Wearable Electronic Device Using Filtered Acceleration for Exercise Analysis
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Solution Overview
Problem
Existing wearable devices struggle to accurately determine arm swing direction and ground contact foot due to variations in wearing position and arm movement, leading to inaccuracies in exercise form analysis.
Innovation Solution
An electronic device equipped with an acceleration sensor that splits acceleration data into vertical and horizontal components, applies low-pass filters to remove noise, calculates horizontal velocity, and integrates this data to determine arm swing direction and ground contact foot, using equations to filter out high-frequency noise and gravitational components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If acceleration data is processed to determine arm swing direction and ground contact foot, then exercise form analysis accuracy is improved, but measurement precision deteriorates due to variations in wearing position and arm movement
Solution Approach 1:
The patent transforms acceleration data by changing parameter representations - converting raw acceleration values into normalized components (vertical acceleration av, horizontal acceleration ah) through mathematical transformations. This parameter change allows the system to maintain measurement precision while adapting to different wearing positions and arm movement patterns, resolving the contradiction between accuracy and reliability.
Solution Approach 2:
The system continuously monitors acceleration data and uses feedback mechanisms to adjust the determination of arm swing direction and ground contact foot. By comparing current acceleration patterns with expected movement patterns and iterating the determination process, the system maintains high measurement precision despite variations in wearing position and arm movement, thereby improving reliability.
2Measurement precision
If low-pass filters are applied to remove high-frequency noise, then signal purity is improved, but response time deteriorates due to filtering delay
Solution Approach 1:
The patent applies low-pass filters to transform and clean the acceleration signal by removing high-frequency noise components. This parameter change improves signal purity while the filter design balances noise removal with minimal phase delay, achieving both high measurement precision and acceptable response time.
Solution Approach 2:
The system applies partial filtering - using low-pass filters that remove only the necessary high-frequency noise while preserving the essential signal characteristics. This partial action approach achieves sufficient signal purity without excessive filtering that would cause significant response time delays.
3Measurement precision
If acceleration data is integrated to calculate horizontal velocity, then movement detection accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent segments the acceleration data processing into distinct stages: separating vertical and horizontal acceleration components, applying low-pass filters to each component, integrating to calculate velocity, and determining arm swing direction. This segmentation simplifies the overall computational complexity while maintaining high movement detection accuracy through systematic processing of each component.
Solution Approach 2:
The system introduces intermediate calculations - calculating vertical acceleration av and horizontal acceleration ah as intermediate steps before integrating to obtain horizontal velocity. These intermediary computations break down the complex integration process into manageable steps, reducing overall computational complexity while preserving movement detection accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately determines arm swing direction and ground contact foot, enabling precise exercise form analysis and providing feedback for improvement.
Implementation Method 1
splits the acceleration detected by the acceleration sensor into a vertical direction and a horizontal direction
Data Source
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AI summary
An electronic device (100) is an electronic device (100) to be worn on an arm of a user, and includes a detector (160) that detects exercise information of the user, and a controller (110). The controller (110) determines, based on the exercise information detected by the detector (160), the form of the exercise of the user.