A Silent Information Recognition System Based on Facial Muscle Sound Signal

Abstract

The invention relates to a silent information recognition system based on facial muscle sound signals, comprising: a sensor for collecting facial movement signals; a signal conditioning circuit connected to the sensor to perform voltage stabilization and voltage scaling processing on the signals collected by the sensor; a single-chip microcomputer, Connect with the signal conditioning circuit, receive the signal processed by the signal conditioning circuit, and perform signal preprocessing, feature extraction processing and action classification processing on the signal in sequence, and output the classification result; Action classification results and display. Compared with the prior art, the present invention has the advantages of simple structure, good convenience, real-time and accurate transmission of silent signals, and the like.

Description

technical field [0001] The invention relates to a silent information recognition device, in particular to a silent information recognition system based on facial muscle sound signals. Background technique [0002] Scientists were interested in communicating in very noisy environments long before World War II, and the impetus for this enterprise was military requirements. The most famous research is how to realize voice communication between pilots and between pilots and command centers. At first, scientists used tiny throat microphones to communicate in noisy environments. Later, with the deepening of this field, scientists gradually focused on the study of biological signals. [0003] In the late 1990s, the National Aeronautics and Space Administration (NASA) in a program called "Prolonged Human Senses Initiative", Ames Research Center (Ames Research Center) used EMG (electromyography, electromyography) as a signal Sources for a systematic evaluation of the means of comm...

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Problems solved by technology

[0006] It can be seen that the current signal source of silent information transmission technology is generally EEG or EMG, and some achievements have been made, but the development of silent information transmission technology is still in the initial stage and cannot be widely used in practice.

Due to the complexity of EEG, current research on it is limited to the development of simple brain-computer interface devices, and there is still a long way to go before clinical use.

And the EMG is very weak (only uV level), the electromyographic information detected by the surface electrodes can not fully reflect the movement command of the human brain for a certain action, and the external electric field interference felt by the human body is relatively very strong (up to V level) , these factors will affect the accuracy of silent information transmission technology

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