RFID Tag Interaction Tracking for Memory Support
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Solution Overview
Problem
Current technologies for assisting individuals with memory impairments, such as elderly people or those with episodic memory issues, are limited in managing interactions with multiple objects and do not effectively infer relationships between them, often requiring intrusive actions or rehabilitation-focused approaches.
Innovation Solution
A system utilizing RFID or NFC tags attached to objects and a portable reader that communicates with a mobile device to track interactions, processing unique identification codes, timestamps, and locations to infer affinities and provide information without user assistance, allowing for unobtrusive and simple setup.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors are installed in places where elderly people or problem memory patients live to supervise behavior, then memory monitoring capability is improved, but system complexity and intrusiveness increase
Solution Approach 1:
The system automatically detects interactions between persons and objects using RFID/NFC tags and portable readers, eliminating the need for complex sensor installations. The portable reader worn by the person performs self-service monitoring by automatically reading tag IDs during normal interactions, providing memory support without intrusive infrastructure changes.
Solution Approach 2:
The patent replaces complex mechanical sensor installations with electromagnetic field-based RFID/NFC tag reading. Instead of installing sensors throughout the environment, the system uses portable readers that detect electromagnetic tags on objects during normal use, substituting infrastructure-heavy approaches with lightweight wireless communication.
2Reliability
If sensors are installed in medicine packages to check dosage adherence, then medication monitoring is improved, but device complexity and installation difficulty increase
Solution Approach 1:
The system allows medication monitoring through simple attachment of RFID/NFC tags to medicine packages, which are then automatically detected by the portable reader during normal handling. This eliminates complex sensor installation in each medicine package, replacing it with simple tag attachment that can be done during manufacturing or by the user.
Solution Approach 2:
The portable reader serves multiple functions including medication monitoring, object interaction tracking, and memory support across different contexts. A single universal device replaces multiple specialized sensors, simplifying both manufacturing and deployment while maintaining reliable monitoring capabilities.
3Loss of information
If a system tracks interactions with multiple objects and infers relationships, then information retrieval capability is improved, but processing complexity increases
Solution Approach 1:
The system pre-processes interaction data by clustering temporal and spatial information to identify affinity relationships between objects before queries are made. By organizing data into affinity clusters in advance, the system enables rapid information retrieval without complex real-time processing when a person queries about an object or interaction.
Solution Approach 2:
The system creates simplified representations of complex interaction patterns by generating affinity clusters that capture essential relationships between objects. These clustered representations serve as simplified copies of the full interaction data, enabling efficient querying and information retrieval without processing the complete detailed dataset.
4Ease of operation
If the system provides unobtrusive operation without user intervention, then ease of operation is improved, but automation requirements increase
Solution Approach 1:
The portable reader automatically detects RFID/NFC tags during normal interactions without requiring user activation or intervention. The system self-services by continuously monitoring the environment and automatically processing interaction data, providing unobtrusive operation while maintaining high automation levels for memory support functions.
Solution Approach 2:
The system provides automatic feedback by analyzing interaction patterns and generating memory support information without user intervention. The affinity analysis and interaction clustering continuously process data and provide relevant information back to the user, creating a closed-loop automated system that operates unobtrusively while maintaining high ease of operation.
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
Enables retrieval of information about object interactions without user intervention, simplifies system installation, and identifies relationships between objects, aiding in memory recovery and everyday tasks by providing accessible information about object usage and locations.
Implementation Method 1
a portable reader (2) worn by the person to read an electromagnetic tag (1) attached to each object (4)
Data Source
Figure 1~2
Figure 3~4
Figure 5A~5B
AI summary
A electronic management for interactions of a person with a plurality of objects (4) is disclosed. In the person's environment, objects (4) must have an attached electromagnetic tag (1) comprising a unique identification code. The person carries portable reading means (2) to periodically read electromagnetic tags (1) of near objects (4). Processing means (3) receive the identification code previously read together with additional information regarding the location and the time of each reading operation in order to create specific tag reading events (5) that can be grouped for further analysis according to location and temporal values of each read tag (1). Therefore, the processing means can define representative points and to identify individual interactions and then relate interactions in a simpler and more accurate manner.