Sensor-Embedded Garment Liner for Real-Time Secretion Alerts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies lack effective methods for real-time monitoring and alerting of potential health threats and safety hazards through wearable garments, particularly in detecting harmful substances and conditions in bodily fluids.
Innovation Solution
A garment embedded with sensors and a computing device that analyzes biological samples, authenticates the user, and generates alerts based on detected conditions, utilizing machine learning to classify emergency levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors and computing devices are embedded in garments to enable real-time biological sample analysis, then health monitoring capability and safety alerting are improved, but device complexity and manufacturing difficulty increase
Solution Approach 1:
The patent combines multiple sensors, computing devices, and alerting mechanisms into an integrated garment system. The liner integrates biological sample collection with sensor analysis and computing processing in a single wearable unit, enabling real-time health monitoring while distributing complexity across multiple coordinated components rather than requiring a single complex device
Solution Approach 2:
The garment system performs multiple functions including biological sample collection, sensor-based analysis, user authentication, condition detection, and alert generation through a single integrated platform. The computing device executes diverse algorithms for different health parameters and safety conditions, making the system multi-functional and reducing the need for separate specialized devices
2Measurement precision
If multiple sensors are embedded in the liner to detect various biological samples, then detection accuracy is improved, but manufacturing precision requirements increase
Solution Approach 1:
The patent divides the sensing function into multiple specialized sensors, each detecting specific biological parameters (e.g., pH, temperature, chemical markers). Each sensor is optimized for its specific measurement task, and the computing device coordinates their data. This segmentation allows each sensor to be manufactured with standard precision while achieving high overall detection accuracy through multi-parameter measurement
Solution Approach 2:
Different regions of the liner are designed with specific sensor configurations tailored to local detection requirements. The liner structure and sensor placement are optimized for their specific functional zones, allowing each area to be manufactured with appropriate local precision rather than requiring uniform high precision across the entire garment
3Speed
If real-time analysis of biological samples is performed to detect harmful substances, then safety response time is improved, but energy consumption increases
Solution Approach 1:
The system performs biological sample analysis at periodic intervals rather than continuously, with the computing device monitoring sensor data and triggering full analysis only when conditions warrant attention. This periodic processing maintains safety response capability while significantly reducing energy consumption compared to continuous operation
Solution Approach 2:
The system uses low-power sensor monitoring to detect preliminary indicators of harmful conditions and reserves full computational analysis for when thresholds are approached. This partial action approach maintains rapid response capability for critical events while minimizing energy consumption during normal operation through reduced computational activity
4Measurement precision
If user authentication is performed before analysis to ensure safety, then data accuracy is improved, but operational complexity increases
Solution Approach 1:
The authentication system automatically verifies user identity using biological markers or device identifiers without requiring manual intervention. The computing device handles authentication autonomously before initiating sample analysis, ensuring data accuracy while maintaining ease of operation through automated rather than manual authentication processes
Data Source
AI summary
An apparatus, and method, for a garment embedded secretion analysis. The system includes a liner that includes at least a sensor from a plurality of sensors. The system also includes a computing device embedded in the liner and communicatively connected to the at least a sensor, where the computing device includes a detection module configured to extract at least a biological sample from the user, authenticate the user as a function of the biological sample and a biological data of the user, detect a condition datum as a function of the biological sample and biological data of the user and determine an event datum as a function of the condition datum. Computing device also includes a safety module configured to receive the event datum and generate an alert datum as a function of the event datum.