Estimating demographic statistics of media viewership via context aware mobile devices

• US 9,516,360 B2
• Filed: 04/12/2012
• Issued: 12/06/2016
• Est. Priority Date: 04/12/2012
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Grokop, Leonard Henry
• Primary Examiner(s): TORRES, MARCOS L
• Application Number:
  US13/445,348
• Publication Number:
  US 20130273941A1
• Time in Patent Office: 1,699 Days
• Field of Search: 455/456.3, 455/2.01, 705/7.32
• US Class Current: 1/1
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04N 21/2187 Live feed
• CPC Class Codes: H04N 21/24 Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth, upstream requests monitoring of server performance or load G06F11/34; arrangements for observation, testing or troubleshooting for broadcast or for distribution combined with broadcast H04H20/12
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/25883 being end-user demographical data, e.g. age, family status or address arrangements for identifying locations of users in broadcast systems H04H60/52
• CPC Class Codes: H04N 21/41407 embedded in a portable device, e.g. video client on a mobile phone, PDA, laptop constructional details of equipment or arrangements specially adapted for portable computer application G06F1/1626; arrangements specially adapted for mobile receivers in broadcast systems H04H20/57
• CPC Class Codes: H04N 21/42202 environmental sensors, e.g. for detecting temperature, luminosity, pressure, earthquakes
• CPC Class Codes: H04N 21/42203 sound input device, e.g. microphone
• CPC Class Codes: H04N 21/4223 Cameras H04N23/00 takes precedence
• CPC Class Codes: H04N 21/466 Learning process for intelligent management, e.g. learning user preferences for recommending movies services using the results of monitoring in broadcast systems H04H60/61
• CPC Class Codes: H04N 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

A method of generating demographic statistics related to an event includes using sensor data acquired at a mobile device to estimate a value for a category of a demographic model of a user of the mobile device; using sensor data acquired at the mobile device to detect an occurrence of the event in which the user of the mobile device participates; and associating the estimated value for the category of the demographic model of the user of the mobile device with the event.

Claims

1. A method of generating demographic statistics related to an event, the method comprising:

estimating, using at least a first portion of sensor data acquired at a mobile device, one or more values for one or more categories of a demographic model of a user of the mobile device, wherein the estimated one or more values are determined in accordance with a user-selected level of anonymity and wherein the one or more estimated values comprise an estimated age of the user;

detecting, using at least a second portion of the sensor data acquired at the mobile device, a change in a geographic location of the mobile device;

determining, based on the change in the geographic location, an occurrence of the event in which the user of the mobile device participates;

storing the estimated values for the user of the mobile device; and

generating demographic statistics for the detected event, wherein the demographic statistics include the stored estimated values for the one or more categories of the demographic model for the user.

2. The method of claim 1, wherein the event comprises consuming a media program.

3. The method of claim 2, wherein the media program is a television program.

4. The method of claim 1, wherein the event comprises attending or participating in a live gathering of participants.

5. The method of claim 1, wherein the event comprises being present at a geographic location.

6. The method of claim 1, wherein the sensor data is acquired from one or more of a microphone, a GPS receiver, an accelerometer, a light sensor, a magnetometer, a gyroscope, a proximity sensor, a camera, a barometric pressure sensor, a temperature sensor, a capacitive touch sensor, a Wi-Fi detector, a Bluetooth®

detector, or any combination thereof.

7. The method of claim 1, wherein at least one of estimation of the value and detection of the occurrence of the event also uses user content data including usage information from one or more of email content, calendar content, SMS text message content, social networks, a contact list, or any combination thereof.

8. The method of claim 1, wherein the one or more categories of the demographic model includes one or more of the following categories:

age, gender, race, location, occupation, income, activity level, commute information, height, languages spoken, locations visited, environments encountered, or any combination thereof.

9. The method of claim 1, wherein estimating values for the one or more categories of the demographic model of the user of the mobile device further comprises assigning a confidence measure to at least one of the estimated values.

10. The method of claim 1, further comprising updating an estimate of a value for a category of the demographic model based at least in part on detecting the occurrence of the event.

11. The method of claim 1, wherein the method is performed at a server in communication with the mobile device.

12. A system for generating demographic statistics related to an event, the system comprising:

a mobile device configured to;

collect sensor data available at the mobile device;

estimate, using at least a first portion of the sensor data, one or more values for one or more categories of a demographic model of a user of the mobile device, wherein the estimated values are determined in accordance with a user-selected level of anonymity and wherein the estimated values comprise an estimated age of the user;

transmit the estimated values to a server;

detect, using at least a second portion of the sensor data, a change in a geographic location of the mobile device;

determine, based on the change in the geographic location, an occurrence of the event in which the user of the mobile device participates; and

transmit information about the occurrence of the event to the server; and

the server configured to;

receive the estimated values from the mobile device;

receive the information about the occurrence of the event from the mobile device;

store the estimated values for the user of the mobile device; and

generate demographic statistics for the detected event, wherein the demographic statistics include the stored estimated value of the category of the demographic model for the user.

13. The system of claim 12, wherein the event comprises consuming a media program.

14. The system of claim 13, wherein the media program is a television program.

15. The system of claim 12, wherein the event comprises attending or participating in a live gathering of participants.

16. The system of claim 12, wherein the event comprises being present at a geographic location.

17. The system of claim 12, wherein the mobile device is configured to acquire the sensor data from one or more sensors selected from the group consisting of:

a microphone, a GPS receiver, an accelerometer, a light sensor, a magnetometer, a gyroscope, a proximity sensor, a camera, a barometric pressure sensor, a temperature sensor, a capacitive touch sensor, a Wi-Fi detector, and a Bluetooth®

detector.

18. The system of claim 12, wherein

the mobile device is further configured to acquire user content data including usage information from one or more of email content, calendar content, SMS text message content, social networks, a contact list, or any combination thereof;

and

at least one of estimation of the value and detection of the occurrence of the event also uses the user content data.

19. The system of claim 12, wherein the one or more categories of the demographic model includes one or more of the following categories:

age, gender, race, location, occupation, income, activity level, commute information, height, languages spoken, locations visited, environments encountered, or any combination thereof.

20. The system of claim 12, wherein the mobile device is further configured to assign a confidence measure to at least one of the estimated values.

21. The system of claim 12, wherein the mobile device is further configured to update an estimate of a value for a category of the demographic model based at least in part on detecting the occurrence of the event.

22. A mobile device comprising:

one or more sensors configured to collect sensor data;

a processor communicatively coupled to the one or more sensors and configured to;

estimate, using at least a first portion of the sensor data collected by the one or more sensors, one or more values for one or more categories of a demographic model of a user of the mobile device, wherein the estimated values are determined in accordance with a user-selected level of anonymity and wherein the estimated values comprise an estimated age of the user,

detect, using a second portion of the sensor data, a change in a geographic location of the mobile device;

determining, based on the change in the geographic location, an occurrence of an event in which the user of the mobile device participates, wherein at least part of the second portion of the sensor data comprises audio data, and

process the audio data to generate audio features associated with the event; and

a transceiver communicatively coupled to the processor and configured to receive information about a plurality of possible pre-determined target events,

wherein the processor is further configured to detect the occurrence of the event in which the user of the mobile device participates by comparing the audio features associated with the event with the information about the plurality of possible pre-determined target events, and

wherein the transceiver is further configured to transmit the estimated values and to transmit information about the occurrence of the event.

23. The mobile device of claim 22, wherein

the event comprises consuming a media program;

the one or more sensors include a microphone; and

the audio features associated with the event are generated as features of an audio waveform of the media program collected using the microphone.

24. The mobile device of claim 22, wherein at least one of collecting the sensor data, estimating the one or more values, or detecting the occurrence of the event occurs periodically, sporadically, or opportunistically.

25. The mobile device of claim 22, wherein the one or more sensors include one or more sensors selected from the group consisting of:

a microphone, a GPS receiver, an accelerometer, a light sensor, a magnetometer, a gyroscope, a proximity sensor, a camera, a barometric pressure sensor, a temperature sensor, a capacitive touch sensor, a Wi-Fi detector, and a Bluetooth®

detector.

26. The mobile device of claim 22, further comprising one or more applications configured to provide user content data including usage information about the user of the mobile device for use in at least one of estimating the one or more values and detecting the occurrence of the event.

27. A server for utilizing a data network to generate demographic statistics related to an event, the server comprising:

a communication interface communicatively coupled with the data network and configured to receive, from a mobile device, one or more estimated values for one or more categories of a demographic model of a user of the mobile device, wherein the estimated values are determined in accordance with a user-selected level of anonymity and wherein the estimated values comprise an estimated age of the user, and to receive, from the mobile device, sensor data associated with a change in a geographic location of the mobile device to detect the event in which the user of the mobile device participates; and

a processor communicatively coupled with the communication interface and configured to;

detect an occurrence of the event by comparing the sensor data associated with the change in the geographic location of the mobile device with information about a plurality of pre-determined target events,

store the estimated values in association with the detected event, wherein the estimated values were estimated using the sensor data available at the mobile device, and

generate demographic statistics for the detected event, wherein the demographic statistics include the stored estimated.

28. The server of claim 27, further comprising a storage medium communicatively coupled with the processor and configured to store the information about the plurality of pre-determined target events.

29. The server of claim 27, wherein the processor is further configured to associate with the event estimated values for categories of demographic models of users of other mobile devices who participate in the event.

30. The server of claim 27, wherein

the communication interface is further configured to receive information about the occurrence of the event from the mobile device;

and

the processor is configured to use the information about the occurrence of the event to associate the estimated values for the one or more categories of the demographic model of the user of the mobile device with the event.

31. The server of claim 27, wherein the communication interface is further configured to transmit the information about the plurality of pre-determined target events to the mobile device to assist the mobile device in detecting the occurrence of the event.

32. A computer program product residing on a non-transitory processor-readable medium and comprising processor-readable instructions configured to cause a processor to:

access one or more estimated values for one or more categories of a demographic model of a user of a mobile device, wherein the estimated values are determined in accordance with a user-selected level of anonymity and wherein the one or more estimated values comprise an estimated age of the user;

access sensor data associated with a change in a geographic location of the mobile device;

determine, based on the change in the geographic location of the mobile device, an event in which the user of the mobile device participates;

retrieve from storage information about a plurality of pre-determined target events;

detect an occurrence of the event by comparing the sensor data associated with the change in the geographic location of the mobile device with the information about the plurality of pre-determined target events;

store the estimated values in association with the detected event, wherein the estimated values were estimated using the sensor data available at the mobile device; and

generate demographic statistics for the detected event, wherein the demographic statistics include the stored estimated values.

33. The computer program product of claim 32, wherein the processor-readable instructions are further configured to cause the processor to associate with the event estimated values for categories of demographic models of users of other mobile devices who participate in the event.

34. The computer program product of claim 32, wherein the processor-readable instructions are further configured to cause the processor to access information about the occurrence of the event from the mobile device and use the information about the occurrence of the event to associate the estimated values with the event.

35. The computer program product of claim 32, wherein the processor-readable instructions are further configured to cause the processor to provide to the mobile device the information about the plurality of pre-determined target events to assist the mobile device in detecting the occurrence of the event.

36. An apparatus for generating demographic statistics related to an event, the apparatus comprising:

means for receiving one or more estimated values for one or more categories of a demographic model of a user of a mobile device, wherein the estimated values are determined in accordance with a user-selected level of anonymity and wherein the one or more estimated values comprise an estimated age of the user, and for receiving sensor data associated with the event in which the user of the mobile device participates;

means for processing to detect a change in a geographic location of the mobile device to determine an occurrence of the event by comparing the sensor data associated with the change in the geographic location with information about a plurality of pre-determined target events, and to store the estimated values in association with the detected event, wherein the estimated values were estimated using the sensor data available at the mobile device; and

means for generating demographic statistics for the detected event, wherein the demographic statistics include the stored estimated values.

37. The apparatus of claim 36, further comprising means for storing the information about the plurality of pre-determined target events.

38. The apparatus of claim 36, wherein the means for processing are further to associate with the event estimated values for categories of demographic models of users of other mobile devices who participate in the event.

39. The apparatus of claim 36, wherein

the means for receiving are further for receiving information about the occurrence of the event from the mobile device;

and

the means for processing are further to use the information about the occurrence of the event to associate the estimated values with the event.

40. The apparatus of claim 36, further comprising means for transmitting the information about the plurality of pre-determined target events to the mobile device to assist the mobile device in detecting the occurrence of the event.