Methods and apparatus to characterize households with media meter data

Patent metadata

Field	Value
Publication number	US-9247273-B2
Application number	US-201414313434-A
Country	US
Kind code	B2
Filing date	Jun 24, 2014
Priority date	Jun 25, 2013
Publication date	Jan 26, 2016
Grant date	Jan 26, 2016

Abstract

Methods, apparatus, systems and articles of manufacture are disclosed to characterize households with media meter data. An example method includes identifying, with a processor, a power status and a first automatic gain control (AGC) value for an exposure minute from a panelist audience meter in a first household, the panelist audience meter comprising a power sensor, identifying a second AGC value and a daypart for a household tuning minute from a first media meter (MM) in the first household, the MM comprising microphones to collect audio data, and calculating model coefficients based on the exposure minute and the household tuning minute to be applied to data from a second MM in a second household, the model coefficients to facilitate a power status probability calculation in the second household devoid of the panelist audience meter having the power sensor.

First claim

What is claimed is:

1. A method to calculate a probability of a first media device having a first power status, comprising:
identifying, with a processor, a power status and a first automatic gain control (AGC) value for an exposure minute from a panelist audience meter in a first household, the panelist audience meter including a power sensor to sense a power status of a second media device in the first household;
identifying, with the processor a second AGC value of a first media meter (MM) during a household tuning minute in the first household, the first MM including a microphone to collect audio data; and
preventing erroneous crediting by:
calculating, with the processor, model coefficients based on the exposure minute and the household tuning minute;
calculating, with the processor, a power status probability for the first media device in a second household based on the model coefficients and data from a second MM in the second household, the second household not including a panelist audience meter having a power sensor; and
determining whether to credit a media exposure identified by the second MM in the second household based on the power status probability.

2. A method as defined in claim 1 , wherein the data from the second MM includes daypart information and AGC values from the second MM in the second household.

3. A method as defined in claim 1 , wherein the calculating of the model coefficients further includes calculating the model coefficients with an independent variable based on a number of minutes since the first MM in the first household credited a station.

4. A method as defined in claim 1 , further including identifying a number of minutes associated with the first media device in the second household and containing neither codes nor signatures having a match with a reference database.

5. A method as defined in claim 4 , wherein the calculating of the power status probability determines whether the number of minutes associated with the first media device in the second household is associated with an OFF power state or an all other tuning state.

6. A method as defined in claim 4 , wherein the calculating of the power status probability determines whether the number of minutes associated with the first media device in the second household is associated with a muted state.

7. A method as defined in claim 4 , further including attributing the number of minutes containing neither codes nor signatures to video game usage.

8. A method as defined in claim 1 , further including determining daypart information associated with the household tuning minute.

9. An apparatus to calculate a probability of a first media device being in a first power state, comprising:
an automatic gain control (AGC) monitor to identify a first AGC value of a panelist audience meter during an exposure minute in a first household, the panelist audience meter including a power sensor to sense a power status of a second media device in the first household, the AGC monitor to identify a second AGC value of a first media meter (MM) during a household tuning minute in the first household, the first MM including a microphone to collect audio data; and
a modeling engine to prevent erroneous crediting by:
calculating model coefficients based on the exposure minute and the household tuning minute;
calculating a power status probability for the first media device in a second household based on the model coefficients and data from a second MM in the second household, the second household not including a the panelist audience meter having a power sensor; and
determining whether to credit a media exposure identified by the second MM in the second household based on the power status probability.

10. An apparatus as defined in claim 9 , wherein the data from the second MM includes daypart information and AGC values.

11. An apparatus as defined in claim 9 , wherein the modeling engine is to calculate the model coefficients with an independent variable based on a number of minutes since the first MM in the first household credited a station.

12. An apparatus as defined in claim 9 , further including a detection engine to identify a number of minutes associated with the first media device in the second household and containing neither codes nor signatures having a match with a reference database.

13. An apparatus as defined in claim 12 , wherein the modeling engine is to determine whether the number of minutes associated with the first media device in the second household is associated with an OFF power state or an all other tuning (AOT) state based on the power status probability calculation.

14. An apparatus as defined in claim 12 , wherein the modeling engine is to determine whether the number of minutes associated with the first media device in the second household containing neither codes nor signatures is associated with a muted state.

15. An apparatus as defined in claim 12 , wherein the modeling engine is to attribute the number of minutes containing neither codes nor signatures to video game usage.

16. An apparatus as defined in claim 9 , wherein the AGC monitor is to identify daypart information associated with the household tuning minute.

17. A tangible machine readable storage medium comprising instructions that, when executed, cause a machine to at least:
identify a power status and a first automatic gain control (AGC) value for an exposure minute from a panelist audience meter in a first household, the panelist audience meter including a power sensor to sense a power status of a first media device in the first household;
identify a second AGC value of a first media meter (MM) during a household tuning minute in the first household, the first MM including a microphone to collect audio data; and
prevent erroneous crediting by:
calculating model coefficients based on the exposure minute and the household tuning minute;
calculating a power status probability for a second media device in a second household based on the model coefficients and data from a second MM in the second household, the second household not including a panelist audience meter having a power sensor; and
determining whether to credit a media exposure identified by the second MM in the second household based on the power status probability.

18. A storage medium as defined in claim 17 , wherein the instructions, when executed, further cause the data from the second MM to include daypart information and AGC values.

19. A storage medium as defined in claim 17 , wherein the instructions, when executed, cause the machine to calculate the model coefficients with an independent variable based on a number of minutes since the first MM in the first household credited a station.

20. A storage medium as defined in claim 17 , wherein the instructions, when executed, further cause the machine to identify a number of minutes associated with the second media device in the second household and containing neither codes nor signatures having a match with a reference database.

21. A storage medium as defined in claim 20 , wherein the instructions, when executed, further cause the machine to determine whether the number of minutes associated with the second media device in the second household is associated with an OFF power state or an all other tuning state based on the power status probability calculation.

22. A storage medium as defined in claim 20 , wherein the instructions, when executed, further cause the machine to determine whethe

Assignees

• Nielsen Co Us Llc

Inventors

• Shankar Balachander
• Poppie Molly
• Kurzynski David J
• Garcia Jarrett
• Chmura Lukasz
• You Huaxin
• Doe Peter
• Bourquin Christine
• Dolson Timothy
• Burr Jone Mary

Classifications

• H04N21/251

  Learning process for intelligent management, e.g. learning user preferences for recommending movies (details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08) · CPC title

• H04N21/252

  Processing of multiple end-users' preferences to derive collaborative data · CPC title

• H04H60/45

  for identifying users · CPC title

• H04N21/6582

  Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number (arrangements where receivers interact with the broadcast H04H20/38) · CPC title

• H04N21/2407

  Monitoring of transmitted content, e.g. distribution time, number of downloads (arrangements for monitoring programmes for broadcast or for distribution combined with broadcast H04H20/14) · CPC title