Toothbrush Coaching System Accelerometer Clustering

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Solution Overview

Problem

Existing toothbrush monitoring systems rely on wireless data connections for real-time feedback, which is not always available, and often lack accurate guidance on improving brushing techniques, leading to potential oral health issues due to bad habits.

Innovation Solution

A self-contained device attached to a toothbrush that uses an accelerometer to separate acceleration data into gravitational and linear components, projects them into n-dimensional space, performs clustering to determine brushing areas, and provides feedback without the need for an external connection, using low-cost processing to enhance accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a wireless data connection (Bluetooth or Wi-Fi) is provided for real-time feedback, then feedback can be provided in real time, but the system becomes dependent on external devices and data connections which may not be available

Engineering Contradiction:

Improvefeedback availabilityVSAvoidsystem dependency

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The toothbrush device performs data processing, clustering analysis, and feedback generation independently without requiring external devices. The microprocessor executes clustering algorithms locally to determine brushing areas and provides feedback through onboard indicators, making the system self-sufficient and reliable regardless of external connectivity

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The acceleration data is segmented into gravitational components and linear acceleration components through filtering. This segmentation allows the system to process different aspects of brushing motion separately, improving accuracy while maintaining computational efficiency on the onboard microprocessor

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If additional sensors are added to improve measurement accuracy, then brushing technique detection precision improves, but device cost increases significantly

Engineering Contradiction:

Improvebrushing technique detectionVSAvoiddevice cost

Core Design Contradiction:

Measurement precisionVSEase of manufacture

Solution Approach 1:

The system transforms 3D acceleration data into clustered representations of brushing areas, effectively adding a conceptual dimension that maps physical motion to semantic brushing zones. This dimensional transformation enables accurate brushing technique detection using only a single accelerometer, avoiding the need for multiple sensors

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The system changes the parameter representation from raw acceleration values to clustered brushing area identifiers. By transforming the data through filtering and clustering operations, the system extracts meaningful brushing technique information that would otherwise require additional sensors to detect

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If acceleration data is processed through filtering and clustering operations, then brushing area determination accuracy improves, but computational requirements increase

Engineering Contradiction:

Improvebrushing area determinationVSAvoidcomputational power

Core Design Contradiction:

Measurement precisionVSPower

Solution Approach 1:

The system performs preliminary filtering of acceleration data to separate gravitational and linear components before clustering. This preliminary processing simplifies the subsequent clustering operation and reduces the computational burden during real-time brushing monitoring, making the system feasible for onboard processing

Inventive Principle:

Principle #10Preliminary action

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 and real-time feedback on brushing technique without a data connection, improving oral health by helping users correct bad habits and maintain proper brushing practices.

Implementation Method 1

an accelerometer configured to produce acceleration data from motion of the toothbrush; means for filtering the acceleration data to produce gravitational components; means for filtering the acceleration data to produce linear acceleration components

Methodology Applied

Scientific EffectGravitation: Gravitation

Data Source

PatentUS11941997B2Toothbrush coaching system

Publication Date: 2024.03.26 PLAYBRUSH

AI summary

A device for providing an indication of brushing activity of a toothbrush comprises an accelerometer configured to produce acceleration data from motion of the toothbrush, and components for filtering the acceleration data to produce gravitational components and filtering the acceleration data to produce linear acceleration components. The device further comprises a component for projecting the gravitational components and the linear acceleration components into an n-dimensional space, where and for performing a clustering process on the projections of gravitational components and linear acceleration components into n-dimensional space to produce clustering results. The clustering results comprise a plurality of clusters each of which represents a brushing area. A brushing area can be determined based on an assignment of subsequent gravitational components and linear acceleration components of acceleration data to a particular cluster, and feedback provided to a user based on the determination of brushing area, thereby providing indication of brushing activity.