Ambient Noise Location Tracking Using Acoustic Signatures
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Solution Overview
Problem
Conventional geolocation techniques, such as GPS and Wi-Fi positioning, often provide location information at a low level of specificity, making it difficult to determine if a mobile device is indoors or outdoors, or to identify the specific location within a large venue like a shopping mall.
Innovation Solution
The system uses a microphone to detect ambient noises and compare them to a library of pre-recorded sounds to determine the device's location, and a temperature sensor to differentiate between indoor and outdoor environments, with notifications sent to a predetermined address indicating the current location and activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS or Wi-Fi positioning is used to track location, then location tracking capability is provided, but location specificity is low and cannot determine indoor/outdoor status
Solution Approach 1:
The patent divides the location tracking problem into multiple sensing dimensions: GPS/Wi-Fi for geographic coordinates, microphone for acoustic environment classification, and temperature sensor for indoor/outdoor differentiation. Each sensor handles a specific aspect of location context, collectively achieving high-specificity location determination without requiring a single complex system
Solution Approach 2:
The patent introduces an acoustic environment database as an intermediary between the microphone sensor and location determination. The database stores pre-recorded acoustic signatures of various locations (indoor venues, outdoor spaces, specific establishments) and serves as a reference library for matching detected sounds to specific location types, enabling indirect but accurate location identification
2Loss of information
If GPS is used for location tracking, then basic position information is obtained, but it cannot identify specific location within large venues or determine indoor/outdoor status
Solution Approach 1:
The patent implements periodic sampling of acoustic and temperature data rather than continuous monitoring. The system takes measurements at intervals and compares them against the database, reducing energy consumption while still capturing sufficient information to determine location context changes. This periodic approach balances information gathering with power conservation
Solution Approach 2:
The patent replaces the traditional GPS-reliant mechanical positioning system with acoustic and thermal sensing mechanisms. Instead of depending solely on satellite signals and wireless infrastructure, the system uses sound wave detection and temperature measurement to infer location context, substituting physical positioning mechanisms with environmental sensing
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
This method allows for more accurate tracking of a user's location, enabling parents to confirm their child's presence at a party or a user's activity at a baseball game, with increased specificity and reliability compared to traditional GPS systems.
Implementation Method 1
a microphone of the device may be utilized to track ambient noises and sounds around the device
Implementation Method 2
a temperature sensor of the device may be utilized to track an ambient temperature around the device
Data Source
AI summary
Techniques for tracking a current location of a user are described. According to various embodiments, an ambient noise signal proximate to a user device is detected using a microphone. Audio sample information may be accessed, where the audio sample information identifies various audio samples and, for each of the audio samples, a source of the corresponding audio sample. Thereafter, a specific audio sample corresponding to the ambient noise signal may be identified. Moreover, a current location of the user device may be determined, based on the source of the specific audio sample.