Ambient Sound Pattern Detection for Context-Driven Mobile Content
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Solution Overview
Problem
Existing systems fail to effectively perform context-driven actions based on detected ambient sound patterns, particularly in environments where GPS location determination is unreliable, such as indoor settings, and do not utilize watermarks or distinguishing elements to trigger relevant content delivery to mobile devices.
Innovation Solution
A system that captures ambient information, detects watermarks or patterns, and performs context-sensitive searches by accessing user profile information to render relevant content on mobile stations, using watermarks embedded in audio or visual information to determine appropriate actions and deliver targeted content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If GPS location is used to determine MD position and push information, then location-based targeted advertising is achieved, but the system fails in indoor environments and consumes valuable network resources
Solution Approach 1:
The patent introduces ambient sound detection as an intermediary mechanism between the mobile device and the advertising system. Instead of directly using GPS location, the system detects sound patterns in the ambient environment and uses these patterns as mediators to determine appropriate advertising content, enabling indoor location services without requiring GPS receivers or consuming network resources for location tracking.
Solution Approach 2:
The patent replaces the mechanical/electronic GPS positioning system with an acoustic field-based system. Instead of using satellite signals and electronic location services, the system uses sound wave detection and pattern recognition to determine environmental context and trigger appropriate advertising, substituting a different physical domain (acoustic field) for the traditional positioning domain.
2Quantity of substance
If pushed advertisements are sent at periodic intervals, then advertising coverage is maintained, but the advertisements are received at wrong times and deleted or disregarded
Solution Approach 1:
The patent implements a feedback mechanism where the mobile device continuously monitors ambient sound patterns and uses this real-time environmental information as feedback to dynamically adjust advertising delivery. The system detects sound patterns, determines appropriate advertising content based on the detected patterns, and pushes advertisements only when the environmental context indicates suitability, creating a closed-loop system that adapts to user behavior and environment.
Solution Approach 2:
The patent transforms the static periodic advertising schedule into a dynamic advertising delivery system. Instead of sending ads at fixed time intervals, the system dynamically adjusts advertising delivery based on real-time detection of ambient sound patterns, user activity levels, and environmental context, making the advertising schedule flexible and adaptive to changing conditions.
3Adaptability or versatility
If ambient sound information is captured and processed to detect patterns, then context-driven advertising is enabled, but processing time and computational resources are consumed
Solution Approach 1:
The patent extracts and isolates specific distinguishing patterns from the ambient sound information. Instead of processing the entire ambient sound stream, the system identifies and extracts specific pattern elements (such as distinctive sounds, music genres, or acoustic signatures) that are sufficient to trigger appropriate advertising content, reducing the computational burden while maintaining context-driven capability.
Solution Approach 2:
The patent applies partial action by processing only the necessary portions of ambient sound information. The system selectively analyzes specific acoustic features and patterns rather than comprehensively processing all ambient sound data, using a targeted approach that processes only the minimal required information to achieve context-driven advertising decisions.
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 context-driven actions and targeted content delivery on mobile devices, improving the relevance and timeliness of advertisements by using ambient sound patterns and user profile information, even in environments where GPS is unreliable, thereby enhancing user engagement and reducing resource consumption.
Implementation Method 1
capturing ambient information; determining whether one or more distinguishing patterns is present in the captured ambient information
Data Source
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AI summary
The present invention relates to a method and system for rendering information comprising acts of capturing ambient information; determining whether one or more distinguishing patterns is present in the captured ambient information; accessing user profile information; requesting content information when it is determined that the captured one or more distinguishing patterns is present in the captured ambient information; and rendering the requested content information.