KR20120109160A - Apparatus for measuring 3d display-induced visual discomfort, apparatus for extracting 3d visual discomfort-inducing components automatically, and method thereof - Google Patents

Abstract

PURPOSE: A visual fatigue feeling measuring apparatus of a three-dimensional image, an induced element extracting apparatus, and a method thereof are provided to measure visual feeling fatigue degree of an image. CONSTITUTION: An image providing unit(110) supplies a video image including a three-dimensional image to a user. A decoding unit(140) converts a detected analog signal into a digital signal. An EEg(Electroencephalogram) EOG(Electrooculogram) analysis unit(150) analyzes degree of change or difference of the signal through time-frequency conversion. A display unit(170) displays a visual fatigue of a user in time zone. [Reference numerals] (110) Image providing unit; (111) Three-dimensional glasses; (120) EOG electrode; (130) EEG electrode cap; (140) Decoding unit; (150) EEG/EOG analysis unit; (160) Time information DB; (170) Display unit; (AA) Front; (BB) Back

Description

Apparatus for measuring 3D display-induced visual discomfort, Apparatus for extracting 3D visual discomfort-inducing components automatically, and Method

The present invention relates to a device capable of measuring visual fatigue in a 3D image and an apparatus and method for automatically extracting image factors causing visual fatigue using the same, and more particularly, to compare before and after viewing a 3D image. Unlike the prior art, which measured visual fatigue offline by using a conventional method, the visual fatigue generated while watching each unit section of a 3D image is measured in real time and automatically causes a factor of visual fatigue on the 3D image screen in the corresponding section. An apparatus and method for extracting.

The 3D image recently commercialized and provided to the general user refers to an image more realistically expressed by providing spatial information by including depth information. 3D imaging technology uses the principle of Binocular Disparity Effect to show images of two eyes from different angles to include depth information and to make sense of space.

Currently, various methods of displaying 3D images have been developed, but it is not easy to show exactly the same as reality with 3D images, and the actual viewers feel a lot of visual fatigue. Since 3D images are becoming more and more common, it is necessary to quickly solve the problem of visual fatigue caused by these 3D images. Understanding the causes of visual fatigue caused by 3D images will be of great help in the development of visually more comfortable 3D images.

Conditional parameters of the 3D image that generate visual fatigue include binocular disparity, viewing time, focal length, sharpness, object size, and object speed, and the degree of visual fatigue felt by the viewer depending on the conditions of the variables. do. If the quantitative relationship between the variables constituting the 3D image and visual fatigue can be identified, it can play a key role in the development of a visually comfortable 3D image.

The first problem to be solved in the study for relieving the fatigue of the three-dimensional image is the development of an appropriate measurement method of the visual fatigue caused in viewing the three-dimensional image. Since visual fatigue is inconvenient for humans, it is obscure to measure itself quantitatively. To overcome this ambiguity, current objective visual fatigue measurement techniques all present visual fatigue by comparing the measured values before and after viewing 3D image. However, in actual research, it is necessary to express the visual fatigue felt in real time as a function of time rather than the overall fatigue.

The present invention proposes an apparatus for measuring visual fatigue of a 3D image, an apparatus for extracting visual fatigue factors, and a method thereof.

Particularly, in the present invention, the visual fatigue caused by the 3D image may not be measured in real time based on the subjective reporting of the viewer in the prior art. The present invention proposes an apparatus and a method which can measure in real time and automatically extract the 3D visual fatigue inducing factor through user's eye tracking analysis.

In order to achieve the above object, an embodiment of the apparatus for measuring visual fatigue of a 3D image is an apparatus for measuring visual fatigue of a user who views a 3D video image, and provides a user with a video image including a 3D image. An image providing unit; Three-dimensional glasses for converting the provided video image to be recognized by the user in three dimensions; A biosignal sensor detecting an analog biosignal generated from the user wearing the 3D glasses; A decoding unit converting the analog signal detected by the sensor into a digital signal; A biosignal analyzer configured to analyze the difference or change of the signal in unit time with respect to the converted digital signal in real time through time-frequency conversion; A time information database storing a time zone in which an image causing visual fatigue is located according to the analysis result; And a display unit for displaying the visual fatigue of the user who is watching the video image in the time zone, wherein the visual fatigue measurement apparatus of the 3D image comprises a visual fatigue measurement apparatus of the 3D image. do.

Meanwhile, in order to achieve the above object, an embodiment of a method for measuring visual fatigue of a 3D image includes providing a video image including a 3D image to a user wearing 3D glasses; Detecting an analog biosignal generated from the user; Converting the analog signal detected from the sensor into a digital signal; Analyzing the converted digital signal in real time through time-frequency conversion on the difference or change in the signal in unit time; Storing time information at which an image causing visual fatigue is located according to the analysis result; And displaying a visual fatigue feeling of the user who is watching the video image in real time.

Meanwhile, in order to achieve the above object, an embodiment of an apparatus for extracting a visual fatigue factor of a 3D image includes: an image providing unit providing a user with a video image including a 3D image; Three-dimensional glasses for converting the provided video image to be recognized by the user in three dimensions; A biosignal sensor detecting an analog biosignal generated from the user wearing the 3D glasses; A decoding unit converting the analog signal detected by the sensor into a digital signal; A biosignal analyzer configured to analyze the difference or change of the signal in unit time with respect to the converted digital signal in real time through time-frequency conversion; A time information database storing a time zone in which an image causing visual fatigue is located according to the analysis result; A camera unit tracking and capturing the eyes of a user who is watching the video image; A fatigue inducing factor extracting unit which extracts a spatial factor causing visual fatigue in a 3D image by analyzing the eyes of the user photographed by the camera unit; And a display unit for receiving and displaying a spatial factor causing visual fatigue from the extracting unit in a time zone stored in the time information database.

Meanwhile, in order to achieve the above object, an embodiment of a method for extracting a visual fatigue inducing factor of a 3D image includes providing a video image including a 3D image to a user wearing 3D glasses; Detecting an analog biosignal generated from the user; Converting the analog signal detected from the sensor into a digital signal; Analyzing the converted digital signal in real time through time-frequency conversion on the difference or change in the signal in unit time; Storing time information at which an image causing visual fatigue is located according to the analysis result; Tracking the gaze of a user who is watching the video image; Extracting a spatial factor causing visual fatigue in the screen of the 3D image by analyzing the tracked gaze of the user; And displaying a spatial factor that causes the extracted visual fatigue based on the time information.

Furthermore, the present invention provides a recording medium in which a program for executing the method for measuring visual fatigue of a three-dimensional image and the method for extracting the factors causing visual fatigue of a three-dimensional image is recorded.

According to an apparatus and method for measuring visual fatigue of a user viewing a 3D image, visual fatigue during video viewing is different from the conventional technology of measuring visual fatigue through subjective reporting or inspection of a subject before and after viewing a 3D image. The degree of change and the incidence of visual fatigue in each unit section of the image can be measured.

In addition, by analyzing the gaze movement pattern, the image factor causing visual fatigue can be automatically extracted from the 3D image of the unit section, so that the cumulative change of visual fatigue occurring during viewing of the 3D image can be monitored in real time. In addition, it is possible to provide producers with information for readjustment to reduce visual fatigue by extracting sections and image factors that cause visual fatigue from each 3D image.

FIG. 1 is a functional block diagram illustrating a process of attaching EEG and EOG electrodes to a user viewing a video image and measuring visual fatigue of a 3D image.
FIG. 2 is a diagram illustrating a process of dividing a 3D image into unit time T1 by a double-stimulus-continuous-quality-scale method (DSCCS), converting the same image into a 2D image, and alternately playing the same image. .
3 is a flowchart illustrating a method of measuring visual fatigue of a user watching a 3D video image.
4 includes a camera unit tracking a user's gaze to extract a factor causing visual fatigue of a 3D image and a fatigue factor extracting unit extracting a spatial factor causing visual fatigue in a screen of a 3D image. Figure is a functional block diagram illustrating an extraction device.
FIG. 5 is a flowchart illustrating a method of extracting a factor causing visual fatigue of a user watching a 3D video image.

Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. In adding reference numerals to the components of each drawing, it should be noted that the same reference numerals are assigned to the same components as much as possible even though they are shown in different drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

In addition, in describing the component of this invention, terms, such as 1st, 2nd, A, B, (a), (b), can be used. These terms are intended to distinguish the constituent elements from other constituent elements, and the terms do not limit the nature, order or order of the constituent elements. When a component is described as being "connected", "coupled", or "connected" to another component, the component may be directly connected to or connected to the other component, It should be understood that an element may be "connected," "coupled," or "connected."

FIG. 1 is a functional block diagram illustrating a process of attaching EEG and EOG electrodes to a user viewing a video image and measuring visual fatigue of a 3D image.

In one embodiment of the present invention, while watching a three-dimensional image through the EEG sensor attached to the head of the user (testee) detects the EEG signal generated in the human brain in analog form.

On the other hand, as will be described later it is possible to detect the motion information of the user's eyes obtained through the EOG sensor and the eye tracking device together, through which the detection of the bio-signal causing the fatigue by watching the 3D image and causing 3 It is possible to automatically detect image elements in the dimension screen.

An embodiment of the present invention provides an apparatus for measuring visual fatigue using a biosignal measured by an EEG sensor or an EOG sensor from a user.

In FIG. 1, the apparatus for measuring visual fatigue is an image providing unit 110 that provides a video image including a 3D image to a user, and a 3D glasses 111 for converting the provided video image so that the user can recognize it in 3D. ), A biosignal sensor (EOG electrode 130 and EEG electrode cap 120) for detecting an analog biosignal generated from the user wearing 3D glasses, and a decoding unit for converting the analog signal detected from the sensor into a digital signal. 140, a biosignal analysis unit (EEG / EOG analysis unit, 150) for analyzing the difference or change in the digital signal in unit time in real time through time-frequency conversion, which causes visual fatigue according to the analysis result Display the time information database 160 storing the time zone where the image is located and visual fatigue of the user who is watching the video image in the time zone. Appears to include a display unit 170 to.

That is, as illustrated in FIG. 1, a biosignal sensor measuring a biosignal generated from a user who is watching a 3D image may include a plurality of heads attached to the head of the user to detect, in analog form, an EEG signal generated from the brain of the user who is watching. EEG electrode cap with two unit EEG sensor may be included.

Meanwhile, the biosignal sensor may include an EOG electrode having eye blink and information of eye movement in the vertical and horizontal directions, which are information on the eyes of a user who views a 3D video image. .

Referring back to FIG. 1, an embodiment of the present invention may measure visual fatigue using a biosignal measured by an EEG sensor or an EOG sensor from a user.

The image provider 110 provides a video image including a 3D image, wherein the image provider divides the 3D image into a unit time T1 by a double-stimulus-continuous-quality-scale method (DSCCS). The same image may be converted into a 2D image and then alternately provided to the user. This will be described later with reference to FIG. 2.

The three-dimensional glasses 111 allows the user to feel the depth of the three-dimensional stereoscopic image through the image providing unit 110, wherein the passive FPR polarized glass (Film Patterned Retarder) method and the active shutter glass ( SG: Shuttered Glasses

The decoding unit 140 converts the analogue EEG and EOG signals into digital signals, thereby providing basic data for analyzing how the brain waves of the user are different from the brain waves when viewing the 2D converted image. Done.

The biosignal analyzer 150 (EEG / EOG analyzer 150) is configured to find the time zone of visual fatigue felt by the user in viewing each of the three-dimensional and two-dimensional images divided into unit time with respect to the converted digital signal. Each signal is compared with each other for a predetermined time window from the starting point of the two-dimensional and two-dimensional images.

In this case, by using the time-frequency conversion, it is possible to analyze the statistical difference of the signal appearing when viewing the 3D image and the 2D image, or to analyze the degree of change in the eye movement of the user, which can be used to determine whether the visual fatigue occurs. .

The time information database 160 records a time zone in which an image causing visual fatigue is located according to a result analyzed by the biosignal analyzer (EEG / EOG analyzer) 150.

The display unit 170 displays the visual fatigue occurring in a time zone in which the image causing visual fatigue is located in real time.

FIG. 2 is a diagram illustrating a process of dividing a 3D image into unit time T1 by a double-stimulus-continuous-quality-scale method (DSCCS), converting the same image into a 2D image, and alternately playing the same image. .

That is, according to an embodiment of the present invention, the image providing unit alternately presents two-dimensionally converted images for each unit section, such as a three-dimensional image divided into T1 sections, which are unit times.

The 2D transformed image may be provided by making the depth of the 3D image zero (0) through a process of presenting the image given to one eye in the 3D image in the same way.

Meanwhile, an idle period of about T3 may be inserted between the unit image sections of T1. During the idle period, a blank screen may be provided to restore visual fatigue of a user who is watching a 3D image and to adjust to different image conditions.

3 is a flowchart illustrating a method of measuring visual fatigue of a user watching a 3D video image.

Referring to FIG. 3, an embodiment of a method of measuring visual fatigue is provided by providing a video image including a 3D image to a user wearing 3D glasses 310 to detect an analog biosignal generated from the user. Step 320, converting the analog signal detected from the sensor into a digital signal 330, analyzing the difference or the degree of change of the signal in unit time with respect to the converted digital signal in real time through time-frequency conversion Step 340, storing time information on the location of the image causing the visual fatigue according to the analysis result 350, and displaying the visual fatigue of the user who is watching the 3D video image in real time 360. do.

 In operation 310, a video image including 3D and 2D images is provided, wherein the provided video image is obtained by dividing the 3D original image into unit time (T1) by a double-stimulus-continuous-quality-scale method. A three-dimensional video image which alternately reproduces a dimensional image and a two-dimensional converted image obtained by converting the same image into two dimensions.

In operation 320, a bio-analog signal generated during viewing is detected. In the apparatus for measuring visual fatigue according to the present invention, a biosignal sensor measuring a biosignal may include an EEG electrode having a plurality of unit EEG sensors attached to a user's head to detect, in analog form, an EEG signal generated in a brain of a user who is watching. It has been described above that the cap 120 may be included. The unit EEG sensor provided in the electrode cap 120 detects the EEG generated from the brain of the user in an analog form. Therefore, if the number of unit EEG sensors is N, there are N EEG signal channels detected from one user (test subject).

Meanwhile, the apparatus for measuring visual fatigue according to the present invention may include an EOG electrode 130 for measuring eye blink and vertical and horizontal eye movements of a subject through two unit EOG sensors, respectively. One sensor may be attached above and below the subject's eye, and the other may be attached to the left and right sides of the subject's eye. EOG sensors attached to the top and bottom of the eye can detect vertical EOG signals corresponding to eye blink and vertical movement of the subject, and EOG sensors attached to the left and right of the eye correspond to the horizontal movement of the subject. The horizontal EOG signal can be detected in analog form.

In step 330, the EEG and EOG signals in analog form are converted into digital signals so that the user's EEG during viewing the 3D image is different from the EEG when viewing the 2D converted image, and the basis for analyzing when the visual fatigue is felt. Can provide data

In operation 340, it is possible to determine whether visual fatigue occurs by analyzing statistical differences of signals that appear when viewing 3D and 2D images in unit time or by analyzing the degree of change in eye movement of the user.

This analysis step is performed from a starting point of the 3D and 2D images in order to find a time zone of visual fatigue felt by the user in viewing each of the 3D and 2D images divided into unit time for the converted digital signal. Each signal can be compared with each other during a time window. The method for measuring visual fatigue according to the present invention is a time-frequency for a time window of a predetermined T2 time based on a converted digital signal. Perform analysis in real time.

While looking at each image divided by the double-stimulus-continuous-quality-scale method provided by the image providing unit 110, T2 from the starting point of the same three-dimensional and two-dimensional images in order to find out the part where the user feels visual fatigue. You can make a comparison.

Here, the brain wave obtained from the unit EEG sensor in the corresponding time-window of the three-dimensional image is called x (t), and the brain wave obtained from the unit EEG sensor in the corresponding time window of the two-dimensional converted image is y (t). In this case, power signals X (f) and Y (f), which are the power spectrum, can be obtained through Fourier transform.

Then, for each of the N EEG sensors, the power distributions obtained from the corresponding time window can be compared to find time-frequency information showing statistical differences.

In addition, the EEG / EOG analysis unit 150 performing the analysis step receives the vertical EOG signal and the horizontal EOG signal converted into a digital signal through the decoding unit 140, and during the unit time from the measured signal We can estimate the frequency and intensity of the user's blink and vertical and horizontal movements.

On the other hand, the individual eye subjects can calculate the threshold of eye movements by EOG from the vertical and horizontal EOG signals measured in a stable state with eyes closed beforehand, and the EEG / EOG analyzer 150 digitizes the vertical In addition, the rate of change per unit time of the horizontal EOG signal may be calculated and compared with the calculated threshold to analyze eye blink and eye movement in the vertical and horizontal directions.

The intensity of eye movements corresponds to the peak-to-peak voltage of the EOG signal. Through this, the analysis step analyzes the frequency and intensity of eye blink and eye movement in the vertical and horizontal directions in the unit image section of T1 minutes, and transmits the value of whether visual fatigue occurs to the time information database.

In operation 350, time information on a time-window in which an abnormal signal is statistically displayed in the biological signal, that is, a time zone in which an image causing visual fatigue is located, is stored according to the analysis result in the signal analysis step.

In operation 360, the visual fatigue generated in the time zone where the image causing visual fatigue is located is displayed in real time.

The present invention includes a recording medium in which a method for measuring visual fatigue of a user watching a 3D video image is recorded.

Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like, and may also be implemented in the form of a carrier wave. The computer readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner.

The present invention is a further development of the visual fatigue measurement apparatus of the three-dimensional image, to measure the visual fatigue of the subject watching the three-dimensional image as well as to automatically extract the image factors causing this in the screen of the three-dimensional image Provide the device.

FIG. 4 shows a camera 410 tracking a user's gaze to extract a factor causing visual fatigue of a 3D image, and a fatigue factor that extracts a spatial factor causing visual fatigue in a screen of a 3D image. A functional block diagram illustrating an extraction device including the extraction unit 420 is shown.

In another embodiment of the present invention, an apparatus for automatically extracting an image factor causing this in a screen of a 3D image includes: an image providing unit 110 providing a user with a video image including a 3D image; Three-dimensional glasses 111 for converting the user to recognize in three dimensions, a bio-signal sensor (EEG electrode cap 120 and EOG electrode 130) for detecting analog bio-signals generated from the user wearing the three-dimensional glasses ), A decoding unit 140 for converting the analog signal detected by the sensor into a digital signal, and analyzes the difference or change in the signal in unit time with respect to the converted digital signal in real time through time-frequency conversion When the bio-signal analysis unit (EEG / EEO analysis unit, 150), the time zone in which the image causing the visual fatigue is stored according to the analysis result An information database 160, a camera unit 410 which tracks and captures the eyes of the user who is watching the video image, analyzes the eyes of the user captured by the camera unit, and causes visual fatigue in the screen of the 3D image. A fatigue causing factor extracting unit 420 for extracting a spatial factor and a display unit 170 for receiving and displaying a spatial factor causing visual fatigue in the time zone stored in a time information database.

Referring to FIG. 4, the apparatus for extracting visual fatigue factor of a 3D image, which is another embodiment of the present invention, includes all the components of the apparatus for measuring visual fatigue of FIG. A description of the function and technical meaning of 170 will be omitted below.

The apparatus for extracting a visual fatigue factor of a 3D image includes a camera unit 410 that can track the eye of a test subject while viewing a 3D image provided from the image providing unit 110. The camera unit 410 tracks the subject's gaze in real time while viewing an image through the visual fatigue measurement apparatus.

The apparatus for extracting the visual fatigue feeling factor of the 3D image of the present invention includes a fatigue feeling factor extractor 420 which analyzes the eyes of the user measured by the camera unit 410 and predicts the fatigue feeling image factor.

The fatigue causing factor extractor 420 receives the gaze movement information and the corresponding time information of the user from the camera unit 410 and analyzes the gaze movement pattern, and the gaze movement pattern is based on the screen coordinates of the image providing unit 110. As the stored pattern information, the fatigue causing factor extractor 420 uses the region showing a sudden eye movement pattern or a short gaze retention time as a factor of visual fatigue during viewing a 3D image as compared to the 2D image. You can judge.

In addition, the gaze movement pattern of the 3D image may be cross-verified by the deviation between the coordinates of the two gaze movement patterns in contrast to the gaze movement pattern during viewing of the 2D image.

Meanwhile, the fatigue inducing factor extractor 420 receives time zone information indicating a statistical abnormality signal from a biosignal while viewing a 3D image from the time information database 160, and displays the user's gaze in the received time zone. The screen area inside may be determined as an image factor causing visual fatigue, and at this time, the display unit 170 displays visual fatigue generated in a time zone where an image causing visual fatigue is located in real time, and causes fatigue in which the subject's gaze is located. Imaging factors can be displayed together.

One of various applications that can be applied to the apparatus for extracting a visual fatigue factor of 3D image according to the present invention described above may be used as a support tool and an evaluation tool in converting and producing a 2D movie into a 3D movie.

The 3D film production support and evaluation tool according to the present invention applies a system to a plurality of unspecified non-specialists when measuring a 2D film into a 3D film using an automated toolkit, and induces fatigue by measuring visual fatigue accordingly. Allows you to extract images automatically.

Therefore, it can be applied to non-specialists in real time, so it is possible to suggest guidelines for extracting and modifying parts that are inconvenient to the public regardless of individual visual fatigue.

 FIG. 5 is a flowchart illustrating a method of extracting a factor causing visual fatigue of a user watching a 3D video image.

Referring to FIG. 5, the method of extracting a factor causing visual fatigue of a user watching a 3D video image may include providing a video image including a 3D image to a user wearing 3D glasses (510); Detecting an analog biosignal generated from a user (520), converting an analog signal detected from a sensor to a digital signal (530), and comparing the difference or the degree of change of the signal in unit time with respect to the converted digital signal Analyzing in real time through time-frequency conversion (540), storing the time information where the image causing visual fatigue is located according to the analysis result (550), tracking the eyes of the user watching the video image ( 560), by analyzing the tracked gaze of the user to extract the spatial factors causing visual fatigue in the screen of the 3D image, And a step 570 to display the space factor in real-time to induce a feeling.

The present invention includes a recording medium in which a method of extracting a factor causing visual fatigue of a user watching a 3D video image is recorded.

Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disks, optical data storage, and the like, and also in the form of carrier waves (for example, transmission over a network such as the Internet). It also includes implementations. The computer readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner.

In addition, functional programs, codes, and code segments for implementing the present invention can be easily inferred by programmers in the art to which the present invention belongs.

While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiments, it is to be understood that the invention is not limited to the disclosed embodiments. In other words, within the scope of the present invention, all of the components may be selectively operated in combination with one or more. In addition, although all of the components may be implemented as one independent hardware, some or all of the components may be selectively combined to perform a part or all of the functions in one or a plurality of hardware. As shown in FIG. Codes and code segments constituting the computer program may be easily inferred by those skilled in the art. Such a computer program may be stored in a computer readable storage medium and read and executed by a computer, thereby implementing embodiments of the present invention. As the storage medium of the computer program, a magnetic recording medium, an optical recording medium, a carrier wave medium, or the like may be included.

It is also to be understood that the terms such as " comprises, "" comprising," or "having ", as used herein, mean that a component can be implanted unless specifically stated to the contrary. But should be construed as including other elements. All terms, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. Commonly used terms, such as predefined terms, should be interpreted to be consistent with the contextual meanings of the related art, and are not to be construed as ideal or overly formal, unless expressly defined to the contrary.

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the present invention.

Claims (15)

An apparatus for measuring visual fatigue of a user watching a 3D video image,
An image providing unit providing a user with a video image including a 3D image;
Three-dimensional glasses for converting the provided video image to be recognized by the user in three dimensions;
A biosignal sensor detecting an analog biosignal generated from the user wearing the 3D glasses;
A decoding unit converting the analog signal detected by the sensor into a digital signal;
A biosignal analyzer configured to analyze the difference or change of the signal in unit time with respect to the converted digital signal in real time through time-frequency conversion;
A time information database storing a time zone in which an image causing visual fatigue is located according to the analysis result; And
And a display unit configured to display visual fatigue of a user who is watching a video image in the time zone.
The method of claim 1,
The biosignal sensor,
Visual fatigue of a 3D image comprising an EEG electrode cap equipped with a plurality of unit EEG sensors attached to the user's head to detect the EEG signals generated in the brain of the user watching the video image in an analog form Measuring device.
The method of claim 2,
The biosignal sensor,
Visual fatigue of a three-dimensional image, characterized in that it comprises an EOG electrode having at least two unit EOG sensor for detecting eye blink and eye movement in the vertical and horizontal directions for the eye of the user watching the video image Measuring device.
The method of claim 3, wherein
The image providing unit,
Visual fatigue measurement of a 3D image, characterized in that the three-dimensional image is divided into unit time by the DSCQS (double-stimulus-continuous-quality-scale method), and the same image is converted into a 2D image and alternately reproduced. Device.
The method of claim 4, wherein
The image providing unit,
3D image, characterized in that to provide a blank screen between the sections of the three-dimensional and two-dimensional image of the unit time for a predetermined rest period to recover the visual fatigue of the user watching and to adapt the user to different image conditions Visual fatigue measurement device.
The method of claim 5, wherein
The decoding unit,
By converting the analog EEG and EOG signals into digital signals, the user's brain waves while viewing the 3D image are provided with the basis data for analyzing the difference between the brain waves when viewing the 2D converted image. Visual fatigue measurement device of the three-dimensional image.
The method according to claim 6,
The bio signal analyzer,
Each signal for a predetermined time from the starting point of the three-dimensional and two-dimensional image in order to find the time zone of visual fatigue that is felt when viewing each of the three-dimensional and two-dimensional image divided into unit time for the converted digital signal Visual fatigue measurement apparatus of the three-dimensional image, characterized in that the comparison with each other.
The method of claim 7, wherein
The bio signal analyzer,
While searching the three-dimensional and two-dimensional image of the unit time is compared to Fourier transform (Fourier transformed) power distribution of the EEG signals obtained from the plurality of unit EEG sensor to search for time-frequency information showing a statistical difference Visual fatigue measurement device of a three-dimensional image.
The method of claim 8,
The bio signal analyzer,
Receiving a vertical EOG signal and a horizontal EOG signal from the EOG electrode to measure the frequency and intensity of eye blinks and eye movements in the vertical and horizontal directions during a unit time, and measure the frequency of eye movement in a stable state of the user. Visual fatigue measurement apparatus of a three-dimensional image, characterized in that the comparison with the threshold.
In the method for measuring the visual fatigue of a user watching a three-dimensional video image,
Providing a video image including a 3D image to a user wearing 3D glasses;
Detecting an analog biosignal generated from the user;
Converting the analog signal detected from the sensor into a digital signal;
Analyzing the converted digital signal in real time through time-frequency conversion on the difference or change in the signal in unit time;
Storing time information at which an image causing visual fatigue is located according to the analysis result; And
And displaying the visual fatigue of the user who is watching the video image in real time.
An apparatus for extracting a factor causing visual fatigue of a user watching a 3D video image,
An image providing unit providing a user with a video image including a 3D image;
Three-dimensional glasses for converting the provided video image to be recognized by the user in three dimensions;
A biosignal sensor detecting an analog biosignal generated from the user wearing the 3D glasses;
A decoding unit converting the analog signal detected by the sensor into a digital signal;
A biosignal analyzer configured to analyze the difference or change of the signal in unit time with respect to the converted digital signal in real time through time-frequency conversion;
A time information database storing a time zone in which an image causing visual fatigue is located according to the analysis result;
A camera unit tracking and capturing the eyes of a user who is watching the video image;
A fatigue inducing factor extracting unit which extracts a spatial factor causing visual fatigue in a 3D image by analyzing the eyes of the user photographed by the camera unit; And
And a display unit for receiving and displaying the spatial factors causing visual fatigue from the extracting unit in a time zone stored in the time information database.
The method of claim 11,
The fatigue inducing factor extraction unit,
Receiving gaze movement information and corresponding time information of the user from the camera unit to analyze the gaze movement pattern,
The gaze movement pattern is pattern information stored based on screen coordinates of the image providing unit, and the fatigue-inducing factor extracting unit maintains an area or a short gaze showing a sudden gaze movement pattern in a screen of a 3D image as compared to viewing a 2D image. The apparatus for extracting visual fatigue factor of 3D image, wherein the visual region is determined as a factor causing visual fatigue.
13. The method of claim 12,
The fatigue inducing factor extraction unit,
The apparatus for extracting visual fatigue factor of 3D image, wherein the eye movement pattern of the 3D image is compared with the eye movement pattern during viewing of the 2D image as a deviation between coordinates of the two eye movement patterns.
The method of claim 11,
The fatigue inducing factor extraction unit,
Receiving time zone information indicating a statistical abnormal signal from a bio-signal while viewing a 3D image from the time information database, and determining the screen area of the 3D image where the user's gaze is located as the visual fatigue-inducing image factor in the time zone. A device for extracting visual fatigue factor of a three-dimensional image.
In the method for extracting a factor causing visual fatigue of a user watching a 3D video image,
Providing a video image including a 3D image to a user wearing 3D glasses;
Detecting an analog biosignal generated from the user;
Converting the analog signal detected from the sensor into a digital signal;
Analyzing the converted digital signal in real time through time-frequency conversion on the difference or change in the signal in unit time;
Storing time information at which an image causing visual fatigue is located according to the analysis result;
Tracking the gaze of a user who is watching the video image;
Extracting a spatial factor causing visual fatigue in the screen of the 3D image by analyzing the tracked gaze of the user; And
And displaying the spatial factors causing the extracted visual fatigue based on the temporal information.

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