Multi-Device Health Data Integration via Intermediary Server
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Solution Overview
Problem
Conventional user activity display technologies using a single device cannot provide a seamless user experience when multiple devices are used, as they fail to integrate and analyze health-related data effectively across different devices.
Innovation Solution
An electronic device with a housing, display, motion sensor, wireless communication circuit, and processor that generates a wireless communication channel with external devices, monitors movement, receives and calculates data, and displays meaningful active intervals through a user interface, integrating health-related data from multiple devices to provide a seamless user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If health-related data is collected from multiple devices, then the completeness and accuracy of activity information is improved, but the complexity of data integration and processing increases
Solution Approach 1:
A server is introduced as an intermediary component to collect, store, and process health-related data from multiple wearable devices. The server receives data from devices via wireless communication, stores it in a database, and processes the data to generate integrated activity information, thereby simplifying the complexity of multi-device data integration for the client devices
Solution Approach 2:
The system enables any wearable device with a motion sensor to participate in the health data collection network. The server provides universal functionality to handle data from diverse devices, and the client devices can both send data to and receive processed information from the server, creating a multi-functional ecosystem
2Ease of operation
If data from multiple devices is integrated, then the user experience becomes more seamless, but the difficulty of detecting and measuring data characteristics increases
Solution Approach 1:
The server acts as an intermediary that performs complex data processing and analysis, translating raw data from multiple devices into meaningful activity information. This intermediary processing layer handles the difficulty of detecting and measuring data characteristics, presenting simplified results to users through their devices
Solution Approach 2:
The system implements feedback loops where processed activity information is sent back to client devices and displayed to users. The system can also provide feedback based on analyzed data patterns, such as activity recommendations or health insights, making the data characteristics more accessible and easier to interpret for end users
Data Source
AI summary
An electronic device includes a housing, with a display exposed through a part of the housing. The housing includes a first motion sensor to detect movement of the housing, a wireless communication circuit, a processor, and a memory that stores instructions to be executed by a processor. The instructions include generating a wireless communication channel with an external electronic device including a second motion sensor; monitoring the movement of the housing to generate first data for a first time period; receiving second data for the first time period through the wireless communication channel; calculating, as a value for the first time period, a value, smaller than the sum of a first value based on the first data and a second value based on the second data; and displaying the calculated value through a user interface displayed on the display.