Wearable Motion Counting With User-Specific Exercise Thresholds
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Solution Overview
Problem
Existing wearable devices lack the ability to effectively track and provide personalized feedback on the number of designated motions performed during exercises, as they do not account for individual user differences in exercise performance, posture, and physical characteristics.
Innovation Solution
A wearable device equipped with sensors and processors that identify exercises based on designated motions, count the number of repetitions, and provide personalized feedback by setting threshold values tailored to individual users, displaying the results on a display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing wearable devices track physical activities using standard motion detection, then basic movement data can be collected, but the accuracy and personalization of exercise tracking is insufficient
Solution Approach 1:
The patent applies parameter changes by adjusting motion detection threshold values based on user-specific parameters such as body weight, height, and exercise type. The processor dynamically modifies detection parameters to match individual user characteristics, thereby improving measurement precision without requiring fundamental changes to the device architecture.
Solution Approach 2:
The system performs preliminary action by pre-storing multiple threshold values corresponding to different exercise types and user profiles in memory before actual exercise detection begins. This allows the processor to quickly select appropriate parameters during exercise without real-time calculation overhead, maintaining simplicity while achieving personalization.
2Adaptability or versatility
If wearable devices use fixed threshold values for motion counting, then the system remains simple, but it cannot adapt to individual user exercise performance and posture variations
Solution Approach 1:
The patent implements local quality by storing different threshold values for different exercise types (e.g., running, swimming, cycling) and user categories in memory. Each exercise type has its own optimized threshold parameters, allowing the system to adapt locally to specific exercise requirements while maintaining a unified detection framework.
Solution Approach 2:
The system applies dynamics by enabling the processor to dynamically switch between different stored threshold values based on the detected exercise type and user profile. This dynamic parameter selection allows the device to adapt to various exercise conditions without requiring complex real-time adjustments or multiple physical components.
3Loss of information
If the wearable device monitors detailed exercise metrics with multiple thresholds, then personalized feedback is improved, but the processing time and computational load increase
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing multiple threshold values for different exercise scenarios in memory before exercise detection begins. This allows the processor to quickly compare sensor data against pre-prepared thresholds during exercise, minimizing real-time computational load and processing time while maintaining comprehensive tracking capability.
Solution Approach 2:
The system uses segmentation by dividing exercise detection into distinct phases and thresholds - a first threshold for basic motion detection and a second threshold for confirmed exercise counting. This segmented approach allows the processor to handle different levels of detection complexity at appropriate times, reducing overall processing time while preserving information completeness.
Data Source
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AI summary
According to an embodiment, a method performed by a wearable device may comprise an operation of identifying that a user's exercise based on designated operations is started. The method may comprise an operation of acquiring second information of the designated operations. The method may comprise an operation of acquiring second information of an operation of the user's exercise as the designated operations are performed. The method may comprise an operation of acquiring a first value indicating the number of times the designated operations for the second information are performed, on the basis of a first threshold value related to the first information. The method may comprise an operation of acquiring a second value indicating the number of times the designated operations for the second information are performed, on the basis of a second threshold value related to the first information. The method may comprise an operation of displaying the first value and the second value on a display.