User State Determination Device for Lost Article Location
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Solution Overview
Problem
Existing systems face challenges in determining the location where a user is likely to have lost an article, as they require pre-installation of sensors in potential loss areas, making it difficult to identify such locations.
Innovation Solution
A user state determination device that acquires moving history information and determines a specific location as a likely loss site based on patterns such as leaving and returning to a spot within a short time, using databases to store and analyze user movement data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If special sensors are pre-installed at potential loss locations to detect lost articles, then detection reliability is improved, but device complexity and installation difficulty increase
Solution Approach 1:
The system uses the user's own mobile terminal to perform detection functions. The mobile terminal autonomously tracks the user's movement history and analyzes patterns to identify potential loss locations, eliminating the need for external sensor installations. The user device serves itself as both the tracking subject and the analysis tool.
Solution Approach 2:
Physical sensor installations are replaced with digital data analysis. Instead of using object detection units that physically detect articles, the system substitutes mechanical detection with electronic analysis of movement history data from GPS and mobile terminal logs, achieving detection through information processing rather than physical sensing.
2Difficulty of detecting and measuring
If special sensors are pre-installed at potential loss locations, then detection capability is improved, but ease of operation deteriorates due to difficulty in determining installation locations
Solution Approach 1:
Instead of installing sensors to detect loss and then identifying locations, the system inverts the approach: it first analyzes movement history to identify potential loss locations, then uses those identified locations for targeted detection. The determination of loss-prone locations precedes the detection process, making the system easier to deploy.
Solution Approach 2:
The system performs preliminary analysis of movement history data before actual loss detection. By pre-analyzing user movement patterns to identify high-risk locations, the system prepares detection resources in advance at the right locations, eliminating the need for random or trial-based sensor installation.
3Ease of operation
If movement history data is collected and analyzed to determine loss locations, then ease of operation is improved, but loss of time increases due to data processing requirements
Solution Approach 1:
The system focuses analysis on specific, high-probability movement patterns rather than processing all possible data. By concentrating on predetermined patterns such as stopping behavior, route deviations, and time-of-day anomalies, the system achieves sufficient accuracy without exhaustive data processing, reducing time loss while maintaining ease of operation.
Data Source
AI summary
A user state determination device that can simply determine a location at which a user has fallen into a user state in which the user has lost an article or the like is provided. The user state determination device 100 includes: a user information acquiring unit 101 configured to acquire moving history information of a user; and a state determining unit 102 configured to determine that one spot (one location) serving as a start point of a predetermined moving pattern is likely to be a specific spot (a specific location) at which the user has fallen into a predetermined state (a state in which the user has lost an article) when the moving history information indicates the moving pattern. The predetermined state of a user refers to a state in which an article has been lost and is a state in which the user needs to perform a non-purposeful visit to the one spot (a visit to retrieve the lost article).