Low-Power Sound Wave ID Extraction for Related Content
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Solution Overview
Problem
Existing methods for providing related content during product indirect advertisements require users to actively seek information, disrupting their passive viewing or listening experience and potentially draining mobile device batteries due to high power consumption.
Innovation Solution
A low-power system that automatically detects and extracts sound wave IDs from main content, allowing for the seamless provision of related content without user intervention, using a mobile receiver with a microphone, ADC, and processor to convert sound into digital data and display relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the mobile receiver continuously extracts sound characteristic or non-audible sound wave to automatically provide related content, then the efficiency of related content delivery is improved, but the power consumption increases causing battery shortage
Solution Approach 1:
The patent implements periodic action by having the mobile receiver extract sound characteristics at specific intervals rather than continuously. The sound extraction is performed periodically during content playback, allowing the system to maintain automatic related content delivery while reducing overall power consumption compared to continuous extraction.
Solution Approach 2:
The system employs self-service by automatically detecting sound characteristics and providing related content without requiring user initiation. The mobile receiver autonomously monitors the content playback, extracts sound features, and delivers relevant information, eliminating the need for users to manually search or request related content.
2Loss of information
If the user actively requests related content using mobile receiver application, then the related content can be received, but the user immersion in content is disrupted and extra effort is required
Solution Approach 1:
The system implements self-service by automatically extracting sound characteristics and providing related content without requiring any user action. The mobile receiver autonomously monitors content playback, identifies sound features, and delivers related information, completely eliminating the need for users to actively request or search for related content.
Solution Approach 2:
The system uses feedback by continuously monitoring the content playback and sound output, then automatically adjusting and providing related content based on the detected sound characteristics. This closed-loop approach ensures relevant information is delivered without interrupting the user's passive content consumption experience.
3Extent of automation
If the sound extraction is performed continuously in mobile receiver, then the related content is automatically provided, but the battery power is depleted
Solution Approach 1:
The patent applies periodic action by performing sound extraction at scheduled intervals rather than continuously. The mobile receiver activates sound extraction functionality periodically during content playback, maintaining automatic related content provision while significantly reducing power consumption and extending battery life compared to continuous operation.
Solution Approach 2:
The system uses partial action by extracting only the essential sound characteristics needed for related content identification rather than performing complete and continuous audio analysis. This selective extraction approach maintains automation while reducing computational load and power consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the efficient and immersive delivery of related content without user effort, while minimizing power consumption, thus enhancing user experience and extending battery life.
Implementation Method 1
a microphone configured to detect a sound which is outputted from a content player
Implementation Method 2
an ADC configured to convert the sound detected by the microphone into digital data
Data Source
AI summary
Provided is a system for providing related content comprising the steps of: sensing a sound output from a content reproducing device for reproducing content (referred to as “main content”); converting the sensed sound into digital data; extracting an acoustic wave ID from the digital data; selecting related content corresponding to the acoustic wave ID; and displaying the related content in an image and/or speech by a mobile receiver.


