Intelligent tooth brushing process evaluation method

Abstract

The invention relates to an intelligent tooth brushing process evaluation method, which comprises the following steps that: 1) tracking a tooth brushing process of a standard Bass tooth brushing method, and collecting a denoising signal output by a GY-521 gyroscope in an electric toothbrush; 2) checking a data interval preprocessed and labeled in S1), and if the interval time of data is shorter than t seconds, according to the time interval of t seconds, solving a mean value in the period of time; 3) training an evaluation model based on a random forest; and 4) preprocessing the data of a person who brushes teeth according to a sensor data processing method in S1), and using a trained random forest model to classify the toothbrush state of the person who brushes teeth at different moments.The method has the beneficial effects that a machine learning method is adopted to classify the tooth state of the toothbrush in each time slice in a user tooth brushing process, the tooth brushing state of the user at different moments in the tooth brushing process can be predicted, and the tooth cleaning state and strength of the user at different moments can be accurately judged.

Description

technical field [0001] The invention relates to a method for evaluating the brushing process through the state of the toothbrush, which mainly uses the toothbrush movement state information obtained by the intelligent electric toothbrush to intelligently analyze and evaluate the toothbrush process of the user. Background technique [0002] Brushing teeth is to use a toothbrush to remove dental plaque, soft dirt and food residues and to keep the oral cavity clean. It is also the most important means for people to self-remove bacterial plaque and prevent periodontal disease from occurring, developing and recurring. If the method of brushing teeth is not appropriate, not only will the purpose of brushing teeth not be achieved, but it will cause oral problems. Evaluating the toothbrushing process is an important part to help users improve their toothbrushing methods and improve their toothbrushing effect. In the prior art, motion acquisition devices such as acceleration sensors...

AI Technical Summary

Problems solved by technology

However, this coarse-grained decision rule cannot achieve good results in the analysis and evaluation of the toothbrushing process, especially when brushers with different characteristics have different toothbrush motion states

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