Legacy Device Onboarding via Audio Signal Obfuscation
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Solution Overview
Problem
Legacy home devices lack easy integration into smart home monitoring systems due to complex data-entry setups and privacy concerns related to continuous audio sensing, which overhears speech and device operation.
Innovation Solution
A hierarchical data model-based multi-phase onboarding process for legacy devices using ambient sensors, combined with speech obfuscation techniques like temporal shuffling to maintain device detectability while ensuring privacy, by transforming audio signals to render speech unintelligible.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous audio sensing is used to monitor legacy devices, then device detectability is improved, but user privacy deteriorates due to speech overhearing
Solution Approach 1:
The patent segments the audio processing pipeline into distinct functional components: audio capture, speech detection, speech obfuscation, and device monitoring. By separating speech processing from device monitoring functions, the system can selectively obfuscate speech content while preserving device operational signals, thus maintaining detectability without compromising privacy.
Solution Approach 2:
The patent introduces speech obfuscation as an intermediary processing step between audio capture and analysis. This intermediary layer transforms speech content into unintelligible forms while preserving acoustic patterns necessary for device detection, effectively mediating between the conflicting requirements of privacy protection and device monitoring.
2Measurement precision
If complex data-entry setup is required for legacy device integration, then device identification accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements self-service mechanisms where the system automatically performs device identification and characterization without requiring manual data entry from users. The ambient sensors automatically capture device acoustic signatures, and the system autonomously processes this data to identify and integrate legacy devices into the smart home ecosystem, eliminating complex setup procedures.
Solution Approach 2:
The patent performs preliminary device characterization during the onboarding process by capturing audio samples and extracting acoustic features before full system integration. This preliminary action establishes device profiles in advance, enabling automatic recognition and reducing the need for repeated manual configuration or detailed user input during subsequent operations.
Data Source
AI summary
Detecting and monitoring legacy devices (such as appliances in a home) using audio sensing is disclosed. Methods and systems are provided for transforming audio data captured by the sensor to afford privacy when speech is overheard by the sensor. Because these transformations may negatively impact the ability to detect/monitor devices, an effective transformation is determined based on both privacy and detectability concerns.