Wearable Memory Aid System for Selective Audio Video Data Storage
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Solution Overview
Problem
Current memory aid systems face challenges in effectively recording and retrieving important audio/video data for retrospective memory enhancement, particularly in managing large volumes of data and providing real-time assistance for improving anecdotal memory.
Innovation Solution
A memory aid method utilizing a wearable device and mobile terminal that receives, processes, and prioritizes audio/video data by extracting character/feature data, generating object and context data, and determining importance based on a personal information database, allowing for selective storage and retrieval of relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuously recorded images are provided to help memory, then memory improvement is achieved, but the amount of video data becomes too large to use in real time
Solution Approach 1:
The patent extracts and separates important information from continuously recorded audio/video data by identifying key objects, characters, and contextual elements. This extraction process isolates essential memory-related information from the overwhelming volume of raw data, making it manageable and useful for real-time memory assistance while maintaining memory improvement benefits.
Solution Approach 2:
The system introduces an intermediary processing layer that analyzes audio/video data and extracts meaningful information such as key objects, character interactions, and contextual metadata. This intermediary layer acts as a bridge between raw continuous recording and usable memory aid information, reducing data volume while preserving memory-enhancing content.
2Loss of information
If all audio/video data is stored for memory retrieval, then complete information is available, but data management and retrieval efficiency deteriorate
Solution Approach 1:
The patent segments audio/video data into distinct meaningful units based on identified objects, characters, events, and contextual metadata. This segmentation organizes continuous data into discrete, searchable segments that can be efficiently retrieved based on specific queries while maintaining information completeness across all segments.
Solution Approach 2:
The system performs preliminary analysis and tagging of audio/video data during the recording phase, identifying and labeling key objects, characters, and contextual elements before retrieval is needed. This preliminary action creates an organized structure with metadata that enables rapid efficient retrieval without sacrificing information completeness.
3Reliability
If important information is automatically identified and stored, then memory aid effectiveness is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where the system automatically identifies important information, extracts key features, and organizes data without requiring manual intervention. The system serves itself by autonomously performing analysis, segmentation, and storage of memory-relevant information, improving effectiveness while managing complexity through automation.
Data Source
AI summary
Disclosed herein is a memory aid method of selecting data watched by a user, recording the selected data along with situation/behavior data upon watching, providing recorded audio/video data in response to a situation condition. The memory aid method may include receiving audio/video data from a wearable device, separating unit data including only associated parts from the audio/video data, and extracting character or feature data from the unit data. Object data and context data are generated from the character/feature data. Importance of the generated object and context data is determined with reference to a personal information DB. Audio/video data is stored depending on the importance. The method can record audio/video data recognized by a user at normal times, extract data necessary for a current situation, and provide the extracted data to the user. Accordingly, a user can accurately remember information that was watched in the past.