Wearable Sensor Switching for Accurate Biometric Data Acquisition
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Solution Overview
Problem
Wearable devices with multiple sensors generate duplicate and inaccurate biometric data, making it difficult to determine the most accurate information, leading to user confusion and unnecessary alarms.
Innovation Solution
A method and device that periodically collect data from multiple sensors, calculate accuracy, and activate only the most accurate sensor based on priority information, integrating sensors for long-term accurate biometric data acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple wearable devices with sensors are used to collect biometric information, then the quantity of data collected increases, but the accuracy and reliability of the biometric information decreases due to duplicate and inconsistent data
Solution Approach 1:
The system segments the data collection function by assigning different roles to multiple wearable devices: one device acts as the primary data collector while others serve as secondary validators. This segmentation allows the system to maintain multiple data sources while establishing a clear hierarchy for data reliability, resolving the contradiction between quantity and accuracy.
Solution Approach 2:
The system implements feedback mechanisms where collected biometric data is continuously validated against reference values and previous measurements. Devices provide feedback on data quality metrics, and the system adjusts which device is actively collecting data based on this feedback, ensuring high accuracy while utilizing multiple devices.
2Duration of action of moving object
If multiple sensors continuously collect data, then the completeness of monitoring is improved, but the complexity of data management and device coordination increases
Solution Approach 1:
The system merges the functionality of multiple wearable devices into a unified data management framework. By combining data collection, validation, and device coordination functions into a centralized system, the patent reduces the complexity of managing multiple devices while maintaining continuous monitoring capabilities across all devices.
Solution Approach 2:
The system dynamically adjusts which devices are active and how they coordinate based on real-time conditions such as data quality, device status, and monitoring requirements. This dynamic allocation of roles simplifies coordination by allowing the system to optimize device usage patterns rather than maintaining fixed complex coordination protocols.
3Reliability
If all wearable devices remain active simultaneously, then the availability of data is improved, but the energy consumption and resource usage increases
Solution Approach 1:
The system implements periodic switching between active and standby modes for different wearable devices. Instead of keeping all devices continuously active, the system periodically evaluates data quality and device status, then activates only the most suitable device for data collection at any given time, reducing overall energy consumption while maintaining data availability.
Solution Approach 2:
Each wearable device is equipped with self-diagnostic capabilities that allow it to assess its own data quality and operational status. Devices can autonomously determine when they should be active or standby based on their own performance metrics, reducing the need for constant coordination overhead and enabling energy-efficient operation while maintaining reliability.
Data Source
AI summary
A sensor data acquisition method using a plurality of electronic devices includes receiving sample sensor data from each of the electronic devices for each predetermined period; generating reference data based on the sample sensor data; calculating a measurement accuracy of each of the electronic devices for each predetermined period based on at least one of the sample sensor data or the reference data; determining priority information of each of the electronic devices for each predetermined period based on at least one of the measurement accuracy or state information of each of the electronic devices; determining a measurement-activated electronic device and a measurement-deactivated electronic device based on the priority information; receiving sensor data from the measurement-activated electronic device for a time unit of a predetermined period; and determining whether to change the measurement-activated electronic device to another electronic device based on the priority information updated in each predetermined period.