Wearable Hydration Monitoring With Activity-Based Water Analysis
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Solution Overview
Problem
Existing wearable health care devices struggle to accurately determine user dehydration due to variations in biometric data based on the user's activity level, leading to inadequate fluid intake recommendations.
Innovation Solution
An electronic apparatus equipped with sensors and processors that differentiate between exercising and non-exercising states to apply specific body water analysis algorithms, providing tailored fluid intake recommendations using an output interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single body water analysis algorithm is used for all activity levels, then the device complexity is reduced, but the measurement precision of dehydration determination deteriorates
Solution Approach 1:
The patent segments the body water analysis into multiple activity-based modes (exercising mode and non-exercising mode), each with its own dedicated analysis algorithm. This segmentation allows the system to use simpler algorithms for each specific mode while maintaining high precision for that mode, resolving the contradiction between overall system complexity and measurement precision.
Solution Approach 2:
The patent implements dynamic algorithm selection based on real-time activity detection. The system automatically switches between different analysis algorithms depending on the user's activity state, making the system adaptable to varying conditions without requiring a single complex algorithm to handle all scenarios.
2Measurement precision
If activity-based algorithm differentiation is implemented, then the measurement precision of dehydration determination is improved, but the device complexity increases
Solution Approach 1:
The patent divides the analysis system into separate activity detection and body water analysis modules, each with dedicated algorithms. This segmentation isolates the complexity into manageable components while maintaining high precision in each segment.
Solution Approach 2:
The system performs self-service by automatically detecting activity level and selecting the appropriate analysis algorithm without user intervention. This automation manages the increased complexity internally while keeping the user interface simple.
3Reliability
If real-time biometric monitoring is performed, then the reliability of health management is improved, but the use of energy by the device increases
Solution Approach 1:
The patent implements periodic monitoring with activity-based triggering. Instead of continuous monitoring, the system periodically checks biometric data and performs detailed analysis only when activity changes are detected, reducing overall energy consumption while maintaining reliability during critical transitions.
Solution Approach 2:
The system dynamically adjusts monitoring intensity based on activity level. During high-activity periods when dehydration risk is higher, monitoring frequency increases. During low-activity periods, monitoring frequency decreases, optimizing the balance between reliability and energy consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately predicts dehydration risk and provides timely fluid intake guidance based on the user's activity level, enhancing user health management.
Implementation Method 1
an impedance sensor, a Photoplethysmogram (PPG) sensor, and an Electro Dermal Activity (EDA) sensor
Implementation Method 2
a Photoplethysmogram (PPG) sensor
Implementation Method 3
an Electro Dermal Activity (EDA) sensor
Data Source
AI summary
An electronic device and a control method thereof are disclosed. The electronic device includes one or more sensors, an output interface, and one or more processors that: by first sensing data of the one or more sensors, identify whether a user is exercising, and when the user is exercising, provide, through the output interface and by second sensing data acquired through the one or more sensors and a first total body water analysis algorithm, information guiding a water intake recommendation before the current total body water of the user reaches a reference total body water. And when the user is not exercising, provide, through the output interface and by the second sensing data and a second total body water analysis algorithm, the information guiding the water intake recommendation when the current total body water of the user reaches the reference total body water.