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Neural network-based tooth brushing detection method and device, electric toothbrush and medium

A detection method and neural network technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as recognition errors and inability to obtain accurate brushing information, and achieve good application scenarios and good recognition accuracy.

Pending Publication Date: 2021-06-01
有品国际科技(深圳)有限责任公司
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Problems solved by technology

[0005] The object of the present invention is to provide a toothbrushing detection method, device, electric toothbrush and storage medium based on a neural network, to solve the technical problem in the prior art that the electric toothbrush recognizes the actual oral region error and cannot obtain accurate toothbrushing information

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  • Neural network-based tooth brushing detection method and device, electric toothbrush and medium
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  • Neural network-based tooth brushing detection method and device, electric toothbrush and medium

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[0049] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, those skilled in the art can obtain all other embodiments, which all belong to the protection scope of the present invention.

[0050] First, the present invention provides a method for detecting teeth brushing based on a neural network, which can be applied to various intelligent electric toothbrushes. In order to illustrate the technical solution of the present invention, specific exam...

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Abstract

The invention provides a neural network-based tooth brushing detection method and device, an electric toothbrush and a medium, which are used for obtaining accurate tooth brushing information. The method comprises the following steps: collecting motion data and real-time posture data of the electric toothbrush in different areas of an oral cavity; inputting the motion data and the attitude data into a neural network for training to obtain a neural network model about tooth brushing actions and tooth brushing areas; and detecting a tooth brushing area and a tooth brushing action of the user through the neural network model.

Description

technical field [0001] The invention relates to the technical field of electric toothbrushes, and provides a neural network-based toothbrushing detection method, device, electric toothbrush and storage medium. Background technique [0002] As oral health issues are getting more and more attention, electric toothbrushes have gradually become the preferred way for more people to brush their teeth. At present, by recording the initial position and real-time position when brushing teeth, and based on the difference between the two and the prior knowledge of the oral cavity, the current brushing area of ​​​​the electric toothbrush is obtained. Due to the differences in individual oral conditions, there is no fixed oral data. Model, resulting in an error in the recognition of the brushing area by the electric toothbrush. [0003] Therefore, in the traditional solution, in order to solve the problem of errors in the identification of the brushing area, the obtained position data i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08A61C17/22
CPCG06N3/08A61C17/22G06N3/045
Inventor 蒙元鹏方睿
Owner 有品国际科技(深圳)有限责任公司