Swimming Headphone Motion Sensing for Stroke Analysis
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Solution Overview
Problem
Current headphones lack the ability to analyze swimming strokes and obtain various indexes of users during swimming, limiting their application scenario.
Innovation Solution
A control method for a headphone that includes enabling a swimming mode, obtaining detection data through a sensor module, determining swimming parameters, and identifying swimming strokes using a gyroscope and accelerometer to process three-axis angular velocity and acceleration signals, with complementary filtering and fusion processing to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If headphones are used for general purposes, then they provide basic audio functionality, but they cannot analyze swimming strokes or obtain swimming-related user indexes
Solution Approach 1:
The patent applies multi-functionality by enabling headphones to perform both their traditional audio function and a new swimming analysis function. The sensor module (gyroscope and accelerometer) is integrated into the headphone structure, allowing it to detect motion data during swimming activities. The processing module then analyzes this data to determine swimming strokes, breathing frequency, and other parameters, thus making the headphone a universal device that serves both audio and sports analysis purposes.
2Adaptability or versatility
If swimming mode is enabled with sensor module, then swimming stroke analysis is achieved, but device complexity increases
Solution Approach 1:
The existing headphone structure is extended to include swimming analysis capabilities by integrating a sensor module and processing module. The sensor module uses a gyroscope and accelerometer that are commonly found in modern electronic devices, and the processing module leverages existing data processing algorithms to analyze swimming motions. This approach adds swimming functionality without requiring a completely new device design.
Solution Approach 2:
The headphones perform self-calibration and self-analysis during swimming activities. The processing module automatically processes the raw sensor data to extract meaningful swimming parameters such as stroke type, breathing frequency, and swimming speed. This self-service capability reduces the need for external processing equipment or manual intervention, making the system more autonomous despite the added complexity.
3Measurement precision
If attitude calibration is implemented, then measurement accuracy is improved, but operation steps increase
Solution Approach 1:
The patent implements preliminary action by performing attitude calibration before the actual swimming analysis begins. The calibration process establishes a reference frame for the sensor data, ensuring that subsequent measurements of swimming strokes and body orientation are accurate. By completing this preparatory step in advance, the system ensures measurement precision without interfering with the actual swimming activity.
Solution Approach 2:
The attitude calibration process is automated and performed by the processing module without requiring manual intervention or user expertise. The system automatically processes the calibration data and configures the sensor parameters, making the complex calibration process transparent to the user. This self-service approach maintains ease of operation despite the underlying complexity of the calibration procedure.
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
Enables the headphone to analyze swimming strokes and measure various user indexes, providing swimming stroke evaluation and correction suggestions, thereby expanding its application to swimming-related activities.
Implementation Method 1
The sensor module includes a gyroscope. The detection data includes a three-axis angular velocity signal detected by the gyroscope.
Implementation Method 2
The sensor module further includes an accelerometer, and the detection data includes a three-axis acceleration signal detected by the accelerometer.
Implementation Method 3
performing complementary filtering and fusion processing on the three-axis acceleration signal and the three-axis angular velocity signal to obtain a resultant acceleration signal, a resultant angular velocity signal, and quaternion data
Data Source
AI summary
Provided is a control method for a headphone. The control method for a headphone includes: enabling a swimming mode of the headphone; obtaining detection data collected by a sensor module; obtaining a swimming parameter of a user wearing the headphone during swimming according to the detection data; and obtaining a swimming stroke of the user during swimming according to the detection data.