Arm Swing Form Detection Using Multi-Sensor Feedback
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Solution Overview
Problem
Users find it difficult to maintain proper arm swing form during exercises like running, as they cannot autonomously recognize their motion state and may unconsciously deviate due to fatigue, despite being aware of the correct form.
Innovation Solution
An exercise assistance device equipped with sensors such as acceleration, angular speed, and geomagnetic sensors that obtain motion data to determine the type of arm swing form, providing real-time feedback through a display, sound, and vibration to help users maintain the correct form.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users rely on autonomous recognition of motion state, then subjective awareness of form is maintained, but measurement precision and reliability of form assessment deteriorate due to inability to objectively detect motion
Solution Approach 1:
The patent replaces the mechanical system of human autonomous recognition with sensor-based detection systems (acceleration sensors, angular speed sensors, geomagnetic sensors) that objectively measure arm swing motion parameters, thereby improving measurement precision while managing device complexity through electronic substitution
Solution Approach 2:
The patent introduces sensors and processing units as intermediaries between the user's arm swing motion and the assessment system, allowing objective detection and analysis of motion data without requiring direct user awareness or manual measurement
2Reliability
If users maintain awareness of proper form, then initial technique quality is good, but form breakdown occurs over time due to fatigue without external feedback
Solution Approach 1:
The patent implements continuous feedback mechanisms where sensors monitor arm swing motion parameters in real-time during exercise, detect deviations from proper form caused by fatigue, and provide timely notifications to users to correct their technique, thereby maintaining form consistency over extended exercise periods
Solution Approach 2:
The patent establishes baseline proper form characteristics before exercise begins and uses these pre-defined standards to continuously compare against actual motion during exercise, enabling early detection of form breakdown before it becomes significant
3Measurement precision
If detailed motion data is collected to assess arm swing form, then measurement precision improves, but device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the motion detection task across multiple specialized sensors (acceleration sensors for linear motion, angular speed sensors for rotational motion, geomagnetic sensors for orientation), with each sensor handling specific aspects of arm swing detection, thereby improving measurement precision while distributing system complexity
Solution Approach 2:
The patent designs the sensor system and processing unit to perform multiple functions: detecting various motion parameters, comparing against multiple form standards, and providing different types of feedback, thereby achieving comprehensive form assessment with a unified system that manages complexity through multi-functionality
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
The device objectively assesses and provides feedback on the arm swing form, helping users maintain proper technique, even when fatigue sets in, thereby improving exercise efficiency and reducing the risk of injury.
Implementation Method 1
an acceleration sensor that detects acceleration in three-axis directions
Implementation Method 2
an angular speed sensor that detects angular speed in three-axis directions
Implementation Method 3
a geomagnetic sensor that detects geomagnetism in three-axis directions
Data Source
AI summary
An exercise assistance device includes a data obtainer that obtains motion data on a motion of an arm of a user that is taking exercise while swinging the arm, and at least one processor that obtains a type of arm swing form of the user, based on the motion data obtained by the data obtainer.