System and method for analyzing electroencephalogram in response to image stimulus of media facade

Patent metadata

Field	Value
Publication number	US-2016113545-A1
Application number	US-201514854834-A
Country	US
Kind code	A1
Filing date	Sep 15, 2015
Priority date	Oct 23, 2014
Publication date	Apr 28, 2016
Grant date	—

Abstract

Provided are a system and method for analyzing an electroencephalogram (EEG) response to an image stimulus of a media facade which examine, with quantitative data, how emotional reactions of people are affected by image stimuli of different media facades. The system measures EEGs of subjects with respect to stimuli of different media facades and analyzes reaction characteristics, such as activities of respective EEG bands, activities of EEG bands according to brain regions, regional correlations according to the EEG bands, and differences in activities of EEG bands between male and female groups of subjects.

First claim

What is claimed is:

1 . A system for analyzing an electroencephalogram (EEG) reaction to an image stimulus of a media facade, the system comprising:
an EEG sensing unit configured to measure EEG signal strengths emitted from a plurality of EEG electrode channels installed in a plurality of regions of a brain of a viewer who views an experimental image stimuli; a fast Fourier transform (FFT) unit configured to convert the EEG signal strengths from a time domain to a frequency domain; a control unit configured to extract wavelengths in a predetermined frequency band from the frequency domain of the EEG signal strengths and to extract a power amount for each frequency using a frequency-specific power spectrum; and an EEG band activity analysis unit configured to calculate a first EEG average in response to EEG activity ratios per an EEG band with respect to an average of a band-to-band power value based on the power amount for each frequency, to calculate a second EEG average of the EEG electrode channels in response to the EEG band according to the plurality of regions of the brain, and to comparatively analyze brain-region-specific activity ratios of the EEG band.

2 . The system of claim 1 , wherein the EEG band includes a plurality of EEG frequencies including a relative theta wave of 4 to 8 Hz, a relative alpha wave of 8 to 13 Hz, a relative beta wave of 13 to 30 Hz, and a relative gamma wave equal or greater than 30 Hz in ascending order of frequency, and
the EEG electrode channels includes a left prefrontal lobe, a right prefrontal lobe, a left frontal lobe, a right frontal lobe, a left parietal lobe, a right parietal lobe, a left occipital lobe, and a right occipital lobe.

3 . The system of claim 2 , wherein the experimental image stimuli are three-dimensional (3D) images projected onto an inner or outer wall of a building, and include a first image stimulus configured with a pattern change in color and shape and a second image stimulus configured to use a change in color and shape for delivering a story as a storytelling medium.

4 . The system of claim 3 , wherein the EEG band activity analysis unit is configured to determine brain-region-specific activities by calculating the second EEG average of the EEG electrode channels depending on the EEG band according to the first image stimulus or the second image stimulus, and to analyze image stimulus results of the first image stimulus or the second image stimulus exerted on the viewer by analyzing changes in and differences between the second EEG average of the EEG electrode channels resulting from the first image stimulus or the second image stimulus.

5 . The system of claim 3 , wherein the EEG band activity analysis unit is configured to analyze correlations between the second EEG average of the EEG electrode channels and to determine that the prefrontal lobes are brain regions having a correlation coefficient of 0.9 or more between EEG electrode channels with respect to the first image stimulus and the second image stimulus.

6 . The system of claim 3 , wherein the EEG band activity analysis unit is configured to analyze the second EEG average of the EEG electrode channels and determine that a correlation between left and right cerebral hemispheres is shown in a relative alpha wave band rather than relative theta, beta, and gamma wave bands among brain regions showing a correlation coefficient of 0.7 or more between the EEG electrode channels with respect to the first image stimulus and the second image stimulus.

7 . The system of claim 1 , wherein at least one of the first EEG average and the second EEG average is calculated by subtracting image stimulus EEG averages of the experimental image stimuli from a background EEG average indicating a base EEG average resulting from a white image stimulus.

8 . A method of analyzing an electroencephalogram (EEG) reaction to an image stimulus of a media facade, the method comprising:
measuring EEG signal strengths from a plurality of EEG electrode channels installed in a plurality of regions of a brain of a viewer who views an experimental image stimuli; converting the EEG signal strengths from a time domain to a frequency domain using a fast Fourier transform (FFT) method; extracting wavelengths in a predetermined frequency band from the frequency-domain of the EEG signal strengths, and extracting a power amount for each frequency using a frequency-specific power spectrums; calculating a first EEG average in response to EEG activity ratios per an EEG band with respect to an average of a band-to-band power value based on the power amount for each frequency; calculating a second EEG average of the EEG electrode channels in response to the EEG band according to the plurality of regions of the brain; and comparatively analyzing brain-region-specific activity ratios of the EEG band.

9 . The method of claim 8 , wherein the EEG band includes a plurality of EEG frequencies including a relative theta wave of 4 to 8 Hz, a relative alpha wave of 8 to 13 Hz, a relative beta wave of 13 to 30 Hz, and a relative gamma wave equal or greater than 30 Hz in ascending order of frequency, and
the EEG electrode channels includes a left prefrontal lobe, a right prefrontal lobe, a left frontal lobe, a right frontal lobe, a left parietal lobe, a right parietal lobe, a left occipital lobe, and a right occipital lobe.

10 . The method of claim 9 , wherein the experimental image stimuli are three-dimensional (3D) images projected onto an inner or outer wall of a building, and include a first image stimulus configured with a pattern change in color and shape and a second image stimulus configured to use a change in color and shape for delivering a story as a storytelling medium,
brain-region-specific activities are determined by calculating the second EEG average of the EEG electrode channels depending on the EEG band according to the first image stimulus or the second image stimulus, and image stimulus results of the first image stimulus or the second image stimulus exerted on the viewer by analyzing changes in and differences between the second EEG average of the EEG electrode channels resulting from the first image stimulus or the second image stimulus.

11 . The method of claim 10 , wherein the calculating of the first EEG average comprises generating the first image stimulus and the second image stimulus resulted from a highest EEG average of the left frontal lobe among the brain regions in a relative theta wave band, and resulted from a lowest EEG average of the left frontal lobe and a highest EEG average of the right occipital lobe among the brain regions in a relative gamma wave band, and
brain mapping image data visually showing which region of the brain has been activated is generated.

12 . The method of claim 10 , wherein the comparative analyzing of the brain-region-specific activity ratios comprises:
analyzing correlations between the second EEG average of the EEG electrode channels; and finding that the prefrontal lobes are brain regions having a correlation coefficient of 0.9 or more between EEG electrode channels with respect to the first image stimulus and the second image stimulus.

Assignees

• Foundation Soongsil Univ Industry Cooperation

Inventors

• Kim Juyeon
• Kim Jongha
• Kim Sanghee
• Lee Jeongho

Classifications

• A61B5/742

  using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339) · CPC title

• A61B5/04842 Primary

  Human Necessities · mapped topic

• A61B5/04012

  Human Necessities · mapped topic

• A61B5/7257

  using Fourier transforms · CPC title

• A61B5/378 Primary

  Visual stimuli · CPC title