Independent desire expression method based on auditory sense cognition neural signal

A technology of neural signals and expression methods, applied in the field of assistive devices for the disabled and human-computer interaction, can solve problems such as discomfort and visual fatigue of users, and achieve the effects of good applicability, increased speed, and less visual fatigue.

Active Publication Date: 2009-06-24
TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

The system uses evoked EEG nerve signals, which can express the user's voluntary will. However, it uses visua

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  • Independent desire expression method based on auditory sense cognition neural signal
  • Independent desire expression method based on auditory sense cognition neural signal
  • Independent desire expression method based on auditory sense cognition neural signal

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specific Embodiment

[0054] With this method, a voluntary expression system including five orientation options is realized, and the system is composed as follows: figure 1 .

[0055] The selected codebook library contains a total of 5 willingness options. The codebook indexes are: "Up", "Down", "Left", "Right", and "Center". The corresponding codebook content is: "Please go up Move", "Please move down", "Please move to the left", "Please move to the right" and "Please move to the middle". The five single-word speeches of "Up", "Down", "Left", "Right" and "Middle" were called from the speech library, arranged randomly to form the auditory stimulation sequence 2, and the length of each single-word speech was uniformly 250ms. Each sub-codebook index speech will be repeated five times at random, that is, this auditory stimulation sequence 2 contains 25 single-character speech in total. The interval between two adjacent single-word speeches is randomly distributed from 50ms to 250ms. The target inte...

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Abstract

A method based on auditory cognitive neural signals for autonomously expressing willingness relates to the fields of the assistance to the disabled, and the human-computer interaction. The method is characterized in that the method comprises the following steps: inputting the required willingness code book into a computer, wherein, a speech index is short Chinese and English, or digital speech, and an index content is the speech on completely expressing willingness; arranging an EEG detect electrode at a posterior position of the top of the head of a user; using a computer to repeatedly play a voice sequence consisting of codebook index speech in a random order; noticeably choosing the index speech corresponding with the target willingness should and conducting the identification of sound properties; using an EEG amplifier to record brain waves; aligning the brain waveforms in a segmenting manner according to the time starts of the index speech; detecting whether the late positive components (LPC) and the relevant characteristic waveforms exists or not; defining brain waves which has characteristic waveforms as a target index, tracking down the corresponding the index content through the willingness codebook; and playing the corresponding speech expressing willingness through an audible device.

Description

technical field [0001] The invention belongs to the field of auxiliary devices for disabled persons and human-computer interaction. The present invention extracts the user's auditory cognitive nerve signal and transforms it into voice output, which can effectively help the disabled to communicate with the outside world. In addition, it can also be used in the development of human-computer interaction electronic entertainment systems based on neural signals. Background technique [0002] In modern society, many diseases will lead to the degeneration of language and motor function of patients, until they lose the ability to express their will and communicate with the outside world, such as amyotrophic lateral sclerosis (also known as neuron ALS, stroke, Cerebral palsy seriously affects the quality of life of such patients. With the rapid development of neuroscience and computer technology, more and more research results have been applied to help such disabled patients rebuil...

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Application Information

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IPC IPC(8): G06F3/01G06F3/16A61B5/0476A61B5/04G10L15/08
Inventor 洪波高上凯高小榕郭婧
Owner TSINGHUA UNIV
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