Ultrasonic audience measurement system and method

• US 4,644,509 A
• Filed: 01/23/1986
• Issued: 02/17/1987
• Est. Priority Date: 01/23/1986
• Status: Expired due to Fees

• Current Assignee: ACNielsen Corporation (MOOD Media Corporation)
• Original Assignee: A. C. Nielsen Company, LLC (MOOD Media Corporation)
• Inventors: Lu, Daozheng, Kiewit, David A.
• Primary Examiner(s): NOT, DEFINED
• Application Number:
  US06/821,824
• Time in Patent Office: 390 Days
• Field of Search: 358/84, 367/87, 367/93, 367/96, 367/97, 367/98, 367/104, 343/5 MM, 343/5 PD
• US Class Current: 367/87
• CPC Class Codes: G01S 15/88 Sonar systems specially adapted for specific applications seismic or acoustic prospecting or detecting G01V1/00
• CPC Class Codes: H04H 60/37 for identifying segments of broadcast information, e.g. scenes or extracting programme ID
• CPC Class Codes: H04H 60/45 for identifying users
• CPC Class Codes: H04H 60/58 of audio determination or detection of speech characteristics in general G10L25/00; speech recognition in general G10L15/00
• CPC Class Codes: H04H 60/59 of video recognising characters or patterns in general G06F18/00, G06V20/00
• CPC Class Codes: H04N 21/42201 biosensors, e.g. heat sensor for presence detection, EEG sensors or any limb activity sensors worn by the user input arrangements for interaction with the human body based on nervous system activity detection G06F3/015

Abstract

Method and apparatus for identifying a number of people in a monitored area wherein a first reflected ultrasonic wave map of the monitored area is collected that includes background objects. A second reflected ultrasonic wave map of the monitored area is collected when people may be present in the monitored area. The first collected background defining map is subtracted from the second collected map to obtain a resulting map. The resulting map is processed to identify clusters having a minimum intensity. A cluster size of the thus identified clusters is utilized to identify clusters corresponding to people. The ultrasonic detecting method and apparatus is utilized with a wave signal receiver for identifying an audience composition of the receiver and determining the viewing habits of the public.

Claims

1. A method of identifying a number of people in a monitored area comprising the steps of:

collecting a first reflected ultrasonic wave map of the monitored area;

collecting a second reflected ultrasonic wave map of the monitored area;

subtracting the first map from the second map to obtain a resulting map;

processing the resulting map to identify clusters having a minimum intensity;

calculating a weight coefficient of the identified clusters; and

comparing the calculated weight coefficients with predefined values.

2. The method as recited in claim 1 wherein said step of collecting a reflected ultrasonic wave map comprises the steps of sequentially transmitting at least one ultrasonic wave signal along a plurality of predefined lines within the monitored area, detecting a reflected echo signal of the transmitted ultrasonic wave signal, low pass filtering the detected echo signal, periodically sampling the filtered echo signal to provide a series of echo samples and digitizing the echo samples to provide a series of pixel data for each scanned line.

3. A method as recited in claim 2 wherein said step of subtracting the first map from the second map includes the steps of sequentially subtracting corresponding pixel data for each scanned line.

4. A method as recited in claim 2 wherein said step of processing the resulting map to identify clusters having a minimum intensity comprising the steps of comparing an intensity value of said pixel data with a low threshold value to identify pixel data to be deleted, and processing the remaining pixel data to define element function arrays to identify clusters.

5. A method as recited in claim 4 wherein said step of calculating a weight coefficent of the identified clusters comprises the steps of calculating a reflection area of the identified clusters.

6. A system for identifying a number of people in a monitored area comprising:

means for collecting a first reflected ultrasonic wave map of the monitored area;

means for collecting a second reflected ultrasonic wave map of the monitored area;

means for subtracting the first map from the second map to obtain a resulting map;

means for processing the resulting map to identify clusters having a minimum intensity;

means for calculating a weight coefficient of the identified clusters; and

means for comparing the calculated weight coefficients with predefined values.

7. A system as recited in claim 6 wherein said means for collecting a reflected ultrasonic wave map including means for sequentially transmitting at least one ultrasonic wave signal along a plurality of predefined lines within the monitored area, means for detecting a reflected echo signal of the transmitted ultrasonic wave signal, means for low pass filtering the detected echo signal, means for periodically sampling the filtered echo signal to provide a series of echo samples and means for digitizing the echo samples to provide a series of pixel data for each scanned line.

8. A system as recited in claim 7 wherein said means for subtracting the first map from the second map includes means for sequentially subtracting corresponding pixel data for each scanned line.

9. A system as recited in claim 7 wherein said means for processing the resulting map to identify clusters having a minimum intensity includes means for comparing an intensity value of said pixel data with a low threshold value to identify pixel data to be deleted, and means for processing the remaining pixel data to define element function arrays to identify clusters.

10. A system as recited in claim 9 wherein said means for calculating a weight coefficent of the identified clusters comprises means for calculating a reflection area of the identified clusters.

11. A method of determining the viewing/listening habits of the public by simultaneously identifying a signal being received by a receiver and the composition of the audience of the receiver comprising the steps of:

detecting predetermined functional operational modes of the receiver;

detecting a predetermined event;

identifying a signal being received by the receiver responsive to said detected predetermined event;

collecting a first reflected ultrasonic wave map of background objects in a monitored area of the receiver responsive to a predetermined operational mode of the receiver;

collecting a second reflected ultrasonic wave map of the monitored area responsive to said identified received signal;

subtracting the first map from the second map to obtain a resulting map;

processing the resulting map to identify a number of clusters having both a minimum intensity and a minimum weight coefficient; and

storing the identified received signal, the number of the identified clusters, and the time of the second ultrasonic map collection.

12. The method as recited in claim 11 wherein said step of collecting a reflected ultrasonic wave map comprises the steps of sequentially transmitting at least one ultrasonic wave signal along a plurality of predefined lines within the monitored area, detecting a reflected echo signal of the transmitted ultrasonic wave signal, low pass filtering the detected echo signal, periodically sampling the filtered echo signal to provide a series of echo samples and digitizing the echo samples to provide a series of pixel data for each scanned line.

13. A method as recited in claim 12 wherein said step of subtracting the first map from the second map includes the steps of sequentially subtracting corresponding pixel data for each scanned line.

14. A method as recited in claim 12 wherein said step of processing the resulting map to identify clusters having a minimum intensity comprising the steps of comparing an intensity value of said pixel data with a low threshold value to identify pixel data to be deleted, and processing the remaining pixel data to define element function arrays to identify clusters.

15. A method as recited in claim 14 further comprising the step of calculating a weight coefficent of the identified clusters including the step of calculating a reflection area of the identified clusters.

16. A method as recited in claim 15 further comprising the step of comparing said calculated weight coefficient with a stored value to identify a particular viewer/listener.

17. A system for determining the viewing/listening habits of the public by simultaneously identifying a signal being received by a receiver and the composition of the audience of the receiver comprising:

means for detecting predetermined functional operational modes of the receiver;

means for detecting a predetermined event;

means for identifying the signal being received by the receiver responsive to said detected predetermined event;

means for collecting a first reflected ultrasonic wave map of background objects in a monitored area of the receiver responsive to a predetermined operational mode of the receiver;

means for collecting a second reflected ultrasonic wave map of the monitored area responsive to said identified received signal;

means for subtracting the first map from the second map to obtain a resulting map;

means for processing the resulting map to identify a number of clusters having both a minimum intensity and a minimum weight coefficient; and

means for storing the identified received signal, the number of the identified clusters, and the time of the second map collection.

18. A system as recited in claim 17 wherein said means for collecting a reflected ultrasonic wave map comprises means for sequentially transmitting at least one ultrasonic wave signal along a plurality of predefined lines within the monitored area, means for detecting a reflected echo signal of the transmitted ultrasonic wave signal, means for low pass filtering the detected echo signal, means for periodically sampling the filtered echo signal to provide a series of echo samples and means for digitizing the echo samples to provide a series of pixel data for each scanned line.

19. A system as recited in claim 18 wherein said means for subtracting the first map from the second map includes means for sequentially subtracting corresponding pixel data for each scanned line.

20. A system as recited in claim 18, wherein said means for processing the resulting map to identify clusters having a minimum intensity comprises means for comparing an intensity value of said pixel data with a low threshold value to identify pixel data to be deleted, and means for processing the remaining pixel data to define element function arrays to identify clusters.

21. A system as recited in claim 20 further comprising means for calculating a weight coefficent of the identified clusters including means for calculating a reflection area of the identified clusters.

22. A system as recited in claim 21, further comprising means for comparing said calculated weight coefficients with a stored value to identify a particular viewer.