Multi-Wearable Health Monitoring With AR Context Integration
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Solution Overview
Problem
Wearable devices that collect physiological data, such as motion and heart rate, provide limited insights into factors affecting overall health, as they do not account for environmental and dietary influences.
Innovation Solution
A wearable system comprising multiple devices, like a ring and smart glasses, to collect and integrate data from both physiological and environmental sources, providing a comprehensive view of health factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is collected from only one wearable device, then device complexity is reduced, but the completeness of health insights is insufficient
Solution Approach 1:
The system divides health monitoring into multiple independent wearable devices, each collecting specific types of data (physiological, environmental, dietary). This segmentation allows each device to remain simple while the integrated system provides comprehensive health insights, resolving the contradiction between information completeness and device complexity.
Solution Approach 2:
Multiple wearable devices are designed to work together in a universal health monitoring system. Each device performs its specialized function (e.g., heart rate monitoring, temperature sensing, environmental detection) while contributing to the overall multi-functional health assessment platform, enabling complete health insights without requiring each individual device to be overly complex.
2Loss of information
If multiple wearable devices are used to collect comprehensive data, then health insights are enhanced, but device complexity increases
Solution Approach 1:
A centralized processing system acts as an intermediary that receives, integrates, and analyzes data from multiple wearable devices. This mediator handles the complexity of data correlation and analysis, allowing individual wearable devices to remain relatively simple while the system as a whole provides comprehensive health insights through coordinated multi-device operation.
3Measurement precision
If physiological data is analyzed without environmental context, then analysis simplicity is maintained, but measurement precision of health factors is reduced
Solution Approach 1:
The system expands the set of monitored parameters by incorporating environmental factors (temperature, humidity, air quality) and dietary information alongside traditional physiological data. This parameter expansion enables more precise health factor analysis by considering multiple influencing variables simultaneously, with the processing system managing the increased data integration complexity.
Data Source
AI summary
Methods, systems, and devices for multiple wearable devices are described. A user may implement a system of multiple wearable devices, such as a wearable ring device and wearable smart glasses, to gain additional insights regarding their environment and overall health. The smart glasses may generate an augmented reality (AR) visualization that is overlaid via the lenses of the smart glasses when a wearable smart device (e.g., smart ring) is depicted within a field of view of the smart glasses. For example, a user may be able to glance at their smart ring, and their smart glasses may display (e.g., via the overlaid AR visualization) a “live” heart rate measurement collected by the smart ring. Additionally, data collected from the respective wearable devices may be used as inputs to one another, and may be used to provide additional context that may be leveraged to interpret data collected from the respective devices.