Server Biometric Data Prediction and Selection
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Solution Overview
Problem
Continuous user biometric data transmission from handheld devices to servers results in excessive communication loads, leading to system errors and increased charges, making it difficult to provide timely and reliable information, especially during emergencies or when user peripheral information fluctuates due to daily activities or environmental changes.
Innovation Solution
A system where the server device selectively receives and transmits only required user biometric information at necessary times, using a handheld device and server system that continuously measures and processes user biometric and peripheral data to predict future trends, allowing for efficient communication and reliable information provision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous user biometric information is received by the server from the handheld device, then the server can provide timely and reliable information to the user, but the amount of information becomes excessively large, leading to system errors and increased communication charges
Solution Approach 1:
The server extracts and processes only essential information from the continuous biometric data stream. By identifying and transmitting only critical information (such as abnormal conditions requiring user attention) rather than all continuous data, the system reduces communication burden while maintaining reliability for emergency situations.
Solution Approach 2:
The system performs preliminary processing of biometric information locally at the handheld device before transmission to the server. This preliminary action filters and prepares data in advance, reducing the volume of information that needs to be transmitted while ensuring important information is preserved for timely delivery.
2Loss of time
If continuous user biometric information is transmitted in real time during an emergency, then timely information can be provided to the user, but the system error occurrence increases due to excessive communication load
Solution Approach 1:
The system implements feedback mechanisms where the server monitors communication conditions and adjusts data transmission accordingly. When system load is detected, the server can modulate transmission rates or prioritize critical emergency data, ensuring timely response during emergencies while preventing system errors through adaptive feedback control.
Solution Approach 2:
The information transmission system dynamically adjusts its behavior based on real-time conditions. During normal operation, the system transmits comprehensive data for reliable monitoring, but during emergency situations with high system load, it dynamically prioritizes and transmits only critical information, balancing response time with system reliability.
3Loss of information
If all continuous measurement values are transmitted to the server, then complete information is available for analysis, but excessive communication charges are imposed on the user
Solution Approach 1:
The system applies different processing qualities at different locations. Local processing occurs at the handheld device where biometric data is initially filtered and prepared, while the server performs comprehensive analysis only on essential information. This local quality approach reduces the volume of data requiring expensive long-distance communication while maintaining information completeness for critical analysis.
Solution Approach 2:
The information transmission is segmented into priority levels. Critical information requiring immediate server processing is transmitted separately from routine monitoring data. This segmentation allows the system to maintain information completeness for emergency situations while reducing communication charges by excluding non-critical data from transmission.
Data Source
Figure 1A
Figure 1B
Figure 1C
AI summary
When continuous user biometric information is transmitted to a server device continuously from a handheld device used by a user, the server device can be caused to receive a required measurement value efficiently at a required time, select information desired by the user on the basis of the measurement value and user peripheral information, and provide the user with the information reliably, without imposing excessive communication charges and the like. A server device 140 is used together with a handheld device 110 that transmits the user peripheral information to the server device and receives the information transmitted from the server device. After determining that a fluctuation has occurred in the user peripheral information transmitted from the handheld device 110, the server device 140 performs either processing for calculating a predicted value of future user biometric information or processing for receiving the predicted value of the future user biometric information, selects information on the basis of the predicted value and the user peripheral information, and transmits the selected information to the handheld device 110.