Hydration Tracking With Baseline Calibration and Sip Detection
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Solution Overview
Problem
Individuals find it difficult to accurately track their fluid intake, especially those with busy schedules or older adults who may forget to log their hydration, leading to inaccurate data entries and poor hydration management.
Innovation Solution
Utilizing sensor-equipped electronic devices, such as smart-glasses, neck-straps, and smart-watches, to detect drinking and eating behaviors, determine individualized baseline consumption rates, and adjust hydration levels based on diuretic or anti-diuretic effects of consumed substances, while considering contextual factors like temperature and activity levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tracking of fluid consumption is used, then individuals can monitor their hydration, but the process is tedious and prone to inaccurate data entries
Solution Approach 1:
The system uses sensors to automatically detect drinking events and calculate fluid intake without requiring user intervention. The wearable device self-monitors hydration by detecting swallowing motions and using baseline consumption rates, eliminating the need for manual logging while maintaining accurate tracking.
Solution Approach 2:
The patent replaces manual tracking mechanisms with sensor-based detection systems. Accelerometers, gyroscopes, and other sensors detect physical motions associated with drinking and swallowing, automatically converting mechanical movements into digital data for hydration analysis without requiring user input.
2Measurement precision
If automated sensor detection is used to track drinking events, then data accuracy improves, but device complexity increases
Solution Approach 1:
The wearable device integrates multiple functions including hydration tracking, activity monitoring, and baseline calibration into a single platform. The same sensors used for detecting drinking events also track overall physical activity, allowing the device to serve multiple health monitoring purposes without proportionally increasing complexity.
Solution Approach 2:
The system performs baseline calibration during an initial period to establish individual consumption patterns before full automated tracking begins. This preliminary action creates a reference framework that simplifies subsequent detection algorithms, as the system only needs to compare current behavior against the established baseline rather than implementing complex real-time analysis from scratch.
3Measurement precision
If baseline calibration is performed to determine individualized consumption rates, then measurement accuracy improves, but time required for setup increases
Solution Approach 1:
The baseline calibration is implemented as a time-limited periodic process that occurs during an initial setup phase, after which the system transitions to automated monitoring. The calibration period is designed to be sufficiently short to minimize user time investment while collecting enough data points to establish accurate individualized consumption patterns.
Solution Approach 2:
The system collects more calibration data than the minimum theoretically required, using an extended baseline period that captures variations in drinking behavior across different contexts. This excessive action approach ensures robust baseline establishment that accounts for real-world variability, improving long-term accuracy despite requiring slightly more initial time investment.
Data Source
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AI summary
Various embodiments include methods and electronic devices for tracking hydration of a user. Embodiments may include determining an amount of liquid consumed by the user based on a predetermined baseline consumption rate for the user and a number of sips or swallows detected by a sensor, and reporting an indication of a determined hydration level of the user based on the determined amount of liquid consumed. Some embodiments include determining the user's predetermined baseline consumption rate based on previously counted sips or swallows, either detected by the sensor or input by the user, while the user consumed a known amount of liquid. Some embodiments include selecting the predetermined baseline consumption rate for the user based on the determined type of liquid being consumed. Some embodiments include determining the hydration level of the user further based on a context in the user is drinking and/or the type of liquid being consumed.