User Profile Baseline Generation from Portable Device Data
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Solution Overview
Problem
Traditional portable devices and wearable technology provide limited and incomplete information for users to monitor and analyze their physiological and environmental data, hindering their ability to improve fitness routines, manage health conditions, or avoid environmental triggers.
Innovation Solution
A user monitoring system that includes a wearable device with sensors and a processing unit to collect and analyze physiological and environmental data, using correlations and predictive algorithms to provide users with meaningful insights and alerts for hydration, activity levels, and other health parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If portable devices collect and store more physiological and environmental data, then the comprehensiveness of user monitoring information is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a server as an intermediary component that receives, stores, and processes physiological and environmental data from portable devices. This external intermediary handles the complexity of data management, allowing the portable device itself to remain relatively simple while still achieving comprehensive monitoring through collaboration with the server infrastructure.
2Device complexity
If portable devices provide only basic measurement information, then the device complexity is reduced, but the usefulness and actionable value of the information for users deteriorates
Solution Approach 1:
The patent shifts the information processing and analysis functions from the portable device to an external server dimension. This dimensional transition allows basic measurements to be collected by simple devices while comprehensive analysis, pattern recognition, and actionable insights are generated in the cloud, providing users with meaningful information without requiring complex on-device processing.
3Loss of time
If portable devices perform real-time analysis of physiological data, then the responsiveness and timeliness of health insights is improved, but the energy consumption and processing load increase
Solution Approach 1:
The system performs preliminary data collection and basic processing on the portable device, then transmits data to the server for more intensive analysis. The server performs real-time or near-real-time analysis of the transmitted data, providing timely health insights without requiring the portable device to continuously perform energy-intensive processing operations.
Data Source
AI summary
Methods, systems, apparatuses, and/or devices for determining a baseline for an individual. The methods, systems, apparatuses, and/or devices may include a first memory device for computer storage. The methods, systems, apparatuses, and/or devices may include a processing device coupled to the first memory device, where the processing device is configured to: receive profile information for a user; generate a user profile based on the profile information; query a set of baseline profiles stored at the first memory device or a second memory device to identify a subset of baseline profiles; aggregate baseline profile information from the first baseline profile and baseline profile information from the second baseline profile to obtain an aggregated baseline profile; and set a baseline for a physiological parameter of the user from which to measure against for the physiological parameter, wherein the baseline is based on the physiological parameter of the aggregated baseline profile.