Robotic Toothbrush Testing System Using Video-Captured Motion
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Solution Overview
Problem
Clinical trials for toothbrush effectiveness are expensive and time-consuming due to inconsistent brushing methods used by participants, necessitating a system that can efficiently and consistently test various brushing methods, including natural, unguided methods.
Innovation Solution
A system comprising a data capture subsystem with sensors to record brushing data during participant sessions and a robotic arm that simulates brushing on artificial teeth based on captured data, allowing for automated brushing sessions to evaluate toothbrush effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If clinical trials are used to test toothbrush effectiveness, then real-world brushing conditions are captured, but the testing process becomes expensive and time-consuming
Solution Approach 1:
The patent creates a robotic system that copies human brushing motions captured from video data. The robotic arm replicates the exact movements, forces, and patterns of natural brushing, allowing laboratory testing to accurately reflect real-world conditions without requiring actual human participants in expensive clinical trials
Solution Approach 2:
The system transforms qualitative brushing behaviors into quantitative parameters by using sensors to measure force, acceleration, velocity, and motion patterns. This parameterization allows consistent replication and measurement of brushing effectiveness under controlled conditions
2Reliability
If clinical trials are used to test toothbrush effectiveness, then real-world brushing conditions are captured, but the brushing methods become inconsistent
Solution Approach 1:
The robotic system captures video of human brushing and creates precise digital copies of these motions. By replicating the captured movements exactly through robotic control, the system maintains the natural variability of different brushing methods while ensuring consistent execution across multiple tests
Solution Approach 2:
The system uses sensors to continuously monitor the robotic arm's position, force, and motion during brushing. This feedback loop ensures that the robotic brushing accurately reproduces the intended motions and maintains consistent parameters throughout each testing session
3Stability of the object's composition
If automated robotic brushing is implemented, then testing consistency is improved, but device complexity increases
Solution Approach 1:
The system uses video recording and digital image processing to capture brushing motions, then creates simplified robotic trajectories from this data. This approach converts complex human movements into programmable robotic paths without requiring sophisticated real-time control algorithms
Solution Approach 2:
The patent introduces video recording and image processing as intermediary steps between human brushing and robotic execution. This intermediary layer simplifies the control problem by providing pre-processed motion data that the robotic system can follow directly, reducing the need for complex real-time sensing and control
4Measurement precision
If more sensors and data capture equipment are added, then brushing data accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The system uses video copying as the primary measurement tool, extracting brushing motion data from visual records. This approach provides sufficient measurement precision for evaluating toothbrush effectiveness without requiring multiple specialized sensors, as the video data can be processed to derive position, velocity, and acceleration information
Data Source
AI summary
In one embodiment, the invention can be a system for determining toothbrush effectiveness, the system comprising a data capture subsystem comprising at least one sensor and configured to generate brushing data during a participant brushing session directed entirely by the participant, and at least one processor configured to receive the brushing data from the data capture subsystem. A brushing simulation subsystem includes artificial teeth; and a robotic arm configured to: hold a toothbrush; and receive from the at least one processor instructions for a motion to be carried out by the robotic arm, the motion of the robotic arm causing the toothbrush to carry out an automated brushing session upon the artificial teeth, the motion of the robotic arm being based on the brushing data captured during the participant brushing session.