KR20170082782A - A simplified method to calibrate eog signal for gaze tracking - Google Patents

A simplified method to calibrate eog signal for gaze tracking Download PDF

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KR20170082782A
KR20170082782A KR1020160001973A KR20160001973A KR20170082782A KR 20170082782 A KR20170082782 A KR 20170082782A KR 1020160001973 A KR1020160001973 A KR 1020160001973A KR 20160001973 A KR20160001973 A KR 20160001973A KR 20170082782 A KR20170082782 A KR 20170082782A
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장원두
임창환
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한양대학교 산학협력단
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Abstract

A simple signal correction method that enables stable eye tracking from an ocular conduction signal is disclosed. A method for correcting an ocular conduction signal includes: obtaining a measured ocular conduction signal from a user; Measuring an influence of an external signal flowing from the ocular conduction signal; And correcting the ocular conduction signal using the influence of the external signal.

Description

TECHNICAL FIELD [0001] The present invention relates to a simple signal correction method that enables stable eye tracking from an eye conduction signal,

The following description relates to a technique for tracking the position of a line of sight using an ocular conduction signal.

Eye gaze tracking is a method of determining where a user is gazing. Advantages of eye position tracking include similarity with existing mouse operation method protocol, quickness of pointing to a point of view, convenience of providing an input device role to a handicapped user, user's gaze direction in a virtual reality environment There may be a feeling of immersion provided by adjusting the view screen according to the view angle.

As an example of gaze tracking technology, Korean Patent Laid-Open Publication No. 10-2012-0127790 (published on November 26, 2012) entitled " gaze tracking system and method " To a user easily.

And provides a signal correction method that can more easily correct a signal when acquiring an ocular conduction signal.

A signal correction method capable of stably estimating a line of sight using the measured eye conduction signal when two points are viewed is provided.

A computer implemented eye conduction signal correction method comprising: obtaining a measured ocular conduction signal from a user; Measuring an influence of an external signal flowing from the ocular conduction signal; And correcting the ocular conduction signal using the influence of the external signal.

According to an aspect, the acquiring step may acquire an ocular conduction signal when the eye is moved horizontally.

According to another aspect, the acquiring step may acquire the ocular conduction signal from electrodes attached to the upper, lower, left, and right sides of the user's eye.

According to another aspect, the measuring step may estimate the degree of the external signal flowing through the eye conduction signal when moving the line of sight horizontally.

According to another aspect of the present invention, the measuring step may include measuring a standard deviation of an ocular conduction signal obtained from electrodes attached above and below the eye of the user using a standard deviation of a vertical component, Influence can be measured.

According to another aspect of the present invention, the correcting step may correct longitudinal components of the ocular conduction signal using the influence of the external signal.

According to another aspect, the measuring step may calculate an influence of the external signal through Equation (1).

Equation 1:

Figure pat00001

Figure pat00002

(here,

Figure pat00003
The influence of the external signal,
Figure pat00004
The vertical direction element of the ocular conduction signal,
Figure pat00005
U is the ocular conduction signal measured from the electrode attached on the eye, D is the ocular conduction signal measured from the electrode attached below the eye,
Figure pat00006
Means the transverse component of the ocular conduction signal.)

According to another aspect, the correcting step may correct the longitudinal component of the ocular conduction signal using Equation (2).

Equation 2:

Figure pat00007

(here,

Figure pat00008
U is the ocular conduction signal measured from the electrode attached on the eye, D is the ocular conduction signal measured from the electrode attached below the eye,
Figure pat00009
The influence of the external signal,
Figure pat00010
Means the transverse component of the ocular conduction signal.)

A computer-implemented method for correcting an ocular conduction signal, comprising: obtaining a measured ocular conduction signal when a user draws a line of sight; Estimating the degree of the external signal flowing through the eye conduction signal when the eye is horizontally moved; And correcting longitudinal elements of the acquired ocular conduction signal using the influence of the external signal.

A computer system comprising one or more processors, the one or more processors comprising: an acquiring unit acquiring an eye conduction signal measured from a user; A measurement unit measuring an influence of an external signal flowing from the eye conduction signal; And a measuring unit for correcting the ocular conduction signal using the influence of the external signal.

According to the embodiment of the present invention, the eye conduction signal can be more easily corrected using the measured eye conduction signal when looking at two points, thereby making it possible to utilize the ocular conduction signal more widely and to enhance the user convenience.

1 is a block diagram for explaining an example of the internal configuration of a computer system according to an embodiment of the present invention.
2 is a block diagram illustrating an example of components that a processor of a computer system according to an embodiment of the invention may include.
3 is a flowchart showing an ocular conduction signal correcting method according to an embodiment of the present invention.
Fig. 4 shows an example of an ocular conduction signal measured when a target pattern is drawn in an eye in an embodiment of the present invention.
5 shows an example of a model pattern used in an experiment in an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

These embodiments relate to a simple signal correction method that enables stable eye tracking from an ocular conduction signal.

The present invention proposes a method of correcting a signal more easily than the conventional method in acquiring an ocular conduction signal. In contrast to the conventional method requiring at least six times of signal measurement for signal correction, the present invention has an advantage that a stable ocular conduction signal can be obtained by only two signal measurements.

Eye tracking using the eye conduction signal is to estimate the eye position from the magnitude of the ocular conduction signal. Eye tracking technology can be easily applied to HCI (Human Computer Interface).

For example, eye tracking techniques using eye conduction may be applied as a communication aid to a ball input system for limb paralysis patients. Patients with ALS (Lou Gehrig's disease) suffer from limb paralysis and are difficult to express themselves. Patients with limb paralysis are helped by the caregiver to gaze at the letter plate and convey the desired word, or the letter by the guardian to read the letter when they are responding to the letter. This kind of communication is limited to the caregiver or the caregiver when the patient has something to say, which makes it inconvenient to the patient as well as the caregiver. There are mice and keyboards that use the existing eye-tracking tracking, but all of them are costly and costly to the patient and the patient's family using video-based eye tracking technology. A relatively low-cost eye-conduction-based eye-tracking eye-ball input system can be used as a new way of expressing physicians for these patients.

As another example, eye tracking techniques using eye conduction can be applied to new input systems for HCI applications. In recent years, there have been increasing techniques for applying various bio-body / body information such as brain waves, electrocardiograms and motion recognition to human-computer interaction (HCI) from which human actions or intentions are read. A new user experience (UX: User Experience) can be provided by applying the eye tracking system of the eye tracking technology proposed in the present invention to the HCI.

The eye tracking technique according to the present invention can be applied to eyeball input system using eye conduction signal for limb paralysis, eye conduction based eye line analysis, and application to HCI.

Ocular conduction  analysis

Eye conduction analysis is a biometric method that measures the electric field of the eye itself, which changes according to the motion of the eye, by attaching an electrode around the eye. You can get information about eye movements or flicker from two pairs of electrodes attached to the eye (one for horizontal and the other for vertical).

In the past, (1) EEG (EEG) measurement was used to measure the ocular conduction at the same time to remove noise and external signals from the eye, (2) control of the wheelchair using the motion of the pupil (front / back / left / ), And (3) behavior recognition. Recently, eye tracking technology using eye conduction has been developed.

Eye conduction  Eye tracking technology used

Eye tracking technique using eye conduction signal is a method of estimating eye position from the magnitude of eye conduction signal. It is possible to measure the vertical movement of the line of sight from the difference (vertical element) of the signal obtained from the electrode attached on the upper / lower side of the eye and to estimate the lateral movement of the line of sight from the difference (horizontal element) of the signal obtained from the electrode attached to the left / It is common. HCI implementations such as moving the cursor up / down / right / left using the moving direction and flicker of the eye using the conventional method, or researches for recognizing simple shapes drawn by the eyes have been reported.

Eye conduction Calibrate  Technology

A method using affine transformation may be used to correct ocular conduction.

Conventionally, the subject is allowed to view at least six to at most 24 different points on the monitor, and the measured ocular conduction signal can be corrected using the affine transformation. As such, it has been widely known and widely known that the ocular conduction signal can be corrected using affine transformation.

In order to correct the ocular conduction signal, the measured ocular conduction signal is required when the user looks at a minimum of 6 points to a maximum of 24 points. As the number of points to be looked at increases, preparation time for the use of the apparatus becomes longer, This is a weighted disadvantage.

In the present invention, a signal correction method capable of stably estimating a line of sight using only eye conduction signals measured when two points are viewed is presented.

Figures 1 and 2 illustrate a system according to embodiments, and Figures 3-5 illustrate various aspects of embodiments of ocular conduction signal correction methods.

1 is a block diagram for explaining an example of the internal configuration of a computer system according to an embodiment of the present invention. Figure 1 illustrates a computer system 100 on which the embodiments described with respect to Figures 3-5 may be implemented.

As shown in FIG. 1, computer system 100 includes a processor 110 that may include any computer or electronic processor for executing instructions and processing information including pixel information.

Processor 110 may include or be part of any device capable of processing any sequence of instructions. The processor 110 may comprise, for example, a processor and / or a digital processor within a computer processor, a mobile device, or other electronic device. The processor 110 may be, for example, a computer, a mobile computing device, a smart phone, a tablet, a set-top box, and the like. The processor 110 may be connected to the memory 120 via a bus 140.

The memory 120 may include volatile memory, permanent, virtual or other memory for storing information used by or output by the computer system 100. Memory 120 may include, for example, random access memory (RAM) and / or dynamic RAM (DRAM). The memory 120 may be used to store any information, such as the state information of the computer system 100. Memory 120 may also be used to store instructions of computer system 100, including, for example, instructions of a signal processing module for correcting an ocular conduction signal. Computer system 100 may include one or more processors 110 as needed or where appropriate.

The bus 140 may comprise a communication infrastructure that enables interaction between the various components of the computer system 100. The bus 140 may, for example, carry data between components of the computer system 100, for example, between the processor 110 and the memory 120. The bus 140 may comprise a wireless and / or wired communication medium between the components of the computer system 100 and may include parallel, serial, or other topology arrangements.

The persistent storage device 130 may be a component such as a memory or other persistent storage device as used by the computer system 100 to store data for a predetermined extended period of time (e.g., as compared to the memory 120) Lt; / RTI > The persistent storage device 130 may include non-volatile main memory as used by the processor 110 in the computer system 100. The persistent storage device 130 may include, for example, flash memory, hard disk, optical disk, or other computer readable medium.

The input / output interface 150 may include a keyboard, a mouse, voice command inputs, displays, or interfaces to other input or output devices. Configuration commands may be received via input / output interface 150, and / or an ocular conduction signal may be received via input / output interface 150 from electrodes attached to the user's eye.

The network interface 160 may include one or more interfaces to networks such as a local area network or the Internet. The network interface 160 may include interfaces for wired or wireless connections. The configuration instructions may be received via the network interface 160, or an ocular conduction signal for signal correction from the ocular conduction signal measurement device may be received via the network interface 160.

FIG. 2 is a diagram illustrating an example of components that a processor 110 of a computer system 100 according to an embodiment of the present invention may include; and FIG. 3 is a block diagram of a computer system 100 according to an embodiment of the present invention. 100) according to an embodiment of the present invention.

2, the processor 110 may include an acquisition unit 211, a measurement unit 212, and a correction unit 213. [ The components of such a processor 110 may control the computer system 100 to perform the steps S310 through S330 included in the ocular conduction signal correction method of Figure 3, May be implemented to execute the code of the at least one program and the operating system it contains.

The ocular conduction signal correction method may not occur in the order shown, and some of the steps may be omitted or an additional process may be further included.

In step S310, the obtaining unit 211 may obtain the user's ocular conduction signal from the electrodes attached to the top, bottom, left, and right of the user's eyes. In the present invention, two pairs of electrodes are attached around a user's eye to measure an ocular conduction signal. At this time, a vertical component of the ocular conduction signal can be obtained from the electrode attached to the upper / lower part of the eye, and a horizontal component of the ocular conduction signal can be obtained from the electrode attached to the left / right of the eye.

FIG. 4 illustrates an eye conduction signal measured when an angular U-shaped target pattern is drawn by an eye in an embodiment of the present invention. In Fig. 1, V denotes movement in the vertical direction, and H denotes movement in the horizontal direction.

Referring to FIG. 4, when a user moves his or her gaze horizontally, an external signal may be introduced into a vertical element of the ocular conduction signal. In this case, it can be found that the external signal originates from the lateral movement of the user's gaze have.

The acquiring unit 211 can acquire the measured ocular conduction signal when the user moves the line of sight along the target pattern, especially when the line of sight moves horizontally.

In step S320, the measuring unit 212 may measure the influence of the external signal introduced from the eye conduction signal obtained in step S310. At this time,

Figure pat00011
Can be calculated through Equation (1).

Figure pat00012

here,

Figure pat00013
The vertical component value of the eye conduction signal obtained in step S310
Figure pat00014
. ≪ / RTI >

Vertical elements of the ocular conduction signal

Figure pat00015
Can be defined as Equation (2).

Figure pat00016

Here, U means an ocular conduction signal measured from an electrode attached on the eye, and D means an ocular conduction signal measured from an electrode attached under the eye. And,

Figure pat00017
Means the transverse element of the ocular conduction signal.

Therefore, the measuring unit 212 can estimate the degree of the external signal (vertical element) introduced through the eye conduction signal when the eye moves horizontally.

In step S330, the corrector 213 determines whether the influence of the external signal measured in step S320

Figure pat00018
Can be used to correct the ocular conduction signal. In particular, the correction unit 213 corrects the influence of the external signal
Figure pat00019
Can be used to correct longitudinal elements of the ocular conduction signal.

Vertical elements of the corrected ocular conduction signal

Figure pat00020
Can be defined as Equation (3).

Figure pat00021

Here, U means an ocular conduction signal measured from an electrode attached on the eye, and D means an ocular conduction signal measured from an electrode attached under the eye. And,

Figure pat00022
Means the influence of an external signal,
Figure pat00023
Means the transverse element of the ocular conduction signal.

The above-described eye conduction signal correction method can be applied to the HCI technology field in which an eye conduction signal is input, such as a ball input system and a game interface.

Experimental environment for ocular conduction signal correction method is as follows.

Experiment environment

Data A and data B are acquired for 10 subjects.

Data A uses a recorded ocular conduction signal (one time for each subject) when moved from left to right, and Data B uses four patterns recorded as an ocular conduction signal (three times for each subject, 2 times for one subject).

The four patterns used in the experiment are shown in Fig.

Experiment method

The degree of external influence from data A (

Figure pat00024
), And corrects the signal of the data B by using this value. In order to evaluate the accuracy of the signal correction, the correlation coefficient between the vertical elements of the eye conduction signal and the vertical elements of the model pattern can be calculated and compared.

Experiment result

Table 1 shows the correlation coefficients (P1, P2, P3, P4) between the vertical elements of the eye conduction signal and the vertical elements of the model pattern for each pattern.

P1 P2 P3 P4 Average Calibrated signal 0.97 + - 0.05 0.96 + 0.08 0.98 + 0.02 0.91 ± 0.09 0.95 + 0.07 Uncorrected signal 0.92 + 0.08 0.93 + 0.08 0.92 ± 0.06 0.79 ± 0.20 0.90 + 0.13

Since the eye conduction signal is measured while each user draws a specified model pattern, the correlation coefficient is expected to be high when the signal is corrected correctly. It can be seen that the corrected signal has a correlation coefficient of about 5% higher than the uncorrected signal, and statistical analysis shows that the correlation coefficient (Paired t-test) has risen significantly (less than 10 -7 ) .

As described above, according to the embodiments of the present invention, the eye conduction signal can be more easily corrected, thereby making it possible to utilize the ocular conduction signal more widely and to enhance the user's convenience.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented as a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit, a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (15)

A computer-implemented ocular conduction signal correction method,
Obtaining a measured ocular conduction signal from a user;
Measuring an influence of an external signal flowing from the ocular conduction signal; And
Correcting the eye conduction signal using the influence of the external signal
And correcting the ocular conduction signal. The method according to claim 1,
Wherein the acquiring comprises:
Obtaining the eye conduction signal when moving the eye horizontally
Wherein the ocular conduction signal is calibrated. The method according to claim 1,
Wherein the acquiring comprises:
Acquiring the ocular conduction signal from electrodes attached to the upper, lower, left, and right sides of the user's eye
Wherein the ocular conduction signal is calibrated. The method according to claim 1,
Wherein the measuring step comprises:
Estimating the degree of the external signal flowing through the eye conduction signal when moving the eye horizontally
Wherein the ocular conduction signal is calibrated. The method according to claim 1,
Wherein the measuring step comprises:
Measuring the influence of the external signal using a standard deviation of a vertical component representing a difference of an ocular conduction signal obtained from an electrode attached above and below the eye of the user
Wherein the ocular conduction signal is calibrated. 6. The method of claim 5,
Wherein the correcting comprises:
Correcting the vertical direction element of the eye conduction signal using the influence of the external signal
Wherein the ocular conduction signal is calibrated. The method according to claim 1,
Wherein the measuring step comprises:
Calculating the influence of the external signal through Equation (1)
Wherein the ocular conduction signal is calibrated.
Equation 1:
Figure pat00025

Figure pat00026

(here,
Figure pat00027
The influence of the external signal,
Figure pat00028
The vertical direction element of the ocular conduction signal,
Figure pat00029
U is the ocular conduction signal measured from the electrode attached on the eye, D is the ocular conduction signal measured from the electrode attached below the eye,
Figure pat00030
Means the transverse component of the ocular conduction signal.) 8. The method of claim 7,
Wherein the correcting comprises:
Correction of longitudinal elements of the ocular conduction signal using Equation (2)
Wherein the ocular conduction signal is calibrated.
Equation 2:
Figure pat00031

(here,
Figure pat00032
U is the ocular conduction signal measured from the electrode attached on the eye, D is the ocular conduction signal measured from the electrode attached below the eye,
Figure pat00033
The influence of the external signal,
Figure pat00034
Means the transverse component of the ocular conduction signal.) A computer-implemented ocular conduction signal correction method,
Obtaining a measured ocular conduction signal when the user draws a pattern with the eye;
Estimating the degree of the external signal flowing through the eye conduction signal when the eye is horizontally moved; And
Correcting longitudinal elements of the acquired ocular conduction signal using the influence of the external signal
And correcting the ocular conduction signal. A computer system comprising one or more processors,
The one or more processors,
An acquiring unit acquiring an eye conduction signal measured from a user;
A measurement unit measuring an influence of an external signal flowing from the eye conduction signal; And
And a measurement unit for correcting the eye conduction signal using the influence of the external signal,
≪ / RTI > 11. The method of claim 10,
Wherein the obtaining unit comprises:
Obtaining the eye conduction signal when moving the eye horizontally
Lt; / RTI > 11. The method of claim 10,
Wherein the obtaining unit comprises:
Acquiring the ocular conduction signal from electrodes attached to the upper, lower, left, and right sides of the user's eye
Lt; / RTI > 11. The method of claim 10,
Wherein the measuring unit comprises:
Estimating the degree of the external signal flowing through the eye conduction signal when moving the eye horizontally
Lt; / RTI > 11. The method of claim 10,
Wherein the measuring unit comprises:
Measuring the influence of the external signal using a standard deviation of a vertical component representing a difference of an ocular conduction signal obtained from an electrode attached above and below the eye of the user
Lt; / RTI > 15. The method of claim 14,
Wherein,
Correcting the vertical direction element of the eye conduction signal using the influence of the external signal
Lt; / RTI >
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20220073621A (en) * 2020-11-26 2022-06-03 한양대학교 산학협력단 Method for eye tracking based electromyogram

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20220073621A (en) * 2020-11-26 2022-06-03 한양대학교 산학협력단 Method for eye tracking based electromyogram

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