Method, apparatus, and system for wireless motion monitoring

• US 10,291,460 B2
• Filed: 08/11/2018
• Issued: 05/14/2019
• Est. Priority Date: 12/05/2012
• Status: Active Grant

• Current Assignee: Origin Wireless, Inc.
• Original Assignee: Origin Wireless, Inc.
• Inventors: Zhang, Feng, Chen, Chen, Wang, Beibei, Lai, Hung-Quoc Duc, Au, Oscar Chi-Lim, Liu, K. J. Ray
• Primary Examiner(s): Liu, Harry K
• Application Number:
  US16/101,444
• Publication Number:
  US 20180351775A1
• Time in Patent Office: 276 Days
• Field of Search: 342451
• CPC Class Codes: G01S 13/50 Systems of measurement based on relative movement of target
• 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: G08B 13/181 using active radiation detection systems
• CPC Class Codes: H04B 1/38 Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving
• CPC Class Codes: H04B 17/309 Measuring or estimating channel quality parameters
• CPC Class Codes: H04L 27/362 Modulation using more than one carrier, e.g. with quadrature carriers, separately amplitude modulated H04L27/366 takes precedence
• CPC Class Codes: H04W 72/21 in the uplink direction of a wireless link, i.e. towards the network

Abstract

Methods, apparatus and systems for object motion detection are disclosed. In one example, a system having at least a processor and a memory with a set of instructions stored therein for detecting object motion in a venue is disclosed. The system comprises: a first wireless device configured for transmitting a wireless signal through a wireless multipath channel impacted by a motion of an object in the venue; and a second wireless device that has a different type from that of the first wireless device and is configured for: receiving the wireless signal through the wireless multipath channel impacted by the motion of the object in the venue, and obtaining a time series of channel information (CI) of the wireless multipath channel based on the wireless signal; and a motion detector configured for detecting the motion of the object in the venue based on motion information related to the motion of the object, wherein the motion information associated with the first and second wireless devices is computed based on the time series of CI by at least one of: the motion detector and the second wireless device.

Claims

1. A system for detecting object motion in a venue, comprising:

a transmitter configured for transmitting a wireless signal through a wireless multipath channel impacted by a motion of an object in the venue; and

a receiver configured for;

receiving the wireless signal through the wireless multipath channel impacted by the motion of the object in the venue, and

obtaining a time series of channel information (CI) of the wireless multipath channel based on the wireless signal;

a processor configured for computing motion information related to the motion of the object based on the time series of CI obtained by the receiver, wherein computing the motion information comprises;

comparing a current window of the time series of CI with a past window of the time series of CI, and

computing asynchronously a heterogeneous similarity score between the current window and the past window of the time series of CI; and

a motion detector configured for detecting the motion of the object in the venue based on the motion information and the heterogeneous similarity score.

2. The system of claim 1, wherein:

the processor is coupled to at least one of;

the receiver, and

the motion detector; and

the motion detector is coupled to at least one of;

the transmitter,

the receiver,

an additional transmitter,

an additional receiver,

a cloud server,

a fog server,

a local server, and

an edge server.

3. The system of claim 1, wherein:

the system further comprises at least one of;

at least one additional transmitter, and at least one additional receiver;

the transmitters and the receivers form a plurality of pairs of transmitters and receivers;

for each pair of transmitter and receiver comprising a transmitter and a receiver;

the respective transmitter is configured for transmitting a respective wireless signal through the wireless multipath channel impacted by the motion of the object in the venue,

the respective receiver is configured for receiving the respective wireless signal through the wireless multipath channel and obtaining a respective time series of CI of the wireless multipath channel based on the respective wireless signal, and

at least one of the motion detector and the respective receiver is configured for asynchronously computing respective heterogeneous motion information related to the motion of the object based on the respective time series of CI; and

at least one of the motion detector and the receivers is configured for performing at least one of;

monitoring the motion of the object in the venue individually and asynchronously based on the asynchronously computed heterogeneous motion information associated with a pair of transmitter and receiver;

monitoring the motion of the object in the venue jointly and asynchronously based on the asynchronously computed heterogeneous motion information associated with any pair of transmitter and receiver comprising a particular receiver,

monitoring the motion of the object in the venue jointly and asynchronously based on the asynchronously computed heterogeneous motion information associated with any pair of transmitter and receiver comprising a particular transmitter, and

monitoring the motion of the object in the venue globally and asynchronously based on the asynchronously computed heterogeneous motion information associated with any pair of transmitter and receiver.

4. The system of claim 1, wherein

the heterogeneous similarity score is computed based on at least one of:

a distance score, an absolute distance, a Euclidean distance, a norm, a metric, a statistical characteristic, a time reversal resonating strength (TRRS), a cross-correlation, an auto-correlation, a covariance, an auto-covariance, an inner product of two vectors,

a preprocessing, a signal conditioning, a denoising, a phase correction, a timing correction, a timing compensation, a phase offset compensation, a transformation, a projection, a filtering,

a feature extraction, a finite state machine, a history of past similarity score, another past window of the at least one CI time series, a component-wise operation, machine learning, a neural network, a deep learning, a training, a discrimination,

a weighted averaging, and another operation,

wherein the motion of the object in the venue is detected based on the computed heterogeneous similarity score.

5. The system of claim 1, wherein:

each CI of the time series of CI has at least one component;

for each of the at least one component, at least one of the motion detector and the receiver is further configured for;

determining asynchronously a respective current component window of the component based on a current time window,

determining asynchronously a respective past component window of the component based on a past time window,

comparing component-wise the respective current component window with the respective past component window asynchronously to generate a comparison result,

monitoring component-wise the motion of the object based on the comparison result, and

detecting the motion of the object in the venue based on the asynchronous component-wise comparing.

6. The system of claim 5, wherein at least one of the motion detector and the receiver is further configured for:

for each of the at least one component, computing asynchronously a component similarity score associated with the respective current component window and the respective past component window, based on at least one of;

a distance score, a norm, a metric, a statistical characteristic, a time reversal resonating strength (TRRS), a cross-correlation, an auto-correlation, a covariance, an auto-covariance, an inner product of two vectors, a preprocessing, a signal conditioning, a denoising, a phase correction, a timing correction, a timing compensation, a phase offset compensation, a transformation, a projection, a filtering, a feature extraction, a finite state machine, a history of past similarity score, another past window of the at least one time series of CI, a component-wise operation, machine learning, a neural network, a deep learning, a training, a discrimination, a weighted averaging, and another operation;

computing asynchronously a heterogeneous similarity score based on a heterogeneous function of the at least one component similarity score, wherein the heterogeneous function comprises at least one of;

a representative value, a typical value, a weighted average, a percentile, a maximum, a minimum, a 40% quartile, a 50% quartile, a 60% quartile, a mean, a median, a mode, a sum, a product, a root, an arithmetic mean, a geometric mean, a harmonic mean, a generalized mean, an ordered statistics, a trimmed mean, a statistical function, an expected value, a variance, a selected one, and another function; and

detecting the motion of the object in the venue when the heterogeneous similarity score is greater than or equal to a first threshold.

7. The system of claim 5, wherein at least one of the motion detector and the receiver is further configured for:

for each of the at least one component, computing asynchronously a component similarity score associated with the respective current component window and the respective past component window, based on at least one of;

a distance score, a norm, a metric, a statistical characteristic, a time reversal resonating strength (TRRS), a cross-correlation, an auto-correlation, a covariance, an auto-covariance, an inner product of two vectors, a preprocessing, a signal conditioning, a denoising, a phase correction, a timing correction, a timing compensation, a phase offset compensation, a transformation, a projection, a filtering, a feature extraction, a finite state machine, a history of past similarity score, another past window of the at least one time series of CI, a component-wise operation, machine learning, a neural network, a deep learning, a training, a discrimination, a weighted averaging, and another operation;

for each of the at least one component, detecting component-wise the motion of the object asynchronously when the respective component similarity score is greater than or equal to a respective component threshold; and

detecting the motion of the object in the venue when a percentage of component-wise motion detection in a selected group of components is greater than or equal to a second threshold.

8. The system of claim 1, further comprising:

a third wireless device configured for transmitting an additional heterogeneous wireless signal through an additional wireless multipath channel impacted by the motion of the object in the venue; and

a fourth wireless device that has a different type from that of the third wireless device and is configured for;

receiving the additional heterogeneous wireless signal through the additional wireless multipath channel impacted by the motion of the object in the venue, and

obtaining a time series of additional channel information (CI) of the additional wireless multipath channel based on the additional heterogeneous wireless signal, wherein the additional CI of the additional wireless multipath channel is associated with a different protocol or configuration from that associated with the CI of the wireless multipath channel,

wherein the motion detector is configured to detect the motion of the object in the venue based on both the motion information associated with the transmitter and the receiver and additional motion information associated with the third and fourth wireless devices computed by at least one of;

an additional motion detector and the fourth wireless device based on the time series of additional CI.

9. The system of claim 1, further comprising a supervisory device configured for:

partitioning a map of the venue into a plurality of regions;

associating asynchronously the motion of the object with at least one of the plurality of regions of the map of the venue based on heterogeneous motion information received from the receivers.

10. The system of claim 9, wherein:

the system further comprises at least one of;

at least one additional transmitter, and at least one additional receiver;

the transmitters and the receivers form a plurality of pairs of transmitters and receivers;

for each pair of transmitter and receiver comprising a transmitter and a receiver, the respective transmitter is configured for transmitting a respective wireless signal through the wireless multipath channel impacted by the motion of the object in the venue, and the respective receiver is configured for;

receiving the respective wireless signal through the wireless multipath channel,

obtaining a respective time series of CI of the wireless multipath channel based on the respective wireless signal, and

asynchronously computing respective heterogeneous motion information related to the motion of the object based on the respective time series of CI; and

at least one of the motion detector and the receivers is configured for performing at least one of;

partitioning a respective feature space of each of the heterogeneous motion information into a plurality of respective feature segments;

constructing a respective mapping that associates each respective feature segment with at least one of the plurality of regions of the map of the venue;

associating asynchronously the motion of the object individually with at least one of the plurality of regions of the map of the venue based on the respective mapping;

partitioning a joint feature space of heterogeneous motion information associated with a plurality of pairs of transmitters and receivers into a plurality of joint feature segments;

constructing a joint mapping that associates each joint feature segment with at least one of the plurality of regions of the map of the venue; and

associating asynchronously the motion of the object jointly with a particular one of the plurality of regions of the map of the venue based on the joint mapping.

11. The system of claim 10, wherein:

for each pair of transmitter and receiver comprising a transmitter and a receiver, the respective receiver is configured for computing asynchronously a respective heterogeneous similarity score between a respective current window and a respective past window of the respective time series of CI; and

at least one of the motion detector and the receivers is configured for performing at least one of;

detecting the motion of the object in the venue individually and asynchronously when a first function of the respective heterogeneous similarity score associated with a pair of transmitter and receiver is greater than or equal to a respective individual threshold,

detecting the motion of the object in the venue jointly and asynchronously when a second function of the heterogeneous similarity scores associated with any pair of transmitter and receiver comprising a particular receiver is greater than or equal to a respective joint threshold,

detecting the motion of the object in the venue jointly and asynchronously when a third function of the heterogeneous similarity scores associated with any pair of transmitter and receiver comprising a particular transmitter is greater than or equal to another respective joint threshold, and

detecting the motion of the object in the venue globally and asynchronously when a fourth function of the heterogeneous similarity scores associated with any pair of transmitter and receiver is greater than or equal to a respective global threshold.

12. The system of claim 10, further comprising:

a monitoring device configured for signaling asynchronously information associated with at least one of;

the map of the venue, the plurality of partitioned regions of the map,

regions associated with any detected motion of the object,

heterogeneous motion information associated with at least one pair of transmitter and receiver,

the component-wise similarity score,

the heterogeneous similarity score,

past motion information, past similarity score, another past information,

transmitters, and receivers.

13. A method of a wireless monitoring system, comprising:

wherein the wireless monitoring system comprises at least one asynchronous heterogeneous transmitter and at least one asynchronous heterogeneous receiver;

wherein the wireless monitoring system comprises at least one pair of transmitter and receiver, each pair comprising one of the at least one asynchronous heterogeneous transmitter, and one of the at least one asynchronous heterogeneous receiver;

wherein each of the at least one receiver is in at least one respective particular pair of transmitter and receiver;

wherein each receiver is associated with at least one respective particular transmitter through the at least one respective particular pair of transmitter and receiver;

for each receiver, and for each of the at least one respective particular pair of transmitter and receiver comprising the receiver;

obtaining asynchronously at least one respective time series of channel information (CI) of a wireless multipath channel impacted by a motion of an object in a venue,

wherein the at least one respective time series of CI (CI time series) associated with the particular pair of transmitter and receiver is extracted asynchronously from a respective asynchronous heterogeneous wireless signal,

wherein the respective asynchronous heterogeneous wireless signal is transmitted asynchronously from a respective one of the at least one respective particular transmitter to at least one asynchronous heterogeneous receiver through the wireless multipath channel, and

computing asynchronously at least one respective heterogeneous motion information associated with the motion of the object based on the at least one respective time series of CI associated with the respective particular pair of transmitter and receiver; and

at least one of;

monitoring the motion of the object in the venue individually and asynchronously based on asynchronously computed heterogeneous motion information associated with a pair of transmitter and receiver comprising a particular receiver,

monitoring the motion of the object jointly and asynchronously based on asynchronously computed heterogeneous motion information associated with any of the at least one pair of transmitter and receiver associated with the particular receiver,

monitoring the motion of the object jointly and asynchronously based on asynchronously computed heterogeneous motion information associated with any of the at least one pair of transmitter and receiver associated with one of the at least one respective particular transmitter, and

monitoring the motion of the object globally and asynchronously based on asynchronously computed heterogeneous motion information associated with any of the at least one pair of transmitter and receiver.

14. The method of the wireless monitoring system of claim 13, further comprising:

for each receiver, and for each of the at least one respective particular pair of transmitter and receiver comprising the receiver;

computing asynchronously a respective heterogeneous similarity score between a respective current window and a respective past window of the at least one respective CI time series associated with the respective particular pair of wireless devices,

wherein the respective heterogeneous similarity score is computed based on at least one of;

a distance score, an absolute distance (e.g. l_1 norm), a Euclidean distance, a norm, a metric, a statistical characteristic, a time reversal resonating strength (TRRS), a cross-correlation, an auto-correlation, a covariance, an auto-covariance, an inner product of two vectors,

a preprocessing, a signal conditioning, a denoising, a phase correction, a timing correction, a timing compensation, a phase offset compensation, a transformation, a projection, a filtering,

a feature extraction, a finite state machine, a history of past similarity score, another past window of the at least one CI time series, a component-wise operation, machine learning, a neural network, a deep learning, a training, a discrimination,

a weighted averaging, and another operation; and

at least one of;

monitoring the motion of the object in the venue individually and asynchronously based on asynchronously computed heterogeneous similarity score associated with the pair of transmitter and receiver comprising the particular receiver,

monitoring the motion of the object jointly and asynchronously based on asynchronously computed heterogeneous similarity score associated with any of the at least one pair of transmitter and receiver associated with the particular receiver,

monitoring the motion of the object jointly and asynchronously based on asynchronously computed heterogeneous similarity score associated with any of the at least one pair of transmitter and receiver associated with the respective particular transmitter, and

monitoring the motion of the object globally and asynchronously based on asynchronously computed heterogeneous similarity score associated with any of the at least one pair of transmitter and receiver.

15. The method of the wireless monitoring system of claim 13, further comprising:

for each receiver, and for each of the at least one respective particular pair of transmitter and receiver comprising the receiver;

wherein each CI of the at least one respective CI time series has at least one respective component,

for each of the at least one respective component;

determining asynchronously a respective current component window of the component of the at least one respective CI time series based on the respective current window,

determining asynchronously a respective past component window of the component of the at least one respective CI time series based on the respective past window,

comparing component-wise the respective current component window with the respective past component window asynchronously, and

monitoring component-wise the motion of the object based on the component-wise comparing of the respective current component window and the respective past component window asynchronously; and

at least one of;

monitoring the motion of the object in the venue individually and asynchronously based on asynchronous component-wise comparing associated with the pair of transmitter and receiver comprising the particular receiver,

monitoring the motion of the object jointly and asynchronously based on asynchronous component-wise comparing associated with any of the at least one pair of transmitter and receiver associated with the particular receiver,

monitoring the motion of the object jointly and asynchronously based on asynchronous component-wise comparing associated with any of the at least one pair of transmitter and receiver associated with the respective particular transmitter, and

monitoring the motion of the object globally and asynchronously based on asynchronous component-wise comparing associated with any of the at least one pair of transmitter and receiver.

16. The method of the wireless monitoring system of claim 15, further comprising:

for each receiver, and for each of the at least one respective particular pair of transmitter and receiver comprising the receiver;

for each of the at least one component, computing asynchronously a component similarity score based on the respective current component window and the respective past component window,

wherein each component similarity score is computed based on at least one of;

a distance score, a norm, a metric, a statistical characteristics, a time reversal resonating strength (TRRS), a cross-correlation, an auto-correlation, a covariance, an auto-covariance, an inner product of two vectors, a preprocessing, a signal conditioning, a denoising, a phase correction, a timing correction, a timing compensation, a phase offset compensation, a transformation, a projection, a filtering, a feature extraction, a finite state machine, a history of past similarity score, another past window of the at least one CI time series, a component-wise operation, machine learning, a neural network, a deep learning, a training, a discrimination, a weighted averaging, and another operation, and

computing asynchronously a respective heterogeneous similarity score as a heterogeneous function of the at least one component similarity score,

wherein the heterogeneous function comprises at least one of;

a representative value, a typical value, a weighted average, a percentile, a maximum, a minimum, a 40% quartile, a 50% quartile, a 60% quartile, a mean, a median, a mode, a sum, a product, a root, an arithmetic mean, a geometric mean, a harmonic mean, a generalized mean, an ordered statistics, a trimmed mean, a statistical function, an expected value, a variance, a selected one, and another function; and

at least one of;

monitoring the motion of the object in the venue individually and asynchronously based on at least one of;

heterogeneous similarity score, and at least one component similarity score, associated with the pair of transmitter and receiver comprising the particular receiver,

monitoring the motion of the object jointly and asynchronously based on at least one of;

heterogeneous similarity score, and at least one component similarity score, associated with any of the at least one pair of transmitter and receiver associated with the particular receiver,

monitoring the motion of the object jointly and asynchronously based on at least one of;

heterogeneous similarity score, and at least one component similarity score, associated with any of the at least one pair of transmitter and receiver associated with the respective particular transmitter, and

monitoring the motion of the object globally and asynchronously based on at least one of;

heterogeneous similarity score, and at least one component similarity score, associated with any of the at least one pair of transmitter and receiver.

17. The method of the wireless monitoring system of claim 15, further comprising:

for each receiver, and for each of the at least one respective particular pair of transmitter and receiver comprising the receiver;

for each of the at least one component, detecting component-wise the motion of the object asynchronously when the respective component similarity score is at least one of;

greater than, and equal to, a respective component threshold;

at least one of;

detecting the motion of the object in the venue individually and asynchronously when at least one of;

a first function of heterogeneous similarity score associated with the pair of transmitter and receiver comprising the particular receiver is at least one of;

greater than, and equal to, a respective first individual threshold, and

a first percentage of component-wise motion detection in a first selected group of components associated with the pair of transmitter and receiver comprising the particular receiver is at least one of;

greater than, and equal to, a respective second individual threshold,

detecting the motion of the object jointly and asynchronously when at least one of;

a second function of heterogeneous similarity scores associated with any of the at least one pair of transmitter and receiver comprising the particular receiver is at least one of;

greater than, and equal to, a respective first joint threshold, and

a second percentage of component-wise motion detection in a second selected group of components associated with any of the at least one pair of transmitter and receiver comprising the particular receiver is at least one of;

greater than, and equal to, a respective second joint threshold,

detecting the motion of the object jointly and asynchronously when at least one of;

a third function of heterogeneous similarity scores associated with any of the at least one pair of transmitter and receiver associated with the respective particular transmitter is at least one of;

greater than, and equal to, a respective third joint threshold, and

a third percentage of component-wise motion detection in a third selected group of components associated with any of the at least one pair of transmitter and receiver associated with the respective particular transmitter is at least one of;

greater than, and equal to, a respective fourth joint threshold, and

detecting the motion of the object globally and asynchronously when at least one of;

a fourth function of heterogeneous similarity scores associated with any of the at least one pair of transmitter and receiver is at least one of;

greater than, and equal to, a respective first global threshold, and

a fourth percentage of component-wise motion detection in a fourth selected group of components associated with any of the at least one pair of transmitter and receiver is at least one of;

greater than, and equal to, a respective second global threshold.

18. The method of the wireless monitoring system of claim 13, further comprising:

monitoring asynchronously the motion of the object in the venue further based on another CI time series of another wireless multipath channel impacted by the motion of the object in the venue,

wherein the another CI time series is extracted from another asynchronous heterogeneous wireless signal transmitted from an asynchronous heterogeneous transmitter to an asynchronous heterogeneous receiver through the another wireless multipath channel.

19. The method of the wireless monitoring system of claim 13, further comprising:

for each receiver, and for each of the at least one respective particular pair of transmitter and receiver comprising the receiver;

computing asynchronously at least one respective heterogeneous motion information associated with the motion of the object based on the at least one respective CI time series associated with the respective particular pair of transmitter and receiver,

comparing asynchronously a respective current window of the at least one respective CI time series associated with the respective particular pair of wireless devices with a respective past window of the at least one respective CI time series,

computing asynchronously a respective heterogeneous similarity score between the respective current window and the respective past window of the at least one respective CI time series; and

at least one of;

monitoring the motion of the object in the venue individually and asynchronously based on asynchronously computed heterogeneous motion information and heterogeneous similarity score associated with the pair of transmitter and receiver comprising the particular receiver,

monitoring the motion of the object jointly and asynchronously based on asynchronously computed heterogeneous motion information and heterogeneous similarity score associated with any of the at least one pair of transmitter and receiver associated with the particular receiver,

monitoring the motion of the object jointly and asynchronously based on asynchronously computed heterogeneous motion information and heterogeneous similarity score associated with any of the at least one pair of transmitter and receiver associated with the respective particular transmitter, and

monitoring the motion of the object globally and asynchronously based on asynchronously computed heterogeneous motion information and heterogeneous similarity score associated with any of the at least one pair of transmitter and receiver.

20. The method of the wireless monitoring system of claim 15, further comprising:

partitioning a map of the venue into more than one regions;

associating asynchronously the motion of the object with at least one of the more than one regions of the map of the venue based on at least one of;

asynchronously computed heterogeneous motion information associated with the pair of transmitter and receiver comprising the particular receiver,

asynchronously computed heterogeneous motion information associated with any of the at least one pair of transmitter and receiver associated with the particular receiver,

asynchronously computed heterogeneous motion information associated with any of the at least one pair of transmitter and receiver associated with the respective particular transmitter, and

asynchronously computed heterogeneous motion information associated with any of the at least one pair of transmitter and receiver.

21. The method of the wireless monitoring system of claim 20, further comprising:

for each respective pair of transmitter and receiver;

partitioning a respective feature space of the at least one respective heterogeneous motion information associated with the respective pair of transmitter and receiver into more than one respective feature segments,

constructing a respective mapping that associates each respective feature segment with at least one of the more than one regions of the map of the venue, and

associating asynchronously the motion of the object individually with at least one of the more than one regions of the map of the venue based on the respective mapping;

partitioning a joint feature space of heterogeneous motion information associated with more than one pairs of transmitters and receivers into more than one joint feature segments;

constructing a joint mapping that associates each joint feature segment with at least one of the more than one regions of the map of the venue; and

associating the motion of the object with the particular one of the more than one regions of the map of the venue based on the joint mapping.

22. The method of the wireless monitoring system of claim 21, further comprising:

for each respective pair of transmitter and receiver;

computing asynchronously a respective heterogeneous similarity score between a respective current window and a respective past window of the at least one respective CI time series associated with the respective pair of transmitter and receiver; and

at least one of;

detecting the motion of the object in the venue individually and asynchronously when

a first function of heterogeneous similarity score associated with the pair of transmitter and receiver comprising the particular receiver is at least one of;

greater than, and equal to, a respective individual threshold,

detecting the motion of the object in the venue jointly and asynchronously when a second function of heterogeneous similarity scores associated with any of the at least one pair of transmitter and receiver comprising the particular receiver is at least one of;

greater than, and equal to, a respective joint threshold,

detecting the motion of the object in the venue jointly and asynchronously when a third function of heterogeneous similarity scores associated with any of the at least one pair of transmitter and receiver associated with the respective particular transmitter is at least one of;

greater than, and equal to, another respective joint threshold, and

detecting the motion of the object in the venue globally and asynchronously when a fourth function of heterogeneous similarity scores associated with any of the at least one pair of transmitter and receiver is at least one of;

greater than, and equal to, a respective global threshold.

23. The method of the wireless monitoring system of claim 20, further comprising:

signaling asynchronously by a monitoring device an information associated with at least one of;

the map of the venue, the more than one partitioned regions of the map,

regions associated with any detected motion of the object,

heterogeneous motion information associated with at least one pair of transmitter and receiver,

component similarity score, heterogeneous similarity score,

past motion information, past similarity score, another past information, transmitters, receivers.

24. A particular asynchronous heterogeneous receiver of a radio monitoring system, comprising:

wherein the radio monitoring system comprises at least one asynchronous heterogeneous transmitter and at least one asynchronous heterogeneous receiver;

wherein the radio monitoring system comprises at least one pairing of transmitter and receiver, each pairing comprising one of the at least one transmitter, and one of the at least one receiver;

wherein the particular asynchronous heterogeneous receiver is in at least one particular pairing of transmitter and receiver of the radio monitoring system;

wherein the particular receiver is grouped with at least one particular transmitter through the at least one particular pairing of transmitter and receiver;

a wireless circuitry to receive asynchronously at least one asynchronous heterogeneous radio signal,

wherein each asynchronous heterogeneous radio signal is transmitted asynchronously by one of the at least one particular transmitter using a respective first heterogeneous processor, a respective first heterogeneous memory and a respective first heterogeneous set of instructions of the to at least one asynchronous heterogeneous receiver through a wireless multipath channel influenced by a movement of a mass in a site;

a second heterogeneous processor communicatively coupled with the wireless circuitry;

a second heterogeneous memory communicative coupled with the second heterogeneous processor;

a second heterogeneous set of instructions stored in the second heterogeneous memory which, when executed, cause the second heterogeneous processor to, for each of the at least one particular pairing of transmitter and receiver, secure asynchronously at least one respective time series of channel information (time series of CI) of the wireless multipath channel and compute heterogeneous motion information associated with the movement of the mass based on the at least one respective time series of CI,

wherein the at least one respective time series of CI associated with the particular pairing of transmitter and receiver is being derived asynchronously from the respective asynchronous heterogeneous radio signal received asynchronously by the wireless circuitry;

wherein at least one of;

the movement of the mass in the site is monitored individually and asynchronously based on heterogeneous motion information associated with a pairing of transmitter and receiver comprising the particular receiver,

the movement of the mass is monitored jointly and asynchronously based on heterogeneous motion information associated with any pairings of transmitters and receivers comprising the particular receiver,

the movement of the mass is monitored jointly and asynchronously based on heterogeneous motion information associated with any pairings of transmitters and receivers comprising one of the at least one particular transmitter, and

the movement of the mass is monitored globally and asynchronously based on heterogeneous motion information associated with any pairings of transmitters and receivers.

25. The particular asynchronous heterogeneous receiver of the radio monitoring system of claim 24:

wherein, for each receiver, and for each of the at least one pairing of transmitter and receiver comprising the receiver,

a respective heterogeneous similarity score associated with the respective pairing of transmitter and receiver is computed asynchronously based on comparing a respective current window and a respective past window of at least one respective time series of CI associated with the pairing of transmitter and receiver; and

wherein at least one of;

the movement of the mass in the site is monitored individually and asynchronously based on asynchronously computed heterogeneous similarity score associated with the pairing of transmitter and receiver comprising the particular receiver,

the movement of the mass in the site is detected individually and asynchronously when a heterogeneous similarity score associated with the pair of transmitter and receiver comprising the particular receiver is at least one of;

greater than, and equal to, an individual threshold,

the movement of the mass in the site is monitored jointly and asynchronously based on asynchronously computed heterogeneous similarity score associated with any pairing of transmitter and receiver comprising the particular receiver,

the movement of the mass in the site is detected jointly and asynchronously when a first joint score computed based on heterogeneous similarity score associated with any pairing of transmitter and receiver comprising the particular receiver is at least one of;

greater than, and equal to, a first joint threshold,

the movement of the mass in the site is monitored jointly and asynchronously based on asynchronously computed heterogeneous similarity score associated with any pairing of transmitter and receiver associated with one of the at least one particular transmitter,

the movement of the mass in the site is detected jointly and asynchronously when a second joint score computed based on heterogeneous similarity score associated with any pairing of transmitter and receiver associated with one of the at least one particular transmitter is at least one of;

greater than, and equal to, a second joint threshold,

the movement of the mass in the site is monitored globally and asynchronously based on asynchronously computed heterogeneous similarity score associated with any pairing of transmitter and receiver, and

the movement of the mass in the site is detected globally and asynchronously when a third joint score computed based on heterogeneous similarity score associated with any pairing of transmitter and receiver is at least one of;

greater than, and equal to, a third joint threshold.

26. A particular asynchronous heterogeneous transmitter of a radio monitoring system, comprising:

wherein the radio monitoring system comprises at least one asynchronous heterogeneous transmitter and at least one asynchronous heterogeneous receiver;

wherein the radio monitoring system comprises at least one combination of transmitter and receiver, each combination comprising one of the at least one transmitter, and one of the at least one receiver;

wherein the particular asynchronous heterogeneous transmitter is in at least one particular combination of transmitter and receiver of the radio monitoring system;

wherein the particular transmitter is paired with at least one particular receiver through the at least one particular combination of transmitter and receiver;

a wireless circuitry;

a first processor communicatively coupled with the wireless circuitry;

a first memory communicative coupled with the first processor;

a first set of instructions stored in the first memory which, when executed, cause the first processor to;

transmit asynchronously using the wireless circuitry an asynchronous heterogeneous wireless signal from the particular transmitter to the at least one particular receiver through a wireless multipath channel impacted by a dynamics of a substance in a site,

wherein, for each of the at least one particular receiver;

at least one time series of channel information (time series of CI) of the wireless multipath channel gleaned from the asynchronous heterogeneous wireless signal transmitted by the wireless circuitry is fetched and motion information associated with the dynamics of the substance is computed based on the at least one time series of CI by the receiver using a second processor, a second memory and a second set of instructions of the receiver; and

wherein at least one of;

the dynamics of the substance in the site is tracked individually and asynchronously based on motion information associated with a combination of transmitter and receiver comprising the particular transmitter,

the dynamics of the substance is tracked jointly and asynchronously based on motion information associated with any combinations of transmitters and receivers comprising the particular transmitter,

the dynamics of the substance is tracked jointly and asynchronously based on motion information associated with any combinations of transmitters and receivers comprising one of the at least one particular receiver, and

the dynamics of the substance is tracked globally and asynchronously based on motion information associated with any combinations of transmitters and receivers.

27. The particular heterogeneous transmitter of the radio monitoring system of claim 26:

wherein, for each transmitter, and for each of the at least one combination of transmitter and receiver comprising the transmitter,

a respective heterogeneous similarity score associated with the respective combination of transmitter and receiver is computed asynchronously based on comparing a respective current window and a respective past window of at least one respective time series of CI associated with the respective combination of transmitter and receiver; and

wherein at least one of;

the dynamics of the substance in the site is tracked individually and asynchronously based on asynchronously computed heterogeneous similarity score associated with the combination of transmitter and receiver comprising the particular transmitter,

the dynamics of the substance in the site is detected individually and asynchronously when a heterogeneous similarity score associated with the combination of transmitter and receiver comprising the particular transmitter is at least one of;

greater than, and equal to, an individual threshold,

the dynamics of the substance in the site is tracked jointly and asynchronously based on asynchronously computed heterogeneous similarity score associated with any combination of transmitter and receiver comprising the particular transmitter,

the dynamics of the substance in the site is detected jointly and asynchronously when a first joint score computed based on heterogeneous similarity score associated with any combination of transmitter and receiver comprising the particular transmitter is at least one of;

greater than, and equal to, a first joint threshold,

the dynamics of the substance in the site is tracked jointly and asynchronously based on asynchronously computed heterogeneous similarity score associated with any combination of transmitter and receiver associated with one of the at least one particular receiver,

the dynamics of the substance in the site is detected jointly and asynchronously when a second joint score computed based on heterogeneous similarity score associated with any combination of transmitter and receiver associated with one of the at least one particular receiver is at least one of;

greater than, and equal to, a second joint threshold,

the dynamics of the substance in the site is tracked globally and asynchronously based on asynchronously computed heterogeneous similarity score associated with any combination of transmitter and receiver, and

the dynamics of the substance in the site is detected globally and asynchronously when a third joint score computed based on heterogeneous similarity score associated with any combination of transmitter and receiver is at least one of;

greater than, and equal to, a third joint threshold.

28. The particular heterogeneous transmitter of the radio monitoring system of claim 26, wherein the radio monitoring system comprises:

a third processor communicatively coupled with at least one of;

at least one asynchronous heterogeneous transmitter, and at least one asynchronous heterogeneous receiver;

a third memory communicative coupled with the third processor;

a third set of instructions stored in the third memory which, when executed, cause the third processor to;

for each receiver, and for each of the at least one combination of transmitter and receiver comprising the receiver;

receive asynchronously at least one respective time series of channel information (time series of CI) of a wireless multipath channel influenced by a motion of an item in a place received asynchronously by the receiver using a respective second processor, a respective second memory and a respective second set of instructions of the receiver,

wherein the at least one respective time series of CI associated with the respective combination of transmitter and receiver is obtained asynchronously from a respective asynchronous heterogeneous radio signal transmitted from a respective transmitter of the respective combination using a respective first processor, a respective first memory and a respective first set of instructions of the respective transmitter to at least one asynchronous heterogeneous receiver through the wireless multipath channel, and

at least one of;

track the motion of the item in the place individually and asynchronously, based on time series of CI associated with a particular combination of transmitter and receiver comprising a particular receiver and a particular transmitter,

track the motion of the item jointly and asynchronously based on time series of CI associated with any of the at least one combination of transmitter and receiver associated with the particular receiver,

track the motion of the item jointly and asynchronously based on time series of CI associated with any of the at least one combination of transmitter and receiver associated with the particular transmitter,

track the motion of the item globally and asynchronously based on time series of CI associated with any of the at least one combination of transmitter and receiver.