Power Toothbrush Stroke Classification for Uniform Treatment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Modern personal care devices, such as power toothbrushes, often fail to provide a uniform and high level of treatment due to variations in user operation, including pressure, frequency, and amplitude, which affect the efficiency of the treatment received.
Innovation Solution
A categorization system that analyzes stroke data of the vibratory component of personal care devices, utilizing statistical analysis and machine learning algorithms to determine a use category based on stroke, motor, and force data, providing personalized feedback to users and healthcare professionals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users operate personal care devices with varying pressure and technique, then user preference and comfort are improved, but treatment uniformity and effectiveness deteriorate
Solution Approach 1:
The system continuously monitors stroke data from the vibratory component and provides real-time feedback to users through a user interface. The feedback module compares actual stroke values against target ranges and guides users to adjust their brushing technique, thereby maintaining treatment uniformity while respecting user comfort preferences.
Solution Approach 2:
The system dynamically adjusts operational parameters based on monitored stroke data. By analyzing variations in stroke length, frequency, and amplitude, the system adapts treatment parameters to optimize both uniformity and user comfort, resolving the contradiction between user preference and treatment consistency.
2Productivity
If the actuator and vibratory component are driven with high intensity, then treatment effectiveness is improved, but device wear and stroke decline accelerate
Solution Approach 1:
The system monitors stroke data and identifies when users apply excessive force or intensity beyond what is necessary for effective treatment. By detecting these partial excessive actions, the system provides targeted feedback to reduce unnecessary stress on the actuator and vibratory component, extending device life while maintaining treatment effectiveness.
Solution Approach 2:
Real-time monitoring of stroke parameters provides feedback to users when they apply excessive force. This prevents accelerated wear of the actuator and vibratory component while ensuring that sufficient treatment intensity is maintained for effectiveness.
3Measurement precision
If detailed stroke data is collected and analyzed, then use categorisation accuracy is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system extracts only the most relevant stroke parameters (stroke length, frequency, amplitude) from the raw data stream for analysis. By focusing on these key metrics rather than processing all possible data points, the system achieves accurate use categorisation while minimising computational complexity and data processing requirements.
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 accurate classification of user habits, allowing for optimized device operation and improved treatment effectiveness by adjusting user habits and providing insights to healthcare professionals.
Implementation Method 1
an actuator configured to drive a vibratory component of the personal care device to vibrate during operation of the personal care device
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The disclosed technology pertains to a categorisation system for a personal care device, such as a power toothbrush, that includes a vibratory component driven by an actuator. The system comprises a data acquisition module that obtains stroke data of the vibratory component during operation, and a data analysis module that determines a use category of the device based on the stroke data.