Personalized Journal System Using Context Data Tags for Wireless Devices
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Solution Overview
Problem
Wireless mobile communication devices face limitations in data management and retrieval due to physical constraints and power limitations, particularly in handling and organizing multimedia and biometric data within wireless networks.
Innovation Solution
A method and system for creating a personalized journal by collecting and annotating links to information using context data tags, which allows for efficient retrieval of data through user preferences and biometric event data mapping, utilizing a combination of local and remote data acquisition systems and storage for data processing and indexing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is stored locally in wireless mobile communication devices, then data retrieval speed is improved, but device memory capacity and power consumption are worsened
Solution Approach 1:
The patent segments data storage across multiple locations: local device memory for frequently accessed data, remote servers for archival storage, and cloud-based distributed storage systems. This segmentation allows fast local retrieval while offloading bulk storage to external systems, resolving the contradiction between retrieval speed and memory capacity constraints.
Solution Approach 2:
The patent introduces wireless communication networks and gateway systems as intermediaries between local devices and remote storage systems. These intermediaries enable efficient data transfer and retrieval, allowing devices to access large volumes of data without requiring substantial local memory, thus balancing speed and capacity requirements.
2Measurement precision
If comprehensive data is collected and stored for personalization, then journal personalization accuracy is improved, but power consumption and data management complexity are worsened
Solution Approach 1:
The patent performs preliminary data processing, filtering, and tagging during data collection phases. By pre-organizing data with metadata and context information, the system reduces the computational burden during later retrieval and personalization operations, thereby lowering power consumption while maintaining high personalization accuracy.
Solution Approach 2:
The system implements automated data categorization, tagging, and organization algorithms that operate autonomously without requiring intensive user intervention or high-power processing. This self-service approach enables comprehensive data collection and processing while minimizing power consumption through efficient, algorithm-driven automation.
3Speed
If extensive data is managed locally, then data access speed is improved, but device complexity and power consumption are worsened
Solution Approach 1:
The patent introduces network-based data management intermediaries that handle complex data organization, indexing, and retrieval operations remotely. This allows local devices to maintain simple access interfaces while sophisticated data management functions are performed by external systems, reducing device complexity without sacrificing access speed.
4Quantity of substance
If more data is stored for personalized journal creation, then journal content richness is improved, but retrieval and organization difficulty are worsened
Solution Approach 1:
The patent applies preliminary data tagging, categorization, and metadata assignment during the data collection phase. By pre-organizing extensive data with descriptive tags and contextual information, the system enables efficient retrieval and organization of rich journal content without increasing difficulty, as the preliminary structuring facilitates subsequent access and management.
Data Source
AI summary
A system and method is provided for handling data in wireless communication devices where data may be captured and linked to a personal journal via indexing and mapping of context data tags abstracted from captured data. The captured data may be retrieved by matching a query to one or more context data tags indexed and mapped to the personal journal. A user preference utilizing one or more of the context data tags linked to the personal journal may facilitate captured data retrieval. The captured data may include multimedia data of an event pre-tagged with indexed information such as user ID, time, date, location and environmental condition or optionally one or more user's biometric data in response to the event. The pre-tagged captured data may be stored in the local host device or transferred to a remote host or storage for later retrieval or post processing.


