Biometric Scale Integrating Multi-Sensor Health Data
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Solution Overview
Problem
Current biometric monitoring devices lack comprehensive integration of physiologic and environmental data, limiting their ability to provide holistic user insights and control over external devices and appliances.
Innovation Solution
A biometric monitoring device that incorporates multiple sensors for physiologic data (such as weight, body fat, heart rate, and environmental conditions) along with communication circuitry to transmit and receive data, enabling the correlation of user identification with physiologic and environmental data for personalized feedback and control of external devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple sensors for physiologic and environmental data are integrated into the biometric monitoring device, then the comprehensiveness of user health monitoring is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple sensors (weight sensor, body fat sensor, heart rate sensor, environmental sensors) and processing circuitry into a single integrated biometric monitoring device. This merging of previously separate monitoring functions into one device enables comprehensive health monitoring while managing complexity through unified design and centralized data processing.
Solution Approach 2:
The biometric monitoring device is designed as a multi-functional system that can monitor various physiologic parameters (weight, body fat, heart rate), detect environmental conditions, communicate with external devices, and provide personalized feedback. This universal design allows a single device to perform multiple monitoring and control functions simultaneously.
2Loss of information
If processing circuitry calculates multiple physiologic parameters using sensor data, then the depth of health insights is improved, but the computational requirements and device complexity increase
Solution Approach 1:
The processing circuitry continuously analyzes sensor data to calculate physiologic parameters and provides feedback to the user through the user interface. This feedback mechanism enables deep health insights by processing raw sensor data into meaningful metrics (body fat percentage, heart rate variability, BMI) and presenting them in actionable formats, while the system adapts its computational processing based on user needs and data availability.
3Adaptability or versatility
If communication circuitry enables data transmission and external device control, then the versatility of the monitoring system is improved, but the device complexity and energy consumption increase
Solution Approach 1:
The communication circuitry acts as an intermediary between the biometric monitoring device and external devices (smartphones, tablets, computers). It enables data transmission and control functionality through standardized communication protocols, allowing the monitoring device to integrate with existing electronic ecosystems without requiring complex custom integration for each external device type.
4Ease of operation
If the device provides personalized feedback and control of external devices, then the user engagement and health management effectiveness are improved, but the device complexity and programming requirements increase
Solution Approach 1:
The biometric monitoring device automatically generates personalized feedback and control commands based on the user's physiologic data and environmental conditions. The system self-adjusts its monitoring parameters, selects appropriate feedback messages, and identifies suitable external devices for control without requiring extensive manual programming or configuration from the user, thereby maintaining ease of operation while providing sophisticated personalized functionality.
Data Source
AI summary
A system comprising a biometric monitoring device including a housing including a platform to receive at least one foot of the user, a body weight sensor to generate body weight data, processing circuitry to calculate user weight data which corresponds to the user's weight, using the body weight data, and communication circuitry to: (a) receive user identification data which identifies the user or a portable activity monitoring device, and (b) transmit the user weight data to data storage associated with the user identification data. The system further includes the portable activity monitoring device including a housing having a physical size and shape that is adapted to couple to the user's body, a sensor to generate sensor data, and communication circuitry to receive physiologic data which is based on the user weight data, and processing circuitry to calculate activity data using the sensor data and physiologic data.