Decoding the visual attention of an individual from electroencephalographic signals

A technology of visual attention and EEG, applied in informatics, medical informatics, medical science, etc., can solve problems such as limiting the scope of application

Active Publication Date: 2020-08-07
CENT NAT DE LA RECHERCHE SCI +2
View PDF13 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Furthermore, the technique is limited to stimuli in the form of flashing lights, which greatly limits its applicability

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
  • Decoding the visual attention of an individual from electroencephalographic signals
  • Decoding the visual attention of an individual from electroencephalographic signals
  • Decoding the visual attention of an individual from electroencephalographic signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The description has been given with reference to functions, functional elements, entities, block diagrams and flowcharts that describe various embodiments of the methods, systems and programs. Each function, functional unit, entity and step of the flowcharts can be implemented by software, hardware, firmware, microcode or any suitable combination of these technologies. When software is used, the functions, functional units, entities or steps may be implemented by computer program instructions or software codes. These instructions may be stored or transmitted to a computer-readable storage medium and / or executed by a computer to implement these functions, functional units, entities or steps.

[0043] The various embodiments and aspects described below can be combined or simplified in various ways. In particular, steps of various methods may be repeated for each set of graphical objects of interest and / or each user of interest, steps may be reversed, performed in paralle...

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

A method for determining the focusing of the visual attention of an individual from electroencephalographic signals. At least one visual stimulus to be displayed is generated (411) from at least one graphic object, a visual stimulus being an animated graphic object obtained by applying, to a graphic object, a time sequence of elementary transformations temporally parameterised by a corresponding modulation signal. A modulation signal is reconstructed (414) from a plurality of electroencephalographic signals produced by the individual focusing his visual attention on one of the visual stimuli.A visual stimulus corresponding to the modulation signal is identified (415), for which the degree of statistical dependence with the reconstructed modulation signal is greater than a first threshold.

Description

technical field [0001] The present description relates to a method and system for determining an individual's focus of visual attention from EEG signals. Background technique [0002] The emergence of various portable systems dedicated to the recording and utilization of electroencephalographic signals (EEG signals) in a variety of applications can be observed. In particular, the miniaturization of systems for recording EEG signals and the substantial development of analytical techniques for real-time decoding of EEG signals means that new applications that are both fast and reliable can now be envisaged. [0003] Certain decoding techniques are based on the extraction of electrophysiological features from EEG signals, allowing the prediction of ongoing relationships between brain activity and visual stimuli in the environment. The difficulty here lies in identifying in real-time in the EEG signal specific features of visual stimuli that belong to the stimuli that the indiv...

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): A61B5/00A61B5/16A61B5/0476G16H50/20
CPCA61B5/7246A61B5/7267A61B5/742A61B5/168G16H50/20A61B5/369A61B5/378A61B5/7264A61B5/30
Inventor S·库德尔J-M·莱昂内蒂N·巴拉斯库R·泽拉法
Owner CENT NAT DE LA RECHERCHE SCI
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