Information Device Position Estimation Using Portable Device Data
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Solution Overview
Problem
Existing systems struggle to accurately estimate the position of information devices, such as MFPs, without GPS functionality, based on user movement data.
Innovation Solution
A method utilizing a cloud server that collects and processes MFP operation history data and user movement history data to estimate the installation position of MFPs by calculating median values from multiple position information points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS functionality is added to information devices to accurately determine position, then position measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent introduces a portable device (smartphone, wearable, etc.) as an intermediary to determine the position of the information device. The portable device carries GPS or other positioning functions, and its position is used as a proxy for the information device's position when the user operates it. This avoids adding GPS to the information device itself, maintaining simplicity while achieving accurate position determination.
2Measurement precision
If multiple position information points are collected to reduce estimation deviation, then position estimation accuracy is improved, but data processing complexity and time increase
Solution Approach 1:
The system performs preliminary actions by collecting multiple position information points in advance before final position estimation is needed. Position data is gathered during various user operations and stored, so when position estimation is required, the system already has a set of pre-collected data points to work with, reducing the need for complex real-time processing.
Solution Approach 2:
The system employs periodic action by collecting position information at regular intervals during user operations. Instead of continuous monitoring, position data is gathered periodically when the information device is operated, creating a sufficient sample set for accurate estimation while minimizing data processing requirements.
3Adaptability or versatility
If position estimation adapts to changes in information device position, then adaptability is improved, but system complexity increases
Solution Approach 1:
The system implements feedback by continuously monitoring whether the information device has been moved and adjusting position estimation accordingly. When movement is detected or user operations occur at different locations, the system receives feedback and updates its position estimation based on new position information points, enabling adaptation to position changes without requiring complex predictive algorithms.
Data Source
AI summary
A non-transitory computer readable medium storing a program causes a computer to execute: estimating a position of an information device based on position information output by a portable device carried by a user at a time at which the user operates the information device.