Wearable Health Parameter Calculation via Location Data
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Solution Overview
Problem
Wearable technology faces challenges in accurately calculating health parameters due to environmental and location-induced inaccuracies, requiring improved data coordination, computation, and integration of location-based information to enhance the accuracy of health calculations.
Innovation Solution
A computer-implemented method that utilizes location-based information to modify health parameters by classifying activities and incorporating environmental data, such as humidity, temperature, and terrain, to provide more accurate health calculations and personalized recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If health parameters are calculated using only sensor data from wearable devices, then the calculation process is simple and fast, but the accuracy is reduced due to environmental-induced inaccuracies
Solution Approach 1:
The patent introduces location-based information as an intermediary element that mediates between sensor data and health parameter calculation. By incorporating GPS coordinates, environmental data, and terrain information as intermediate steps, the system resolves the contradiction by enhancing accuracy without requiring fundamental changes to the core calculation architecture
Solution Approach 2:
The patent merges multiple data sources including sensor data from wearable devices, location data from GPS, environmental information from external databases, and terrain data into a unified health parameter calculation system. This combination approach improves measurement precision by integrating complementary information streams while managing complexity through systematic data fusion
2Measurement precision
If location-based information and environmental data are integrated into health parameter calculations, then the accuracy is improved, but the data coordination and computation complexity increases
Solution Approach 1:
The patent segments the complex data coordination task into distinct modules: sensor data acquisition, location data retrieval, environmental data fetching, and integrated calculation. By dividing the overall process into separable functional segments, the system manages data coordination complexity while maintaining improved accuracy through comprehensive data integration
3Measurement precision
If multiple data sources including location and environmental information are used, then health parameter accuracy is enhanced, but power consumption increases
Solution Approach 1:
The patent applies partial action by selectively retrieving location-based and environmental information only when needed for specific health parameter calculations, rather than continuously fetching all available data. This approach enhances accuracy for relevant parameters while reducing overall power consumption by avoiding unnecessary data retrieval and processing operations
Data Source
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AI summary
A wearable device may take a set of health inputs from embedded body sensors for the duration of an activity performed by a user of the wearable device. Based on these inputs, the wearable device can calculate a health parameter (e.g., calories burned during the activity). The wearable device can also track its location during the activity, and provide this location to a geolocation data network. The geolocation data network may provide geolocation data (e.g., weather / environmental / terrain data) pertaining to the wearable device's location. The wearable device can then modify its measurements and/or calculated health parameters based on the geolocation data (e.g. Increasing calories burned during a run due to high heat and uphill terrain in the location of the run).