Intelligent input method and system based on bone conduction vibration and machine learning

Abstract

The present invention provides an intelligent input method and system based on bone conduction vibration and machine learning. The intelligent input method includes the following steps: step S1, collecting the vibration signal of the user tapping the back of the hand; step S2, filtering the collected vibration signal for noise reduction and endpoint segmentation processing; step S3, aligning the vibration signals after the endpoint segmentation; step S4, performing signal feature extraction on the aligned vibration signals; step S5, forming the extracted features into a training set and sending it to the neural network. The network classification model is trained to obtain a trained neural network classification model. The present invention regards the back of the hand as a virtual keyboard based on bone conduction vibration, combined with the neural network classification model of machine learning, so that the recognition rate of text input is high, sensitive and rapid, and the response speed is fast, which improves the text input of hand-worn devices. Efficiency improves user experience, and the interactive mode of the present invention is novel, interesting, convenient and fast, and widely used.

Description

technical field [0001] The present invention relates to an intelligent input method, in particular to an intelligent input method based on bone conduction vibration and machine learning, and to an intelligent input system using the intelligent input method based on bone conduction vibration and machine learning. Background technique [0002] At present, wearable smart sensing devices are developing rapidly, and hand-worn devices such as smart bracelets and smart watches are also quite popular. Users cannot type easily; and the main methods to solve this problem today include: traditional keyboard and speech recognition. Bringing a traditional keyboard will make it not light enough and bulky, and voice recognition is easily affected by the noise of the surrounding environment, and the speed is not fast enough. At the same time, due to the need to protect privacy and take into account the feelings of others, it is not easy to use voice input in public places, and now Although...

AI Technical Summary

Problems solved by technology

[0002] At present, wearable smart sensing devices are developing rapidly, and hand-worn devices such as smart bracelets and smart watches are also quite popular. users cannot easily type; the main solutions to this problem today include: traditional keyboards and voice recognition

Bringing a traditional keyboard will make it not light enough and bulky, and voice recognition is easily affected by the noise of the surrounding environment, and the speed is not fast enough. At the same time, due to the need to protect privacy and take into account the feelings of others, it is not easy to use voice input in public places, and now Although finger tracking and other technologies researched by many scientific research teams can also realize the typing function, but because the operation does not conform to the user's habits and has the defect of slow speed, it cannot solve the problem that the text input is not convenient enough.

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