APPARATUS, METHOD, AND COMPUTER PROGRAM FOR ADJUSTMENT OF ELECTROENCEPHALOGRAMS DISTINCTION METHOD

• US 20090247895A1
• Filed: 11/14/2007
• Published: 10/01/2009
• Est. Priority Date: 11/15/2006
• Status: Abandoned Application

• Current Assignee: Panasonic Intellectual Property Management Co., Ltd. (Panasonic Holdings Corporation)
• Original Assignee: Panasonic Intellectual Property Management Co., Ltd. (Panasonic Holdings Corporation)
• Inventors: Morikawa, Koji, Adachi, Shinobu
• Application Number:
  US12/095,422
• Publication Number:
  US 20090247895A1
• Time in Patent Office: Days
• US Class Current: 600/544
• CPC Class Codes: A61B 5/378 Visual stimuli
• CPC Class Codes: A61B 5/38 Acoustic or auditory stimuli
• CPC Class Codes: G06F 3/015 Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection

Abstract

In a system having an interface utilizing electroencephalograms, a user'"'"'s burden of calibration for accurately measuring electroencephalograms is eliminated, and it becomes possible to maintain a high distinction accuracy of electroencephalograms.

An electroencephalogram interface (IF) system 1 includes an electroencephalogram IF section (13) for distinguishing a request of a user based on electroencephalograms, and identifies a function which is in accordance with the request. An electroencephalogram distinction method adjustment apparatus (2, 50) includes: an analysis section (14, 52) for detecting a change in a characteristic quantity of a stimulation given to the user, thus detecting a change in the stimulation; a storage section (15) for storing a waveform of an event-related potential during a period after a point in time when the change in the stimulation is detected; an extraction section (16) for extracting a characteristic quantity of the user based on the stored waveform; and an adjustment section (17) for, based on the extracted characteristic quantity, adjusting in the electroencephalogram IF section (13) a distinction method for a request based on an electroencephalogram signal.

Claims

1. An adjustment apparatus used for adjusting a distinction method in an electroencephalogram interface section in an electroencephalogram interface system, the electroencephalogram interface system including:

an output section for, based on data of a content, presenting the content to a user;

a biological signal measurement section for acquiring an electroencephalogram signal from the user; and

the electroencephalogram interface section for distinguishing a request of the user based on the electroencephalogram signal and identifying a function which is in accordance with the request,

wherein the apparatus comprises;

an analysis section for measuring and analyzing a physical quantity corresponding to a visual and/or auditory stimulation given to the user, the physical quantity being measured and analyzed as a characteristic quantity of the stimulation, and for detecting a change in the characteristic quantity of the stimulation that affects an event-related potential contained in the electroencephalogram signal, thus detecting a change in the stimulation;

a storage section for storing a waveform of the event-related potential during a predetermined period at least spanning after a starting point which is a point in time when the change in the stimulation is detected;

a user characteristic extraction section for extracting a characteristic quantity of the user based on the stored waveform of the event-related potential; and

a distinction method adjustment section for, based on the extracted characteristic quantity of the user, adjusting in the electroencephalogram interface section the distinction method for a request based on the electroencephalogram signal.

2. The adjustment apparatus of claim 1, wherein,

the stimulation is video and/or audio of the content presented to the user;

and

the analysis section analyzes the data of the content to detect a change in the characteristic quantity of the stimulation that affects the event-related potential contained in the electroencephalogram signal.

3. The adjustment apparatus of claim 2, wherein,

based on moving picture data, the output section displays respectively a plurality of pictures which are switched one after another at a predetermined frequency, thus presenting a moving picture content;

and

as a change in the characteristic quantity of the content, the analysis section detects a change in an image characteristic quantity of the consecutive plurality of images.

4. The adjustment apparatus of claim 3, wherein, as a change in the characteristic quantity of the content, the analysis section detects a change in at least one of luminance and hue.

5. The adjustment apparatus of claim 2, wherein,

the output section presents an audio content based on audio data;

and

as a change in the characteristic quantity of the content, the analysis section detects a change in an output level of the audio.

6. The adjustment apparatus of claim 2, wherein,

the output section presents a moving picture content by displaying respectively a plurality of pictures which are switched one after another at a predetermined frequency, and also presents an audio content;

and

as a change in the characteristic quantity of the content, the analysis section detects a synchronized occurrence of a change in an image characteristic quantity of the consecutive plurality of images and a change in an output level of the audio.

7. The adjustment apparatus of claim 2, wherein,

the electroencephalogram interface section distinguishes the request of the user based on a threshold retained in advance and an amplitude of the event-related potential in the electroencephalogram signal;

the user characteristic extraction section extracts an amplitude of the stored event-related potential as the characteristic quantity of the user; and

based on the extracted characteristic quantity of the user, the distinction method adjustment section adjusts the threshold retained by the electroencephalogram interface section.

8. The adjustment apparatus of claim 2, wherein,

the electroencephalogram interface section distinguishes the request of the user based on a correlation between at least one waveform template retained in advance and the waveform of the event-related potential in the electroencephalogram signal;

the user characteristic extraction section extracts the stored waveform of the event-related potential as the characteristic quantity of the user; and

based on the extracted characteristic quantity of the user, the distinction method adjustment section adjusts the at least one waveform template retained by the electroencephalogram interface section.

9. The adjustment apparatus of claim 8, wherein,

based on the extracted characteristic quantity of the user, the distinction method adjustment section changes a value of the at least one waveform template and sets the at least one waveform template to the electroencephalogram interface section;

and

the electroencephalogram interface section distinguishes the request of the user based on the at least one waveform template having been set.

10. The adjustment apparatus of claim 8, wherein,

the electroencephalogram interface section retains a plurality of waveform templates;

and

the distinction method adjustment section identifies one of the plurality of waveform templates based on the extracted characteristic quantity of the user, and instructs the electroencephalogram interface section to set the one waveform template as a template for distinguishing the request of the user.

11. The adjustment apparatus of claim 2, wherein,

the electroencephalogram interface section distinguishes the request of the user based on a correlation between a waveform template retained in advance and the waveform of the event-related potential in the electroencephalogram signal;

the user characteristic extraction section extracts the stored waveform of the event-related potential as the characteristic quantity of the user; and

the distinction method adjustment section instructs one of the electroencephalogram interface section and the biological signal measurement section to adjust an amplitude of the electroencephalogram signal of the user based on the extracted characteristic quantity of the user.

12. The adjustment apparatus of claim 2, wherein,

the user characteristic extraction section outputs a signal when an amplitude of the waveform the event-related potential stored in the storage section is smaller than a predetermined threshold;

and

based on the signal from the user characteristic extraction section, the distinction method adjustment section instructs the electroencephalogram interface section to output an alarm concerning acquisition of the electroencephalogram signal by the biological signal measurement section.

13. The adjustment apparatus of claim 1, wherein,

the stimulation is light and/or sound in an environment within which the user exists;

and

the analysis section detects light and/or sound in the environment, and detects a change in the characteristic quantity of light and/or sound in the environment that affects the event-related potential contained in the electroencephalogram signal.

14. A method used for adjusting a distinction method in an electroencephalogram interface section in an electroencephalogram interface system, the electroencephalogram interface system including:

an output section for, based on data of a content, presenting the content to a user;

a biological signal measurement section for acquiring an electroencephalogram signal from the user; and

the electroencephalogram interface section for distinguishing a request of the user based on the electroencephalogram signal and identifying a function which is in accordance with the request,

wherein the method comprises the steps of;

measuring a physical quantity corresponding to a visual and/or auditory stimulation given to the user, the physical quantity being measured as a characteristic quantity of the stimulation;

detecting a change in the characteristic quantity of the stimulation that affects an event-related potential contained in the electroencephalogram signal, thus detecting a change in the stimulation;

storing a waveform of the event-related potential during a predetermined period at least spanning after a starting point which is a point in time when the change in the stimulation is detected;

extracting a characteristic quantity of the user based on the stored waveform of the event-related potential; and

based on the extracted characteristic quantity of the user, adjusting in the electroencephalogram interface section the distinction method for a request based on the electroencephalogram signal.

15. A computer program to be executed by a computer implemented in an electroencephalogram distinction method adjustment apparatus used for adjusting a distinction method in an electroencephalogram interface section in an electroencephalogram interface system, the electroencephalogram interface system including:

an output section for, based on data of a content, presenting the content to a user;

a biological signal measurement section for acquiring an electroencephalogram signal from the user; and

the electroencephalogram interface section for distinguishing a request of the user based on the electroencephalogram signal and identifying a function which is in accordance with the request,

wherein the computer program causes the computer to execute the steps of;

measuring a physical quantity corresponding to a visual and/or auditory stimulation given to the user, the physical quantity being measured as a characteristic quantity of the stimulation;

detecting a change in the characteristic quantity of the stimulation that affects an event-related potential contained in the electroencephalogram signal, thus detecting a change in the stimulation;

storing a waveform of the event-related potential during a predetermined period at least spanning after a starting point which is a point in time when the change in the stimulation is detected;

extracting a characteristic quantity of the user based on the stored waveform of the event-related potential; and

based on the extracted characteristic quantity of the user, adjusting in the electroencephalogram interface section the distinction method for a request based on the electroencephalogram signal.