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MYO-based text input system and method

A technology of text input and mapping relationship, applied in the field of intelligent human-computer interaction, can solve the problems of user's physical condition limitation and unnatural keyboard input method, so as to reduce interference, improve stability and comfort, and improve accuracy.

Active Publication Date: 2019-10-22
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the existing text input problems, the present invention proposes a design of a text input system based on the MYO wristband, which fundamentally solves the problems of the traditional keyboard input method being unnatural and restricted by the user's physical condition, making the Can be used by forearm amputee patients and normal people

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  • MYO-based text input system and method

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Embodiment Construction

[0034] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0035] By using the MYO wristband, a text input system with natural interaction, wider use and higher efficiency is designed and manufactured, including the use of the MYO wristband, the myoelectric sensor and the attitude sensor in the wristband, and the The design of the user interface and virtual keyboard and the sensor data processing method and machine learning algorithm in the system; the MYO wristband sends the information of myoelectric signal and posture to the server end through bluetooth; the server end will The obtained data is processed and relevant features are extracted, and then the category of the action is obtained through the random forest model; the user interface makes corresponding actions after receiving the action category signal from the server; the design and color matching of the user interface.

[0036] A text input system based on...

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Abstract

The invention relates to a text input system and method based on MYO. The MYO wrist strap is used, a text input system which is natural in interaction, wide in application range and higher in efficiency is designed and manufactured. The text input system comprises an MYO wrist strap, an electromyographic sensor and an attitude sensor which are arranged in the wrist strap, a user interface and a virtual keyboard which are arranged in the system, and a sensor data processing method and a machine learning algorithm which are arranged in the system. The MYO wrist strap sends the electromyographicsignals and the posture information to the server side through Bluetooth; the server side processes the obtained data and extracts related features, and then the category of the action is obtained through a random forest model; after the action category signal of the server is received, the user interface makes a corresponding action; and the design of the user interface is matched with the color.According to the invention, the collected electromyographic signals and the signals of the attitude sensor are fused and analyzed, so that the accuracy of gesture classification is improved.

Description

technical field [0001] The invention relates to the field of intelligent human-computer interaction, specifically an innovative text input method, which can meet the needs of normal people and forearm amputee patients to use computers. Background technique [0002] There are many problems in the traditional keyboard input mode. For example, the user must have healthy hands, and the hand must be placed on the keyboard to complete the input, which is a limitation for many usage scenarios, and the interaction is extremely unnatural. However, although the existing new text input methods, such as voice input, have a natural interactive mode, they are easily affected by accents and noisy environments, and their use is often limited. Therefore, we need to develop a text input system that interacts naturally and is not limited by the environment and the user's physical condition. In recent years, the principle and application of myoelectricity have attracted much attention in the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01
CPCG06F3/015G06F3/017
Inventor 赵新刚王丰焱徐壮赵明
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI