Media Presentation Content Detection Using Rolling Power Metrics
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Solution Overview
Problem
Existing audience measurement systems face challenges in accurately determining whether a media presentation device is providing content during a particular time period due to issues such as microphone placement, noise interference, and inconsistent power draw across different device states, leading to untimely and inaccurate analysis.
Innovation Solution
A method involving power data analysis to determine rolling power metrics and prediction intervals is used to assess content presence, combining audio fingerprinting with power consumption patterns to improve reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If audio fingerprinting is used to detect content presence, then detection capability is improved, but reliability deteriorates due to microphone placement issues and noise interference
Solution Approach 1:
The patent combines audio fingerprinting with power consumption pattern analysis to detect content presence. The system uses both the audio signal from the microphone and the power draw data from the media presentation device to make a more reliable determination, merging two different detection approaches to compensate for the weaknesses of each individual method.
Solution Approach 2:
The patent introduces power consumption data as an intermediary indicator to assess content presence. Instead of relying solely on direct audio detection, the system uses power draw patterns as a mediator that reflects device state and content presence, providing an alternative measurement pathway that complements audio fingerprinting.
2Ease of operation
If traditional audio-based methods are used for audience measurement, then ease of operation is maintained, but measurement precision deteriorates due to noise interference and inconsistent power draw
Solution Approach 1:
The patent changes the measurement parameter from purely audio-based detection to a combination of audio and power consumption parameters. By incorporating power draw data as an additional parameter, the system achieves more precise measurements while maintaining ease of operation through automated multi-parameter analysis.
3Measurement precision
If power data analysis with rolling metrics and prediction intervals is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent performs preliminary actions by pre-calculating rolling power metrics and establishing prediction intervals before actual content presence determination. This preparation allows the system to efficiently assess content presence without performing complex calculations in real-time, reducing operational complexity while maintaining high measurement precision.
Data Source
AI summary
In one aspect, an example method is disclosed. The example method includes: (a) receiving power data associated with a media presentation device, wherein the power data is associated with a plurality of time intervals; (b) using at least the received power data to determine one or more rolling power metrics for each of the plurality of time intervals, wherein each of the one or more rolling power metrics is for a corresponding rolling time window; (c) using at least the determined one or more rolling power metrics to determine one or more corresponding prediction intervals, wherein each of the one or more corresponding prediction intervals corresponds to one of the one or more rolling power metrics; and (d) using at least the one or more corresponding prediction intervals to determine a content presence state for the media presentation device for one or more of the plurality of time intervals.