Wearable Electronics Module Coupling Feedback for Stable Data Links
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Solution Overview
Problem
Existing wearable devices face challenges in maintaining stable communicative connections with removable electronics modules due to misalignment, moisture, or environmental factors, leading to inaccurate measurement data and user discomfort.
Innovation Solution
An electronics module with a processor that analyzes measurement data to detect anomalies in the connection and triggers notifications or compensations to adjust the mechanical coupling, ensuring reliable data transmission and user comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the electronics module is removably mechanically coupled to the wearable article, then ease of operation is improved, but reliability deteriorates due to connection instability
Solution Approach 1:
The system continuously monitors signal quality metrics (amplitude, noise levels, signal-to-noise ratio) from the communicative connection between the electronics module and wearable article. When anomalies are detected, the system provides feedback to adjust the mechanical coupling position, ensuring stable connection while maintaining ease of removable attachment.
Solution Approach 2:
The system performs preliminary analysis of measurement data to detect connection anomalies before they significantly degrade data quality. By proactively identifying misalignment or connection issues, the system can prompt users to adjust the coupling in advance, preventing reliability deterioration.
2Reliability
If the processor analyzes measurement data to detect connection anomalies, then reliability is improved, but use of energy increases
Solution Approach 1:
The processor performs partial analysis of measurement data by focusing on specific signal quality metrics (amplitude, noise levels, signal-to-noise ratio) rather than comprehensive data processing. This selective analysis maintains data accuracy while reducing computational energy consumption.
Solution Approach 2:
The system uses the existing measurement data collected for normal operation to simultaneously detect connection anomalies, rather than requiring separate dedicated sensing resources. This self-service approach improves reliability without proportionally increasing energy consumption.
3Reliability
If the system triggers notifications to prompt user adjustment, then reliability is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary detection and analysis of connection anomalies, providing users with advance notice before data quality significantly deteriorates. This allows users to make timely adjustments without urgent interruptions, reducing overall time loss while maintaining reliability.
Solution Approach 2:
The system replaces manual continuous monitoring with automated processor-based analysis of measurement data. This substitution reduces the need for frequent user interventions and time-consuming manual checks, improving reliability while minimizing time loss.
Data Source
AI summary
The system 10 comprises an electronics module 100 removably mechanically coupled to a 5 wearable article 200. The electronics module 100 forms a communicative connection with the wearable article 200 to receive measurement data from the wearable article 200. A processor analyses measurement data obtained when the electronics module 100 is mechanically coupled with the wearable article 200 to determine whether an anomaly condition is present. The anomaly condition is indicative of an anomaly in the communicative connection between the electronics module 100 and the wearable article 200. If the anomaly condition is present, the processor triggers the generation of a notification to prompt the user to adjust the mechanical coupling between the electronics module 100 and the wearable article 200 so as to adjust the communicative connection between the electronics module 100 and the wearable article 200.