Mobile Location Enhancement via Context Data Fusion
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Solution Overview
Problem
Existing methods for determining the location of mobile devices, such as GPS and cell triangulation, often fail to provide sufficient accuracy, especially in distinguishing between indoor and outdoor locations or specific environments like vehicles or buildings.
Innovation Solution
A method that enhances location information by processing location data in conjunction with additional context information, such as audio, visual, and text data, to determine more precise location details, using a system comprising a location information module that obtains and processes this data to provide enhanced location information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS and cell triangulation methods are used to determine location, then location information can be obtained, but the accuracy and precision are insufficient to distinguish between indoor and outdoor locations or specific environments
Solution Approach 1:
The patent combines multiple data sources including GPS location data, cell triangulation data, audio data, visual data, and text data to determine enhanced location information. By merging these diverse data types, the system overcomes the limitations of individual methods and achieves both accurate positioning and environmental context recognition.
Solution Approach 2:
The location information module is designed to perform multiple functions: it not only determines geographic location but also identifies environmental context such as indoor vs. outdoor settings, vehicle locations, and building locations. This multi-functional approach allows a single system to address both positioning accuracy and environmental information needs.
2Measurement precision
If additional context information such as audio, visual, and text data is processed to enhance location information, then location precision is improved, but device complexity increases
Solution Approach 1:
The location information module serves as a universal processing unit that handles multiple data types (audio, visual, text, location data) through a single integrated system. This multi-functional design improves location precision without proportionally increasing overall system complexity, as one module performs diverse functions.
Solution Approach 2:
The system processes additional context information automatically to enhance location data without requiring manual intervention. The location information module self-manages the integration and processing of multiple data sources, reducing the operational complexity burden on users while maintaining high precision.
Data Source
AI summary
A method, system and apparatus for obtaining enhanced location information for a mobile device. The mobile device is configured to allow a determination of its location, for example via GPS. Location data for the mobile device, exemplarily obtained via GPS, may be further specified using context information for the mobile device. Additional data is obtained and processed to obtain context information for the mobile device. Enhanced location information is determined for the mobile device at least in part based on processing the location data in association with the context information. Additional data may comprise, for example, ambient noise, speech, images or text.