the motion data 206 for changes. For instance, changes in the motion data 206 may indicate movement of an object in a space accessed by the wireless transmission of the motion probe signal 202.
- the motion data 206 can then be processed, for example, to generate a response to the detected motion.
- Equation (2] an output signal r fe (t) from a path k may be described according to Equation (2]:
- a beacon wireless signal 406 is transmitted by the hub device 404 (as shown in FIG. 4A], and in response to receiving the beacon wireless signal 406, each of the remote sensor devices 402 transmits a motion probe signal (the motion probe signals 408, 410, 412, 414 as shown in FIG. 4B].
- a motion probe signal the motion probe signals 408, 410, 412, 414 as shown in FIG. 4B.
- an object 416 e.g., person
- a signal path of the motion probe signals can be added, removed, or otherwise modified due to the movement as described above.
- the hub device 404 transmits an example beacon wireless signal 406 in an omnidirectional manner.
- the beacon wireless signal 406 can be transmitted in another manner (e.g., in another beam pattern, such as a non- omnidirectional pattern].
- the hub 404 can broadcast the beacon wireless signal 406.
- the propagation of the beacon wireless signal 406 across distances is illustrated by dashed-line, concentric circles.
- the remote sensor devices 402 receive the beacon wireless signal 406 and perform one or more operations based on the received beacon wireless signal 406.
- the hub 404 transmits beacons sequentially, namely, transmitting the beacon wireless signal 406 at a first time, and transmitting a subsequent beacon wireless signal a second, later time.
- the MIVs may include aggregate MIVs (representing a degree of motion detected in the aggregate by the respective device 402], link MIVs (representing a degree of motion detected on particular communication links between respective devices 402], path MIVs
- a binary weighting e.g., weighting values of zero (0] or one (1] are used] is applied based on whether the maximum sequence value for the communication link is within a threshold sequence range of the reference sequence value.
- the MIVs for Link IDs 1 and 7 are weighted to zero (0] because their maximum sequence value is not within 10 of the reference sequence value of 1008.
- Another weighting technique can be implemented instead of the binary technique shown. For instance, a gradual weighting method that applies a weighting factor between zero (0] and one (1] can be used.
- the confidence factor can then be used to determine the location of the detected motion. For instance, in the example shown, the hub device 404 can determine that the detected motion is nearest device ID A since it is the device with the highest confidence factor (peak to average ratio; in both the weighted and unweighted cases]. In some cases, such as where the number of users is less than the number of remote sensor devices 402, the hub device 404 can extend the confidence factor to determine that there is motion at the corresponding devices. For example, if the wireless communication system 400 includes 5 total devices and 1 user, then the wireless communication device that has the highest peak to average ratio that is above a threshold peak to average ratio value would indicate the likelihood that the user is near the wireless communication device that has the highest confidence factor. Similarly, if wireless communication system 400 includes 5 total devices and 2 users, then the top two confidence factors above a certain value may indicate the likelihood the users are near the two devices that have the two highest confidence factors.
- the example process 600 may include additional or different operations, and the operations may be performed in the order shown or in another order.
- one or more of the operations shown in FIG. 6 are implemented as processes that include multiple operations, sub-processes or other types of routines.
- operations can be combined, performed in another order, performed in parallel, iterated, or otherwise repeated or performed another manner.
- the motion indicator values are processed.
- the motion indicator values may be processed by a designated hub device (e.g., the hub device 404 in the example shown in FIGS. 4A and 4B], or by another system communicably coupled to the devices transmitting or sending motion probe signals.
- processing the motion indicator values for the respective communication links includes computing an aggregate motion indicator value for the wireless communication devices.
- Computing the aggregate motion indicator values may include, in some instances, computing a sum of each link motion indicator value associated with the wireless communication device. For instance, referring to the example shown in FIGS. 5C-5D, the values in the second column of table 540 include sums of the link motion indicator values shown in table 530.
- the summed link motion indicator values may be used as the aggregate motion indicator values at 612 to determine a location of detected motion in some cases.
- the determined location may be indicated with respect to Device ID A (e.g., "Detected motion near Device ID A”] based on Device ID A having the highest sum of link motion indicator values or highest peak to average ratio of all the devices.
- the determined location is with respect to multiple wireless communication devices. For instance, referring to the example shown in FIGS. 5C-5D, the determined location may be indicated with respect to Device IDs A and B (e.g., "Detected motion near Device IDs A and B"] based on those devices having peak to average ratios (in the weighted scenario] greater than one (1].
- the communication paths can be weighted based on a signal quality metric value for the communication path, and the weighted values for the communication paths can be used to determine the motion indicator values for the communication link.
- the motion indicator values for the communication paths can be used in the same manner as described herein with respect to the use of motion indicator values for the communication links (e.g., the path motion indicator values may be used at 610 to compute the aggregate motion indicator values for the communication devices instead of the link motion indicator values].
- Time factors may also be computed for each respective communication path in the same manner as described above for the communication links. In some instances, the time factors may be used to compute the time factors for the respective communication links, or may be used in lieu of the time factors for the respective communication links (e.g., the path time factors may be used at 610 instead of the link time factors].
- a computer storage medium is not a propagated signal
- a computer storage medium can be a source or destination of computer program instructions encoded in an artificially generated propagated signal.
- the computer storage medium can also be, or be included in, one or more separate physical components or media (e.g., multiple CDs, disks, or other storage devices].
- a computer program may, but need not, correspond to a file in a file system.
- a program can be stored in a portion of a file that holds other programs or data (e.g., one or more scripts stored in a markup language document], in a single file dedicated to the program, or in multiple coordinated files (e.g., files that store one or more modules, sub programs, or portions of code].
- a computer program can be deployed to be executed on one computer or on multiple computers that are located at one site or distributed across multiple sites and interconnected by a communication network.
- Some of the processes and logic flows described in this specification can be performed by one or more programmable processors executing one or more computer programs to perform actions by operating on input data and generating output.
- the processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array] or an ASIC (application specific integrated circuit].
- Devices suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices, including by way of example semiconductor memory devices (e.g., EPROM, EEPROM, flash memory devices, and others], magnetic disks (e.g., internal hard disks, removable disks, and others], magneto optical disks, and CD ROM and DVD-ROM disks.
- semiconductor memory devices e.g., EPROM, EEPROM, flash memory devices, and others
- magnetic disks e.g., internal hard disks, removable disks, and others
- magneto optical disks e.g., CD ROM and DVD-ROM disks.
- the processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.
- Implementations of the first example may, in some cases, include one or more of the following features.
- Time factors are computed, by operation of one or more processors, for each respective pair of the wireless communication devices based on sequence values included in respective wireless signals transmitted and received between the pair of the wireless
- Computing the time factor for each communication link may include determining whether a maximum sequence value included in a subset of the wireless signals received on the communication link is within a threshold sequence range of the reference sequence value.
- the sequence values may be provided as inputs to a neural network, and the time factors may be computed based on an output of the neural network.
- a computer-readable storage medium stores instructions that are operable when executed by a data processing apparatus to perform one or more operations of the first or second example.
- a system e.g., a wireless communication device, computer system or other type of system communicatively coupled to the wireless communication device] includes one or more data processing apparatuses and a memory storing instructions that are operable when executed by the data processing apparatus to perform one or more operations of the first or second example.
- a motion detection system includes a hub device and one or more remote sensor devices that are configured to perform one or more operations of the first or second example.
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Electromagnetism (AREA)
- Signal Processing (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Mobile Radio Communication Systems (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2020518656A JP7075486B2 (ja) | 2017-10-20 | 2018-01-17 | 時間ファクタに基づくワイヤレスメッシュネットワーク内の動きローカライゼーション |
CN201880063991.4A CN111213064A (zh) | 2017-10-20 | 2018-01-17 | 基于时间因子的无线网状网络中的运动位置确定 |
CA3076837A CA3076837A1 (en) | 2017-10-20 | 2018-01-17 | Motion localization in a wireless mesh network based on time factors |
EP18868071.4A EP3679390A4 (en) | 2017-10-20 | 2018-01-17 | LOCATION OF A MOVEMENT IN A WIRELESS MESH NETWORK BASED ON TIME FACTORS |
KR1020207009280A KR102502594B1 (ko) | 2017-10-20 | 2018-01-17 | 타임 팩터들에 기반한 무선 메시 네트워크 내 모션 로컬화 |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201715789815A | 2017-10-20 | 2017-10-20 | |
US15/789,815 | 2017-10-20 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2019075552A1 true WO2019075552A1 (en) | 2019-04-25 |
Family
ID=66173140
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CA2018/050051 WO2019075552A1 (en) | 2017-10-20 | 2018-01-17 | LOCATING MOVEMENT IN A WIRELESS MESH NETWORK BASED ON TIME FACTORS |
Country Status (6)
Country | Link |
---|---|
EP (1) | EP3679390A4 (zh) |
JP (1) | JP7075486B2 (zh) |
KR (1) | KR102502594B1 (zh) |
CN (1) | CN111213064A (zh) |
CA (1) | CA3076837A1 (zh) |
WO (1) | WO2019075552A1 (zh) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114026887A (zh) * | 2019-04-30 | 2022-02-08 | 认知系统公司 | 控制无线感测系统中的装置参与 |
WO2022192987A1 (en) * | 2021-03-15 | 2022-09-22 | Cognitive Systems Corp. | Generating and displaying metrics of interest based on motion data |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120146788A1 (en) * | 2010-12-13 | 2012-06-14 | Xandem Technology Llc | Systems and methods of device-free motion detection and presence detection |
WO2016110844A1 (en) * | 2015-01-07 | 2016-07-14 | Trekeye Systems Ltd. | Improved method and system for detection of changes in a defined area |
US20170278374A1 (en) * | 2016-03-23 | 2017-09-28 | Fedex Corporate Services, Inc. | Methods and systems for motion-based management of an enhanced logistics container |
Family Cites Families (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6879257B2 (en) | 2002-02-25 | 2005-04-12 | Omron Corporation | State surveillance system and method for an object and the adjacent space, and a surveillance system for freight containers |
US7751829B2 (en) * | 2003-09-22 | 2010-07-06 | Fujitsu Limited | Method and apparatus for location determination using mini-beacons |
TWI475847B (zh) * | 2008-04-16 | 2015-03-01 | Koninkl Philips Electronics Nv | 存在及移動偵測之被動雷達 |
US8810388B2 (en) * | 2011-02-23 | 2014-08-19 | Peter G. Jacobs | Position tracking and mobility assessment system |
JP2013072756A (ja) | 2011-09-28 | 2013-04-22 | Sumitomo Electric Ind Ltd | 侵入検知システム、侵入検知用子機、侵入検知用親機、侵入検知方法および侵入検知プログラム |
CN103096462B (zh) * | 2012-12-21 | 2015-03-04 | 太原理工大学 | 一种无线传感器网络非测距节点定位方法 |
WO2014120649A1 (en) * | 2013-01-31 | 2014-08-07 | P.W. Precyse Wireless Ltd. | Method of controlling location monitoring and reporting |
CN103913721B (zh) * | 2014-04-18 | 2016-05-25 | 山东大学 | 一种基于人工神经网络的室内人员智能感知方法 |
CA2958888C (en) * | 2014-08-28 | 2023-02-28 | Retailmenot, Inc. | Reducing the search space for recognition of objects in an image based on wireless signals |
CN107110964B (zh) * | 2014-10-31 | 2023-08-15 | 西门子瑞士有限公司 | 用于在无线电范围、尤其是室内区域的无线电范围中检测对象和/或生物的移动的方法、数字工具、设备和系统 |
US9474042B1 (en) | 2015-09-16 | 2016-10-18 | Ivani, LLC | Detecting location within a network |
US10156852B2 (en) | 2016-01-05 | 2018-12-18 | Locix, Inc. | Systems and methods for using radio frequency signals and sensors to monitor environments |
KR101697542B1 (ko) * | 2016-07-29 | 2017-01-18 | 아스텔 주식회사 | 모션 감지용 펄스 도플러 레이더 장치 및 모션감지 방법 |
-
2018
- 2018-01-17 EP EP18868071.4A patent/EP3679390A4/en active Pending
- 2018-01-17 WO PCT/CA2018/050051 patent/WO2019075552A1/en unknown
- 2018-01-17 CA CA3076837A patent/CA3076837A1/en active Pending
- 2018-01-17 KR KR1020207009280A patent/KR102502594B1/ko active IP Right Grant
- 2018-01-17 JP JP2020518656A patent/JP7075486B2/ja active Active
- 2018-01-17 CN CN201880063991.4A patent/CN111213064A/zh active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120146788A1 (en) * | 2010-12-13 | 2012-06-14 | Xandem Technology Llc | Systems and methods of device-free motion detection and presence detection |
WO2016110844A1 (en) * | 2015-01-07 | 2016-07-14 | Trekeye Systems Ltd. | Improved method and system for detection of changes in a defined area |
US20170278374A1 (en) * | 2016-03-23 | 2017-09-28 | Fedex Corporate Services, Inc. | Methods and systems for motion-based management of an enhanced logistics container |
Non-Patent Citations (1)
Title |
---|
See also references of EP3679390A4 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114026887A (zh) * | 2019-04-30 | 2022-02-08 | 认知系统公司 | 控制无线感测系统中的装置参与 |
CN114026919A (zh) * | 2019-04-30 | 2022-02-08 | 认知系统公司 | 控制无线运动感测系统中的无线连接 |
CN114026887B (zh) * | 2019-04-30 | 2023-11-10 | 认知系统公司 | 控制无线感测系统中的装置参与 |
US11823543B2 (en) | 2019-04-30 | 2023-11-21 | Cognitive Systems Corp. | Controlling device participation in wireless sensing systems |
CN114026919B (zh) * | 2019-04-30 | 2023-12-29 | 认知系统公司 | 控制无线运动感测系统中的无线连接 |
WO2022192987A1 (en) * | 2021-03-15 | 2022-09-22 | Cognitive Systems Corp. | Generating and displaying metrics of interest based on motion data |
Also Published As
Publication number | Publication date |
---|---|
JP2020537743A (ja) | 2020-12-24 |
EP3679390A4 (en) | 2021-05-19 |
EP3679390A1 (en) | 2020-07-15 |
KR102502594B1 (ko) | 2023-02-23 |
KR20200075820A (ko) | 2020-06-26 |
JP7075486B2 (ja) | 2022-05-25 |
CN111213064A (zh) | 2020-05-29 |
CA3076837A1 (en) | 2019-04-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10438468B2 (en) | Motion localization in a wireless mesh network based on motion indicator values | |
EP3676634B1 (en) | Detecting motion based on decompositions of channel response variations | |
EP3596495B1 (en) | Selecting wireless communication channels based on signal quality metrics | |
US9933517B1 (en) | Time-alignment of motion detection signals using buffers | |
KR102466973B1 (ko) | 모션 탐지를 위한 라디오 상태 제어 | |
KR102502594B1 (ko) | 타임 팩터들에 기반한 무선 메시 네트워크 내 모션 로컬화 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 18868071 Country of ref document: EP Kind code of ref document: A1 |
|
ENP | Entry into the national phase |
Ref document number: 3076837 Country of ref document: CA |
|
ENP | Entry into the national phase |
Ref document number: 2020518656 Country of ref document: JP Kind code of ref document: A |
|
ENP | Entry into the national phase |
Ref document number: 2018868071 Country of ref document: EP Effective date: 20200407 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |