System and method of occupancy estimation utilizing transmitted signals

• US 9,866,337 B2
• Filed: 03/31/2016
• Issued: 01/09/2018
• Est. Priority Date: 03/31/2015
• Status: Expired due to Fees

• Current Assignee: Regents of the University of California (University of California)
• Original Assignee: Regents of the University of California (University of California)
• Inventors: Mostofi, Yasamin, Muralidharan, Arjun, Depatla, Saandeep
• Primary Examiner(s): AKINYEMI, AJIBOLA A
• Application Number:
  US15/087,554
• Publication Number:
  US 20160294492A1
• Time in Patent Office: 649 Days
• Field of Search: 455 6712
• CPC Class Codes: H04B 17/318 Received signal strength
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic

Abstract

A method estimating number of occupants in a region includes receiving at one or more receiving unit a signal or signals transmitted from one or more transmitting units, wherein the transmitting units are not associated with the one or more occupants located in the region. In addition, the method includes measuring one or more attributes of the received signal for a duration of time and calculating an occupancy estimate based, at least in part, on the measured attribute of the received signal.

Claims

1. A method of estimating a number of occupants located in a region, the method comprising:

receiving at one or more receiving units a signal transmitted from one or more transmitting units, wherein the transmitting units are not associated with the one or more occupants located in the region;

measuring one or more attributes of the received signal; and

estimating the number of occupants located in the region based, at least in part, on the one or more measured attributes of the received signal, wherein the number of occupants is estimated by comparing the measured attributes of the received signal or functions of the measured attributes to a theoretical model that describes a relationship between measured attributes of the received signal or functions of the measured attributes and number of occupants in the region.

2. The method of claim 1, wherein the signal is a WiFi signal or a radio frequency (RF) signal.

3. The method of claim 1, wherein the one or more attribute of the received signal includes at least one of received signal strength, received signal strength indicator (RSSI), signal-to-noise ratio (SNR), received channel power indicator (RCPI), or received signal phase.

4. The method of claim 1, wherein estimating the number of occupants located in the region is

based on a best fit between the measured attributes or functions of the measured attributes and the theoretical model.

5. The method of claim 1, wherein the theoretical model utilizes a statistical or probabilistic function, a probability density function, or probability mass function of the signal attributes as they relate to various numbers of occupants, and wherein the measured signal attribute is expressed statistically, probabilistically, or as a probability density function, or a probability mass function of the measured signal attribute.

6. The method of claim 1, wherein the theoretical model is based, in part, on line-of-sight (LOS) blocking or crossing of the received signal.

7. The method of claim 1, wherein the theoretical model is based, in part, on multi-path (MP) scattering/fading of the received signal.

8. The method of claim 1, wherein the theoretical model is based, in part, on both line-of-sight (LOS) blocking of the received signal and multi-path (MP) scattering/fading of the received signal.

9. The method of claim 1, wherein the theoretical model is based, in part, on one or more measured signal attributes or functions of the measured attributes measured with a known number of occupants located in the monitored region.

10. The method of claim 1, wherein the theoretical model is based, in part, on simulations of the measured signal attributes or functions of the measured signal attributes measured with a known number of occupants located in the monitored region.

11. The method of claim 1, wherein the theoretical model further includes modeling of motion behaviors of occupants within the monitored region.

12. The method of claim 1, wherein the one or more attributes of the received signal are measured over a duration of time and wherein the number of occupants located in the region is estimated based, at least in part, on the one or more measured attributes of the received signal measured over the duration of time.

13. The method of claim 1, wherein the one or more receiver units are not located on or associated with the one or more occupants located in the region.

14. An occupant estimation system comprising:

at least one transmitting unit that transmits a signal;

at least one receiving unit that includes an antenna for receiving the signal;

at least one signal measurement unit that measures one or more attributes associated with the received signal;

a memory unit that stores a theoretical model, wherein the theoretical model describes a relationship between the one or more measured attributes of a received signal or functions of the one or more attributes of the received signal and various numbers of possible occupants; and

a processor that implements an occupancy estimation unit, wherein the occupancy estimation unit compares the one or more measured attributes or functions of the measured attributes of the received signal to the theoretical model to generate an estimate of the number of occupants in a region.

15. The system of claim 14, wherein transmitting unit and the receiving unit communicate via at least one of WiFi or radio frequency (RF) signals.

16. The system of claim 14, wherein the signal measurement unit measures at least one of received signal strength, received signal strength indicator (RSSI), signal-to-noise ratio (SNR), received channel power indicator (RCPI), or received signal phase.

17. The system of claim 14, wherein occupancy is estimated based on a best fit between the one or more measured attributes or functions of attributes and the theoretical model.

18. The system of claim 14, wherein the theoretical model utilizes a statistical or probabilistic function, a probability distribution function or probability mass function of the signal attributes as they relate to various numbers of occupants, and wherein the measured signal attribute is expressed statistically, probabilistically, or as a probability density function or a probability mass function of the measured signal attribute.

19. The system of claim 14, wherein the theoretical model is based, in part, on line-of-sight (LOS) blocking or crossing of the received signal.

20. The system of claim 14, wherein the theoretical model is based, in part, on multi-path (MP) scattering/fading of the received signal.

21. The system of claim 14, wherein the theoretical model is based, in part, on both line-of-sight (LOS) blocking of the received signal and multi-path (MP) scattering/fading of the received signal.

22. The system of claim 14, wherein the theoretical model is based, in part, on modeling of motion behaviors of occupants within the monitored region.

23. The system of claim 14, wherein attributes of the received signal are measured over a duration of time and wherein the number of occupants located in the region is estimated based on the one or more attributed of the received signal measured over the duration of time.

24. The system of claim 14, wherein the at least one transmitting unit and the at least one receiving unit are not located on or associated with the one or more occupants located in the region.