Biometric Scale User Identification via Impedance and Weight
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Solution Overview
Problem
Existing biometric monitoring devices face challenges in accurately identifying multiple users sharing the same device, particularly when weight fluctuations overlap, making it difficult to determine which user's measurement corresponds to their profile without manual selection.
Innovation Solution
The implementation of a biometric monitoring device equipped with sensors such as body-weight sensors, bioelectrical impedance sensors, and processing circuitry that detects user presence, measures weight and bioelectrical impedance, and compares these data points to user profiles stored in memory to automatically identify and update the correct user profile.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple users share the same biometric monitoring device, then the device can serve multiple users, but it becomes difficult to accurately identify which user's measurement corresponds to their profile when weight fluctuations overlap
Solution Approach 1:
The patent segments the user identification process into multiple independent measurement components: weight measurement, bioelectrical impedance measurement, and foot pressure distribution measurement. Each sensor type provides a separate dimension of data that can be individually analyzed and combined to uniquely identify users, even when weight alone is insufficient for differentiation.
Solution Approach 2:
The patent transitions from one-dimensional weight-based identification to multi-dimensional identification by incorporating bioelectrical impedance and foot pressure distribution. This adds new measurement dimensions that provide additional discriminatory power for user identification, allowing accurate differentiation even when weight values overlap between users.
2Reliability
If the device requires manual user selection, then user identification can be confirmed, but the operation becomes more complex and time-consuming
Solution Approach 1:
The patent implements self-service automated user identification by having the device automatically measure multiple biometric parameters, compare them against stored user profiles, and identify the current user without manual intervention. The system independently performs the identification task that would otherwise require user input, thereby maintaining reliability while eliminating the need for manual selection.
Solution Approach 2:
The patent employs feedback mechanisms where the device continuously measures biometric parameters, compares the measurements with stored user profiles, and automatically selects the matching user. This closed-loop feedback process ensures accurate user identification while streamlining the operation, as the system self-corrects and confirms identity without requiring user action.
3Device complexity
If only weight measurement is used for user identification, then the device complexity is reduced, but the ability to accurately identify users with overlapping weight ranges deteriorates
Solution Approach 1:
The patent merges multiple sensor types (weight sensor, bioelectrical impedance sensor, and foot pressure distribution sensor) into a unified identification system. By combining the measurements from these different sensors, the system achieves superior user differentiation capability that exceeds what any single sensor could provide alone, while maintaining a cohesive and integrated device architecture.
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
This solution enables seamless and automatic user identification, reducing the need for manual selection and improving user interaction by utilizing additional user parameters beyond weight measurements, such as bioelectrical impedance and weight distribution patterns, to accurately associate measurements with the correct user profile.
Implementation Method 1
measuring, based on body-weight data generated by a first one of the sensors, a weight of the user
Implementation Method 2
measuring, based on sensor data generated by a second one of the sensors, a user parameter indicative of the user's identification
Data Source
AI summary
Techniques for user identification by a biometric monitoring device are disclosed. In one aspect, a method of operating a biometric monitoring device may involve measuring a weight of a user in response to detecting that the user is standing on a platform, determining, based on sensor data generated by a sensor, a user parameter indicative of the user's identification, identifying one of a plurality of user profiles as corresponding to the user based on a comparison of the user parameter to parameter values and a comparison of the measured weight of the user to weight values, and updating the identified user profile based on at least one of the measured weight and the user parameter.