Brain-computer interface method based on high-frequency flicker emotional simulation

A computer interface and emotion technology, applied in the field of brain-computer interface, can solve problems such as false positive operation, and achieve the effect of reducing fatigue and improving information transmission rate

Active Publication Date: 2015-04-22
TIANJIN UNIV
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] One of the difficulties in improving the recognition rate of the SSVEP-BCI system is that the time-frequency characteristics of the background EEG activity of the brain may coincide with the time-frequency characteristics of the EEG induced by BCI flickering, resulting in false positive operations

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Brain-computer interface method based on high-frequency flicker emotional simulation
  • Brain-computer interface method based on high-frequency flicker emotional simulation
  • Brain-computer interface method based on high-frequency flicker emotional simulation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below.

[0023] The study found that phase resetting in the occipital cortex was followed by an increase in phase stability across the entire cerebral cortex. Therefore, a fast and stable SSVEP phase reset measurement is well suited for the SSVEP-BCI platform, and in this platform it is more effective to detect the onset of SSVEP than its intensity. In this method, a combination of phase-locked value variation (PLVV) and wavelet energy is used to avoid possible false positive operations. In terms of stimulation methods, this method combines emotional induction and high-frequency stimulation to make the system more comfortable and increase the information transmission rate of the system. Therefore, the performance of SSVEP-BCI can be improved by combining the two.

[0024] figure 1 A s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a brain-computer interface method based on high-frequency flicker emotional simulation. The method comprises the following steps of extracting phase features and energy features from preprocessed steady-state visual evoked potentials, conducting classification and recognition on the extracted phase features and energy features, finally outputting a control instruction, and controlling a mouse to move up and down and move left and right; measuring wavelet energy changes; measuring phase lock value changes; avoiding possible false positive operations through wavelet energy changes and phase lock value changes. According to the method, flickering emotional pictures are used for replacing a neutral checkerboard, and therefore the SSVEP response capable of being measured by the brain can be enhanced to a large extent; when a user uses the improved evoked simulation, the BCI reliability, speed and information transmission rate are greatly improved, and the fatigue degree of the user can be lowered according to behavioral analysis.

Description

technical field [0001] The invention relates to the field of brain-computer interface, in particular to a brain-computer interface method based on high-frequency flashing emotional stimulation. Background technique [0002] The definition of BCI given by the first Brain-Computer Interface (BCI) International Conference is: "BCI is a communication control system that does not depend on the normal output channels of peripheral nerves and muscles of the brain". The current research results are mainly through the collection and analysis of human EEG signals in different states, and then use certain engineering technology to establish a direct communication and control channel between the human brain and computers or other electronic equipment, so as to realize a kind of Brand new information exchange and control technology. [0003] When a normal person is stimulated by a flicker of a certain frequency (generally greater than 6Hz), there will be a response consistent with the s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01
CPCG06F3/015G06F2203/011
Inventor 綦宏志贾义红许敏鹏明东韩莹何峰张力新
Owner TIANJIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap