Foothold-Based Profiling for Mobile Terminals
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Solution Overview
Problem
Existing methods for location information collection and profiling lack comprehensive foothold detection and personal data protection, with a focus on personal location information rather than object location information, and rely on network-dependent learning models.
Innovation Solution
A foothold-based profiling method that collects information about events on a terminal, such as communication connections, charging, and user inputs, using location data from indoor positioning and GNSS, and selects footholds based on connectivity, payment, and stay duration, with a terminal comprising a data collector, place learner, and processor for profiling and route pattern analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location information is collected continuously for profiling, then profiling accuracy is improved, but power consumption increases
Solution Approach 1:
The system collects location information periodically based on triggering events rather than continuously. Location data is collected at specific intervals when events occur, such as when the terminal connects to a network, charges, or when movement is detected, thereby reducing overall power consumption while maintaining sufficient profiling accuracy.
Solution Approach 2:
The terminal device itself performs the profiling analysis using its own processing capabilities. The device collects location information and event data, then independently determines footholds and generates profiling results without requiring constant external server intervention, reducing the energy overhead of continuous network communication and external processing.
2Loss of information
If detailed location information is collected for profiling, then profiling completeness is improved, but personal data protection becomes more difficult
Solution Approach 1:
The system extracts and processes only the essential location information needed for profiling purposes, separating it from unnecessary personal data. By focusing on collecting and analyzing only the minimum required location data to determine footholds and movement patterns, the system maintains profiling completeness while minimizing personal data exposure and protection risks.
Solution Approach 2:
The terminal device acts as an intermediary that processes location information locally before any potential transmission. The device performs foothold determination and profiling analysis on-device, serving as a mediator that protects user privacy by keeping detailed location data within the terminal rather than continuously transmitting it to external servers.
3Power
If learning model processing is performed via network server, then computational capability is improved, but network dependency increases
Solution Approach 1:
The profiling system is segmented into two parts: lightweight data collection and processing performed locally on the terminal, and optional heavy-duty analysis that can be performed externally. The terminal handles essential foothold determination independently, while more complex profiling tasks can be performed locally or offloaded to servers as needed, reducing network dependency while maintaining computational capability.
Solution Approach 2:
The terminal performs preliminary processing of location data and event information locally to determine footholds before any potential external analysis. By pre-processing data on-device and identifying key footholds upfront, the system reduces the need for continuous network communication and external computational resources, thereby reducing network dependency while maintaining analytical capability.
Data Source
AI summary
Disclosed are a foothold-based profiling method and a terminal using the same. A foothold-based profiling method includes collecting information about an event, collecting location information of a terminal when an event occurs, selecting a foothold based on location information, and collecting information about the foothold. According to the present disclosure, footholds may be determined based on connectivity related events of the terminal, and profiling information may be collected in regards to movement between the footholds.