Multi-Point Sensor Array for Earpiece Biometric Accuracy
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Solution Overview
Problem
Current biometric sensors in wearables face limitations due to positioning, shearing stresses, power constraints, exposure to caustic agents, and accuracy issues, leading to inaccurate data and authentication failures.
Innovation Solution
A system and method utilizing a multi-point sensor array in wireless earpieces that includes a processor to analyze and optimize biometric measurements by aggregating data from multiple sensors, filtering noise, and selecting the cleanest signal, allowing for enhanced accuracy and additional data points to improve biometric readings and body performance analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are deployed at different body locations, then measurement accuracy and signal quality are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system divides the sensing function across multiple discrete sensor locations (e.g., ear canal, earlobe, outer ear) rather than relying on a single sensor. Each sensor captures biometric data from its specific location, and the system segments the overall measurement task into multiple independent sensing points that can be processed individually and then combined for improved accuracy.
Solution Approach 2:
The system merges data from multiple sensors located at different body positions to create a comprehensive biometric measurement. By combining signals from various sensor locations, the system achieves more accurate and reliable measurements while compensating for limitations at individual sensor sites through data fusion and algorithmic processing.
2Measurement precision
If sensors are positioned at optimal locations for signal quality, then measurement accuracy improves, but the device may be exposed to harsher environmental conditions and mechanical stresses
Solution Approach 1:
Different sensors are placed at different locations on the body (ear canal, earlobe, outer ear), each experiencing different environmental conditions and mechanical stresses. The system tailors the sensing approach to each local environment, selecting sensor types and protection strategies appropriate for each specific location's conditions while maintaining optimal signal quality.
Solution Approach 2:
The system uses intermediary processing and selection algorithms that mediate between the raw sensor data and the final measurement. These intermediaries can identify and compensate for data quality issues arising from environmental exposure, selecting the cleanest signals while filtering out noise from harsh conditions.
3Measurement precision
If additional sensors are added to the system, then data accuracy and noise filtering capability improve, but power consumption and processing requirements increase
Solution Approach 1:
The system activates and processes data from multiple sensors only when needed for improving measurement accuracy, rather than continuously operating all sensors at full capacity. The algorithm selectively engages additional sensors based on signal quality requirements, power availability, and measurement needs, performing partial sensing operations when full sensor arrays are not necessary.
Solution Approach 2:
The system dynamically changes operational parameters such as sampling rates, sensor activation states, and processing intensity based on current measurement requirements and power conditions. When power is limited or measurements are stable, the system reduces processing intensity and sensor activity; when accuracy is critical, it increases resource utilization.
Data Source
AI summary
A method for enhancing sensor measurements includes performing measurements utilizing sensors of wireless earpieces, analyzing the measurements to determine statistical confidence in the measurements, and determining whether the measurements are accurate utilizing the statistical confidence. The measurements may be biometric measurements of a user utilizing the wireless earpieces. The measurements may be environmental measurements. A wireless earpiece may include a frame for fitting in an ear of a user, a logic engine controlling functionality of the wireless earpiece, and a plurality of sensor performing biometric measurements of the user. The logic engine perform measurements utilizing a plurality of sensors of the wireless earpiece, analyzes the measurements to determine a statistical confidence interval of the measurements, determines whether the measurements are accurate utilizing the statistical confidence interval, and optimizes the measurements to determine a biometric reading of the user in response to determining the measurements are not accurate.