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Estimating media audience demographics via context-aware mobile devices

A technology of mobile devices and demographics, applied in location-based services, transmission systems, selective content distribution, etc., can solve problems such as high cost, low accuracy, and difficulty in determining whether family members or household residents are watching or listening

Inactive Publication Date: 2019-01-08
QUALCOMM INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Leaving aside its high cost and low accuracy, such methods have many disadvantages
For example, current television ratings systems cannot generate audience statistics for events outside of the home environment, have difficulty determining which family members or household residents are watching or listening at a given time, and cannot gather information about non-broadcast viewing or listening (e.g., Internet Viewed, Viewed via Set-Top Box, Streamed or Stored Audio Listening) Statistics

Method used

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  • Estimating media audience demographics via context-aware mobile devices
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Embodiment Construction

[0022] The following description is provided with reference to the drawings in which like reference numbers are used to refer to like elements throughout. While various details of one or more techniques are described herein, other techniques are also possible. In some instances, well-known structures and devices are shown in block diagram form in order to facilitate describing various techniques.

[0023] The techniques described herein provide mechanisms for generating demographic data about events using context-aware mobile devices. The sensor data available at the context-aware mobile device is used to estimate the value of the category of the demographic model of the user of the mobile device and to detect the occurrence of events in which the user of the mobile device participates. The estimated values ​​of the categories of the user's demographic model are associated with the events in which the user participated. Demographic models contain categories (eg, age, gender,...

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Abstract

A method of generating demographic data about an event comprising: 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 the sensor data acquired at the mobile device to detect an occurrence of the event attended by the user of the mobile device; and associating the estimated value of the category of the demographic model of the user of the mobile device with the event.

Description

Background technique [0001] Mobile devices are pervasive in today's society. For example, people use cellular phones, smart phones, personal digital assistants, laptop computers, pagers, tablet computers, etc. to wirelessly send and receive data to and from an infinite number of locations. Furthermore, advances in wireless communication technology have greatly increased the versatility of today's wireless communication devices, enabling users to perform from a single portable device a wide range of tasks that would conventionally require multiple devices or larger non-portable devices. [0002] Mobile devices may be configured for context awareness, which allows the mobile device to determine the current context surrounding the user of the mobile device. For example, the mobile device can sense the user's current location, the mobile device's surroundings, the user's current activities, who the user is currently with, and the like. Many on-board sensors can provide raw data ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W24/00H04W4/021H04W4/029H04W4/21
CPCH04W4/029H04W4/21H04L67/306H04N21/2187H04N21/252H04N21/25883H04N21/41407H04N21/42202H04N21/42203H04N21/4223H04N21/466H04N21/6582H04W4/021H04L67/535H04N21/24
Inventor 里昂纳德·亨利·葛罗科普
Owner QUALCOMM INC