Biometric Timing Detection with Environment Data Association
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Solution Overview
Problem
Existing technologies do not effectively recognize and utilize environment information when biometric information satisfies a specific criterion, limiting their ability to provide timely and relevant responses or predictions.
Innovation Solution
An information processing apparatus and method that determines the timing when biometric information satisfies a criterion, acquires associated environment information, and generates prediction information using statistical data or models to identify environments where biometric criteria are met, enabling outputs that inform about potential dangers or stress levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If biometric information is processed to determine timing when it satisfies a criterion, then the ability to identify critical moments is improved, but the system cannot recognize associated environment information without additional processing steps
Solution Approach 1:
The system performs preliminary action by acquiring environment information in advance and storing it in association with biometric information before the biometric criterion is satisfied. This ensures that when critical timing is detected, the corresponding environment information is already available without requiring additional real-time processing steps.
Solution Approach 2:
The system implements feedback by continuously monitoring biometric information, comparing it against criteria, and using the results to trigger retrieval of stored environment information. This closed-loop approach ensures that environment information is recognized and outputted precisely when biometric criteria are satisfied, eliminating information loss.
2Loss of information
If environment information is acquired and stored for each subject, then the completeness of information is improved, but the system complexity increases due to storage and retrieval requirements
Solution Approach 1:
The system applies universality by using a single storage structure that handles both biometric information and environment information together, associating them through subject identification. This multi-functional storage approach avoids the need for separate complex retrieval systems for different information types, reducing overall system complexity while maintaining information completeness.
3Reliability
If statistical data and models are used to generate prediction information, then the predictive capability is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary action by pre-computing statistical data and training models during periods when prediction is not urgently needed. These pre-computed results are stored and ready for rapid retrieval when real-time prediction is required, thereby maintaining high prediction accuracy while minimizing processing time during critical moments.
Data Source
AI summary
An information processing apparatus includes a biometric information processing unit that determines timing at which the biometric information satisfies a criterion by processing biometric information of a subject, an acquisition unit that acquires information indicating an environment of the subject at a date and time determined by using the timing, and an output unit that performs an output including the environment information.