Application US20180351775

METHOD, APPARATUS, AND SYSTEM FOR WIRELESS MOTION MONITORING
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US20180351775

1. A system having at least a processor and a memory with a set of instructions stored therein for detecting object motion in a venue, comprising: (7) (3)

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.

2. The system of claim 1, wherein the motion detector is coupled to at least one of: (0) (8)

the first wireless device;

the second wireless device;

a third wireless device having a same type as that of the first wireless device;

a fourth wireless device having a same type as that of the second wireless device;

a cloud server;

a fog server;

a local server; and

an edge server.

3. The system of claim 1, wherein: (0) (6)

the first wireless device is a Type 1 device having a Type 1;

the second wireless device is a Type 2 device having a Type 2;

the system further comprises at least one of: at least one additional Type 1 device, and at least one additional Type 2 device;

the Type 1 devices and the Type 2 devices form a plurality of pairs of Type 1 and Type 2 devices;

for each pair of Type 1 and Type 2 devices comprising a Type 1 device and a Type 2 device: the respective Type 1 device 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 Type 2 device 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 Type 2 device 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 Type 2 devices 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 Type 1 and Type 2 devices;

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 Type 1 and Type 2 devices comprising a particular Type 2 device,

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 Type 1 and Type 2 devices.

4. The system of claim 1, wherein computing the motion information comprises: (0) (1)

5. The system of claim 1, wherein: (2) (2)

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 second wireless device 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 second wireless device is further configured for: (0) (3)

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 second wireless device is further configured for: (0) (3)

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: (0) (3)

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 first and second wireless devices 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, wherein the motion detector is further configured for: (0) (2)

10. The system of claim 1, further comprising a supervisory device configured for: (1) (1)

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

11. The system of claim 10, wherein: (2) (6)

the first wireless device is a Type 1 device having a Type 1;

the second wireless device is a Type 2 device having a Type 2;

the system further comprises at least one of: at least one additional Type 1 device, and at least one additional Type 2 device;

the Type 1 devices and the Type 2 devices form a plurality of pairs of Type 1 and Type 2 devices;

for each pair of Type 1 and Type 2 devices comprising a Type 1 device and a Type 2 device, the respective Type 1 device 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 Type 2 device 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 Type 2 devices 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 Type 1 and Type 2 devices 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.

12. The system of claim 11, wherein: (0) (2)

for each pair of Type 1 and Type 2 devices comprising a Type 1 device and a Type 2 device, the respective Type 2 device 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 Type 2 devices 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 Type 1 and Type 2 devices 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 Type 1 and Type 2 devices comprising a particular Type 2 device 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 Type 1 and Type 2 devices comprising a particular Type 1 device 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 Type 1 and Type 2 devices is greater than or equal to a respective global threshold.

13. The system of claim 11, further comprising: (0) (1)

14. A method of a wireless monitoring system, comprising: (5) (6)

wherein the wireless monitoring system comprises at least one asynchronous heterogeneous Type 1 wireless device and at least one asynchronous heterogeneous Type 2 wireless device;

wherein the wireless monitoring system comprises at least one pair of Type 1 and Type 2 devices, each pair comprising one of the at least one asynchronous heterogeneous Type 1 wireless device, and one of the at least one asynchronous heterogeneous Type 2 wireless device;

wherein each of the at least one Type 2 wireless device is in at least one respective particular pair of Type 1 and Type 2 devices;

wherein each Type 2 wireless device is associated with at least one respective particular Type 1 wireless device through the at least one respective particular pair of Type 1 and Type 2 devices;

for each Type 2 wireless device, and for each of the at least one respective particular pair of Type 1 and Type 2 devices comprising the Type 2 wireless device: 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 Type 1 and Type 2 wireless devices 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 Type 1 wireless device using a respective first heterogeneous processor, a respective first heterogeneous memory and a respective first heterogeneous set of instructions of the Type 1 wireless device to at least one asynchronous heterogeneous Type 2 wireless device through the wireless multipath channel; and

at least one of: monitoring the motion of the object in the venue individually and asynchronously, using a third processor, a third memory and a third set of instructions of a Type 3 device, based on CI time series associated with a pair of Type 1 and Type 2 devices comprising a particular Type 2 device,

monitoring the motion of the object jointly and asynchronously based on CI time series associated with any of the at least one pair of Type 1 and Type 2 devices associated with the particular Type 2 wireless device,

monitoring the motion of the object jointly and asynchronously based on CI time series associated with any of the at least one pair of Type 1 and Type 2 devices associated with one of the at least one respective particular Type 1 wireless device, and

monitoring the motion of the object globally and asynchronously based on CI time series associated with any of the at least one pair of Type 1 and Type 2 devices.

15. The method of the wireless monitoring system of claim 14, further comprising: (1) (2)

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 the pair of Type 1 and Type 2 devices comprising the particular Type 2 device,

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 Type 1 and Type 2 devices associated with the particular Type 2 wireless device,

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 Type 1 and Type 2 devices.

22. The method of the wireless monitoring system of claim 15, further comprising: (2) (2)

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 Type 1 and Type 2 devices comprising the particular Type 2 device,

asynchronously computed heterogeneous motion information associated with any of the at least one pair of Type 1 and Type 2 devices associated with the particular Type 2 wireless device,

asynchronously computed heterogeneous motion information associated with any of the at least one pair of Type 1 and Type 2 devices associated with the respective particular Type 1 wireless device, and

asynchronously computed heterogeneous motion information associated with any of the at least one pair of Type 1 and Type 2 devices.

23. The method of the wireless monitoring system of claim 22, further comprising: (1) (4)

for each respective pair of Type 1 and Type 2 devices: partitioning a respective feature space of the at least one respective heterogeneous motion information associated with the respective pair of Type 1 and Type 2 devices 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 Type 1 and Type 2 devices 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.

24. The method of the wireless monitoring system of claim 23, further comprising: (0) (2)

for each respective pair of Type 1 and Type 2 devices: 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 Type 1 and Type 2 devices; 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 Type 1 and Type 2 devices comprising the particular Type 2 device 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 Type 1 and Type 2 devices comprising the particular Type 2 device 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 Type 1 and Type 2 devices associated with the respective particular Type 1 wireless device 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 Type 1 and Type 2 devices is at least one of: greater than, and equal to, a respective global threshold.

25. The method of the wireless monitoring system of claim 22, further comprising: (0) (2)

16. The method of the wireless monitoring system of claim 14, further comprising: (0) (2)

for each Type 2 wireless device, and for each of the at least one respective particular pair of Type 1 and Type 2 devices comprising the Type 2 wireless device: 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 Type 1 and Type 2 devices comprising the particular Type 2 device,

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 Type 1 and Type 2 devices associated with the particular Type 2 wireless device,

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 Type 1 and Type 2 devices.

17. The method of the wireless monitoring system of claim 14, further comprising: (2) (2)

for each Type 2 wireless device, and for each of the at least one respective particular pair of Type 1 and Type 2 devices comprising the Type 2 wireless device: 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 Type 1 and Type 2 devices comprising the particular Type 2 device,

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 Type 1 and Type 2 devices associated with the particular Type 2 wireless device,

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 Type 1 and Type 2 devices.

18. The method of the wireless monitoring system of claim 17, further comprising: (0) (2)

for each Type 2 wireless device, and for each of the at least one respective particular pair of Type 1 and Type 2 devices comprising the Type 2 wireless device: 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 Type 1 and Type 2 devices comprising the particular Type 2 device,

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 Type 1 and Type 2 devices associated with the particular Type 2 wireless device,

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 Type 1 and Type 2 devices.

19. The method of the wireless monitoring system of claim 17, further comprising: (0) (2)

for each Type 2 wireless device, and for each of the at least one respective particular pair of Type 1 and Type 2 devices comprising the Type 2 wireless device: 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 Type 1 and Type 2 devices comprising the particular Type 2 device 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 Type 1 and Type 2 devices comprising the particular Type 2 device 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 Type 1 and Type 2 devices comprising the particular Type 2 device 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 Type 1 and Type 2 devices comprising the particular Type 2 device 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 Type 1 and Type 2 devices associated with the respective particular Type 1 wireless device 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 Type 1 and Type 2 devices associated with the respective particular Type 1 wireless device 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 Type 1 and Type 2 devices 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 Type 1 and Type 2 devices is at least one of: greater than, and equal to, a respective second global threshold.

20. The method of the wireless monitoring system of claim 14, further comprising: (0) (1)

21. The method of the wireless monitoring system of claim 14, further comprising: (0) (2)

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 Type 1 and Type 2 devices comprising the particular Type 2 device,

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 Type 1 and Type 2 devices associated with the particular Type 2 wireless device,

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 Type 1 and Type 2 devices.

26. A particular asynchronous heterogeneous Type 2 device of a radio monitoring system, comprising: (1) (9)

wherein the radio monitoring system comprises at least one asynchronous heterogeneous Type 1 device and at least one asynchronous heterogeneous Type 2 device;

wherein the radio monitoring system comprises at least one pairing of Type 1 and Type 2 devices, each pairing comprising one of the at least one Type 1 device, and one of the at least one Type 2 device;

wherein the particular asynchronous heterogeneous Type 2 device is in at least one particular pairing of Type 1 and Type 2 devices of the radio monitoring system;

wherein the particular Type 2 device is grouped with at least one particular Type 1 device through the at least one particular pairing of Type 1 and Type 2 devices;

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 Type 1 device using a respective first heterogeneous processor, a respective first heterogeneous memory and a respective first heterogeneous set of instructions of the Type 1 device to at least one asynchronous heterogeneous Type 2 device 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 Type 1 and Type 2 devices, secure asynchronously at least one respective series of channel information (time series of CI) of the wireless multipath channel, wherein the at least one respective time series of CI associated with the particular pairing of Type 1 and Type 2 devices 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, using a third processor, a third memory and a third set of instructions of a Type 3 device, based on time series of CI associated with a pairing of Type 1 and Type 2 devices comprising the particular Type 2 device,

the movement of the mass is monitored jointly and asynchronously based on time series of CI associated with any pairings of Type 1 and Type 2 devices comprising the particular Type 2 device,

the movement of the mass is monitored jointly and asynchronously based on time series of CI associated with any pairings of Type 1 and Type 2 devices comprising one of the at least one particular Type 1 device, and

the movement of the mass is monitored globally and asynchronously based on time series of CI associated with any pairings of Type 1 and Type 2 devices.

27. The particular asynchronous heterogeneous Type 2 device of the radio monitoring system of claim 26: (0) (2)

wherein, for each Type 2 device, and for each of the at least one pairing of Type 1 and Type 2 devices comprising the Type 2 device, a respective heterogeneous similarity score associated with the respective pairing of Type 1 and Type 2 devices 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 Type 1 and Type 2 devices; 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 Type 1 and Type 2 devices comprising the particular Type 2 device,

the movement of the mass in the site is detected individually and asynchronously when a heterogeneous similarity score associated with the pair of Type 1 and Type 2 devices comprising the particular Type 2 device 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 Type 1 and Type 2 devices comprising the particular Type 2 device,

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 Type 1 and Type 2 devices comprising the particular Type 2 device is at least one of: greater than, and equal to, a first joint threshold,

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 Type 1 and Type 2 devices associated with one of the at least one particular Type 1 device,

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 Type 1 and Type 2 devices, 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 Type 1 and Type 2 devices is at least one of: greater than, and equal to, a third joint threshold.

28. A particular asynchronous heterogeneous Type 1 device of a radio monitoring system, comprising: (2) (9)

wherein the radio monitoring system comprises at least one asynchronous heterogeneous Type 1 device and at least one asynchronous heterogeneous Type 2 device;

wherein the radio monitoring system comprises at least one combination of Type 1 and Type 2 devices, each combination comprising one of the at least one Type 1 device, and one of the at least one Type 2 device;

wherein the particular asynchronous heterogeneous Type 1 device is in at least one particular combination of Type 1 and Type 2 devices of the radio monitoring system;

wherein the particular Type 1 device is paired with at least one particular Type 2 device through the at least one particular combination of Type 1 and Type 2 devices;

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 Type 1 device to the at least one particular Type 2 device through a wireless multipath channel impacted by a dynamics of a substance in a site, wherein, for each of the at least one particular Type 2 device: at least one 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 by the Type 2 device using a second processor, a second memory and a second set of instructions of the Type 2 device; and

wherein at least one of: the dynamics of the substance in the site is tracked individually and asynchronously, using a third processor, a third memory and a third set of instructions of a Type 3 device, based on time series of CI associated with a combination of Type 1 and Type 2 devices comprising the particular Type 1 device,

the dynamics of the substance is tracked jointly and asynchronously based on time series of CI associated with any combinations of Type 1 and Type 2 devices comprising the particular Type 1 device,

the dynamics of the substance is tracked jointly and asynchronously based on time series of CI associated with any combinations of Type 1 and Type 2 devices comprising one of the at least one particular Type 2 device, and

the dynamics of the substance is tracked globally and asynchronously based on time series of CI associated with any combinations of Type 1 and Type 2 devices.

29. The particular heterogeneous Type 1 device of the radio monitoring system of claim 28: (0) (2)

wherein, for each Type 1 device, and for each of the at least one combination of Type 1 and Type 2 devices comprising the Type 1 device, a respective heterogeneous similarity score associated with the respective combination of Type 1 and Type 2 devices 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 Type 1 and Type 2 devices; 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 Type 1 and Type 2 devices comprising the particular Type 1 device,

the dynamics of the substance in the site is detected individually and asynchronously when a heterogeneous similarity score associated with the combination of Type 1 and Type 2 devices comprising the particular Type 1 device 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 Type 1 and Type 2 devices comprising the particular Type 1 device,

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 Type 1 and Type 2 devices comprising the particular Type 1 device is at least one of: greater than, and equal to, a first joint threshold,

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 Type 1 and Type 2 devices associated with one of the at least one particular Type 2 device 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 Type 1 and Type 2 devices, 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 Type 1 and Type 2 devices is at least one of: greater than, and equal to, a third joint threshold.

30. The particular heterogeneous Type 1 device of the radio monitoring system of claim 28, wherein the radio monitoring system comprises a Type 3 device that comprises: (0) (3)

a third processor communicatively coupled with at least one of: at least one asynchronous heterogeneous Type 1 device, and at least one asynchronous heterogeneous Type 2 device;

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 Type 2 device, and for each of the at least one combination of Type 1 and Type 2 devices comprising the Type 2 device: 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 Type 2 device using a respective second processor, a respective second memory and a respective second set of instructions of the Type 2 device, wherein the at least one respective time series of CI associated with the respective combination of Type 1 and Type 2 devices is obtained asynchronously from a respective asynchronous heterogeneous radio signal transmitted from a respective Type 1 device of the respective combination using a respective first processor, a respective first memory and a respective first set of instructions of the respective Type 1 device to at least one asynchronous heterogeneous Type 2 device 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 Type 1 and Type 2 devices comprising a particular Type 2 device and a particular Type 1 device,

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 Type 1 and Type 2 devices associated with the particular Type 2 device,

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 Type 1 and Type 2 devices.

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Application US20180351775

METHOD, APPARATUS, AND SYSTEM FOR WIRELESS MOTION MONITORING

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