Adaptive Workout Data Capture Across Multiple Wearable Devices
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Solution Overview
Problem
Existing methods for obtaining workout data from wearable devices are limited in their ability to adapt to various user movements and situations, leading to inefficiencies in data acquisition and provision.
Innovation Solution
An electronic device that integrates a display, communication circuit, and processor to control multiple external devices, recognizing initial posture and switching between motion sensors to obtain workout data based on designated conditions, ensuring comprehensive data capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single wearable device is used to obtain workout data, then the device structure remains simple, but the ability to accurately recognize user movements and postures is limited
Solution Approach 1:
The system divides the workout data collection function across multiple electronic devices (first wearable device, second wearable device, and third electronic device). Each device captures specific movement parameters from different body locations, and the processor integrates these segmented data sources to achieve comprehensive and accurate workout recognition without requiring a single complex device
Solution Approach 2:
The processor is designed to universally handle motion sensor signals from multiple different wearable devices and external electronic devices. The system can adaptively select and process data from any connected device based on the exercise type and user posture, making the data collection system multi-functional and versatile across different workout scenarios
2Loss of information
If motion sensor signals from multiple devices are integrated, then workout data completeness improves, but data processing complexity increases
Solution Approach 1:
The processor continuously receives motion sensor signals from multiple devices and dynamically adjusts data collection based on real-time analysis. When the processor identifies that certain movement parameters are insufficient from the first wearable device, it automatically requests additional data from the second wearable device or external electronic device, creating a feedback loop that ensures complete movement capture without manual intervention
Solution Approach 2:
The system dynamically determines which devices to activate and what type of motion sensor data to collect based on the detected exercise type and user posture. The processor adapts the data collection strategy in real-time, requesting data from specific devices only when needed for the current workout context, thereby reducing unnecessary processing complexity while maintaining data completeness
Data Source
AI summary
An electronic device is provided. The electronic device includes a display, a communication circuit, and at least one processor configured to recognize a user's initial posture based on at least one of motion sensor signals of a first external electronic device and a second external electronic device received through the communication circuit, control the first external electronic device to receive a first motion sensor signal, obtain the user's workout data based on the first motion sensor signal when the initial posture satisfies a designated condition, control the second external electronic device to receive a second motion sensor signal when the user's movement is not recognized based on the first motion sensor signal and obtain the user's workout data based on the second motion sensor signal, and provide the workout data through at least one of the display or the first external electronic device.