Sensor-Embedded Garment Motion Tracking for Real-Time Solo Analysis
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Solution Overview
Problem
Existing bodily movement analysis technologies require multiple people for observation and analysis, lack real-time feedback, and rely on human subjectivity, leading to delayed and non-automatic data capture and analysis.
Innovation Solution
A system comprising a garment with embedded sensors and a mobile application that captures and analyzes bodily movements in real-time, using inertial measurement units and a mobile app for automatic data processing and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple people are involved in observing and analyzing bodily movements, then analysis accuracy may improve, but device complexity and operational difficulty increase
Solution Approach 1:
The system enables a single user to independently perform movement analysis by wearing the instrumented garment and viewing real-time feedback on their own device, eliminating the need for external observers or analysts while maintaining measurement accuracy through automated sensor data processing
Solution Approach 2:
The patent replaces the mechanical human observation and analysis system with an automated electronic system comprising sensors, wireless communication, and digital display, which objectively captures and analyzes movement data without human subjectivity
2Loss of time
If traditional observation and notetaking methods are used, then equipment requirements are minimal, but real-time feedback capability is lost
Solution Approach 1:
The system implements real-time feedback by continuously capturing sensor data, processing it through wireless communication, and displaying movement analysis results immediately on the user's device, enabling contemporaneous feedback without the delays inherent in manual observation and documentation methods
Solution Approach 2:
The patent replaces manual observation and notetaking with an automated electronic system that uses sensors to capture movement data, processes it through a microcontroller, and displays results in real-time, eliminating the time loss associated with manual methods
3Extent of automation
If manual observation and analysis methods are used, then equipment costs are low, but automation and objectivity are reduced
Solution Approach 1:
The patent replaces manual observation and analysis with an automated electronic system comprising inertial sensors, a microcontroller for data processing, wireless communication modules, and digital display interfaces, achieving high automation while managing complexity through integrated design
Solution Approach 2:
The system performs automatic movement capture and analysis without requiring external operators, with the garment-mounted sensors continuously monitoring and the mobile device automatically processing and displaying results, eliminating human subjectivity from the measurement process
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 single-person, real-time analysis and feedback on bodily movements, facilitating automatic data capture and reducing human subjectivity.
Implementation Method 1
a garment (10) augmented with a number of peripheral inertial measurement units (IMUs) to enable recording of body segment position
Data Source
AI summary
Systems and methods according to the present invention include a garment outfitted with a primary circuit board and peripheral sensors to collect data on limb movements and orientation and transmit them to a related mobile application. The application involves an orientation process comprising a photo of the user and a user interface-driven marker system. The application also involves a calibration system involving quaternion calculations. Once a user has completed orientation and calibration processes, the application can receive the data, calculate the sensors' positions, and display them on a 2-dimensional model in real-time.