CN216060541U - Eye movement monitoring system based on electroencephalogram analysis - Google Patents
Eye movement monitoring system based on electroencephalogram analysis Download PDFInfo
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- CN216060541U CN216060541U CN202121974809.6U CN202121974809U CN216060541U CN 216060541 U CN216060541 U CN 216060541U CN 202121974809 U CN202121974809 U CN 202121974809U CN 216060541 U CN216060541 U CN 216060541U
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Abstract
The present disclosure relates to an eye movement monitoring system based on brain wave analysis. The system comprises: the electroencephalogram analysis device comprises a display device, an image mask, an electroencephalogram acquisition device and an electroencephalogram analysis device, wherein the image mask is arranged on a screen of the display device, and the electroencephalogram analysis device is connected with the electroencephalogram acquisition device; wherein: the display device is used for displaying a preset video to a tested user; the image mask is used for alternately changing between transparency and non-transparency according to a preset period so as to change the brightness of a preset area of the displayed preset video, thereby realizing the alternate change of visibility and invisibility of the preset area by human eyes; the brain wave acquisition device is used for acquiring brain wave signals of a tested user and sending the brain wave signals to the brain wave analysis device; the brain wave analysis device is used for determining the screen position focused by the eyes of the tested user according to the brain wave signals and the preset frequency. In this way, low-cost eye movement monitoring can be achieved by the eye movement monitoring system.
Description
Technical Field
The present disclosure relates to the field of electroencephalogram analysis, and in particular, to an eye movement monitoring system based on electroencephalogram analysis.
Background
When media is studied on audiences, the audiences are often interested in what content, and there is a corresponding need for knowing where the audience looks to the screen. So that the content of the position is analyzed again for the stimulation of the person. In the related art, a professional eye movement analyzer may be used to measure the eye movement of a user to be tested, thereby obtaining the position of a screen focused by the sight line of the user to be tested. However, the eye movement analyzer has a complicated structure and is expensive.
SUMMERY OF THE UTILITY MODEL
An object of the present disclosure is to provide an eye movement monitoring system based on brain wave analysis to solve the above-mentioned problems in the related art.
In order to achieve the above object, a first aspect of the present disclosure provides an eye movement monitoring system based on electroencephalogram analysis, the system including a display device, an image mask, an electroencephalogram acquisition device, and an electroencephalogram analysis device, the image mask being disposed on a screen of the display device, the electroencephalogram analysis device being connected to the electroencephalogram acquisition device; wherein:
the display device is used for displaying a preset video to a tested user;
the image mask is used for alternately changing the transparency of the mask between transparency and non-transparency according to a preset frequency so as to change the brightness of a preset area of the displayed preset video, thereby realizing the alternate change of the visibility and the invisibility of the video area by human eyes;
the brain wave acquisition device is used for acquiring brain wave signals of a tested user and sending the brain wave signals to the brain wave analysis device;
and the brain wave analysis device is used for determining the screen position concerned by the eyes of the tested user according to the brain wave signal and the preset frequency.
Optionally, the image mask comprises: the mask control device comprises a mask substrate and a mask controller, wherein the mask substrate comprises a plurality of target areas; the mask substrate is connected with the mask controller;
the mask substrate is used for determining the target transparency of each target area according to a target transparency control instruction sent by a mask controller, and taking the target transparency as the current transparency state of the target area;
the mask controller is used for sending a target transparency control instruction corresponding to each target area to the mask substrate according to the preset frequency of the target area so that the target area can display the target transparency; the target transparency comprises transparency and non-transparency, the preset frequency corresponding to each target area is different, and the target transparency of the same target area in two adjacent periods is different.
Optionally, the target area is a square area.
Optionally, the mask substrate is a liquid crystal display substrate.
Optionally, the image mask further comprises a transparent adhesive layer; wherein the content of the first and second substances,
the bonding layer is used for bonding the mask substrate and the display device so that the mask substrate is fixed on the display device.
Optionally, the image mask further comprises a clamping assembly; wherein the content of the first and second substances,
the clamping assembly is used for clamping the mask substrate and the display device so that the mask substrate is fixed on the display device.
Optionally, the brain wave acquiring device is a head-mounted brain wave acquiring device.
Optionally, the head-mounted brain wave collecting device comprises a plurality of electrode caps, and the electrode caps are connected with the brain of the tested user and are respectively used for collecting brain waves at occipital lobe of the brain.
Optionally, the head-wearing brain wave collecting device further comprises a signal amplifier, and the signal amplifier is connected with the electrode cap; the signal amplifier is used for amplifying the brain wave signals collected by the electrode caps and sending the amplified brain wave signals to the brain wave analysis device.
Optionally, the system further comprises a server connected with the brain wave analysis device,
the brain wave analysis device is further used for sending the brain wave signals and the screen positions concerned by the eyes of the tested user to the server;
and the server is used for receiving and storing the brain wave signals and the screen position concerned by the eyes of the tested user.
The technical scheme is adopted, the electroencephalogram analysis device comprises a display device, an image mask, an electroencephalogram acquisition device and an electroencephalogram analysis device, wherein the image mask is arranged on a screen of the display device, and the electroencephalogram analysis device is connected with the electroencephalogram acquisition device; wherein: the display device is used for displaying a preset video to a tested user; the image mask is used for alternately changing between transparency and non-transparency according to a preset period so as to change the brightness of a preset area of the displayed preset video, thereby realizing the alternate change of visibility and invisibility of the video area by human eyes; the brain wave acquisition device is used for acquiring brain wave signals of a tested user and sending the brain wave signals to the brain wave analysis device; the brain wave analysis device is used for determining the screen position focused by the eyes of the tested user according to the brain wave signals and the preset frequency. Therefore, the eye movement monitoring system can determine the attention position of the eyes of the user to be detected without a complex eye movement analyzer, and low-cost eye movement monitoring is realized.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
fig. 1 is a block diagram of an eye movement monitoring system based on electroencephalogram analysis according to an embodiment of the present disclosure.
Fig. 2 is a schematic diagram of an image mask provided by an embodiment of the present disclosure.
Fig. 3 is a schematic view of a mask substrate according to an embodiment of the disclosure.
Fig. 4 is a schematic diagram of a brain wave acquisition device according to an embodiment of the present disclosure.
Fig. 5 is a block diagram of another eye movement monitoring system based on electroencephalogram analysis according to an embodiment of the present disclosure.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
It is noted that, in the present disclosure, the terms "first," "second," and the like are used for descriptive purposes only and not for purposes of indicating or implying relative importance, nor for purposes of indicating or implying order; the terms "S101", "S102", "S201", "S202", etc. are used to distinguish the steps and are not necessarily to be construed as performing method steps in a particular order or sequence; when the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated.
First, an application scenario of the present disclosure will be explained. The present disclosure may be applied to an eye movement analysis scenario. In the related art, a professional eye movement analyzer may be used to measure the eye movement of a user under test. The eye movement analyzer is a relatively complex large-scale instrument, is mainly used for recording eye movement track characteristics of people in the process of processing visual information, and is widely used for research in the fields of attention, visual perception, reading and the like. However, the eye movement analyzer has a complicated structure and is expensive. Illustratively, the eye movement analyzer may include four systems, namely an optical system, a pupil center coordinate extraction system, a view and pupil coordinate superposition system, and an image and data recording and analyzing system.
In order to solve the above problems, the present disclosure provides an eye movement monitoring system based on brain wave analysis, which may include a display device, an image mask, a brain wave collecting device, and a brain wave analyzing device, the image mask being disposed on a screen of the display device, the brain wave analyzing device being connected to the brain wave collecting device; wherein: the display device is used for displaying a preset video to a tested user; the image mask is used for alternately changing between transparency and non-transparency according to a preset period so as to change the brightness of a preset area of the displayed preset video, thereby realizing the alternate change of visibility and invisibility of the video area by human eyes; the brain wave acquisition device is used for acquiring brain wave signals of a tested user and sending the brain wave signals to the brain wave analysis device; the brain wave analysis device is used for determining the screen position focused by the eyes of the tested user according to the brain wave signals and the preset frequency. Therefore, the eye movement monitoring system can determine the attention position of the eyes of the user to be detected without a complex eye movement analyzer, and low-cost eye movement monitoring is realized.
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings.
Fig. 1 is a block diagram of an eye movement monitoring system based on electroencephalogram analysis according to an embodiment of the present disclosure, and as shown in fig. 1, the eye movement monitoring system 100 includes a display device 101, an image mask 102, an electroencephalogram acquisition device 103, and an electroencephalogram analysis device 104, the image mask 102 is disposed on a screen of the display device 101, and the electroencephalogram analysis device 104 is connected to the electroencephalogram acquisition device 103; wherein:
the display device 101 is used for displaying a preset video to a tested user.
The image mask 102 is configured to alternately change the transparency of the mask between transparent and non-transparent according to a preset frequency to change the brightness of a preset region of the displayed preset video, so as to realize the alternating between visible and invisible conversion of the video region by human eyes.
The brain wave collecting device 103 is configured to collect a brain wave signal of the tested user and send the brain wave signal to the brain wave analyzing device.
The electroencephalogram analyzing device 104 is configured to determine a screen position focused by the eyes of the tested user according to the electroencephalogram signal and the preset frequency.
Illustratively, the display device may include a screen and a controller, and the screen may play a preset video under the control of the controller.
It should be noted that, after being stimulated by regular blinking, the eyes of the tested user may generate a certain nerve action potential, which may be referred to as a Steady-State Visual Evoked potential (SSVEP). Through the regular visual stimulation, original disordered electroencephalogram signals can be induced to generate consistent neural network resonance. The neural action potential is related to the stimulation frequency (at the fundamental frequency or the multiple frequency of the stimulation frequency). Under the irregular video stimulation, the generated brain wave signals are also disordered and irregular. However, the transparency of the mask is alternately changed between transparent and non-transparent according to the preset frequency through the image mask so as to change the brightness of the displayed preset area of the preset video, so that the visible and invisible alternate change of human eyes to the video area is realized, the eyes of a tested user can receive the video and flicker according to the preset frequency, and the tested user can generate regular visual stimulation to induce the generation of regular brain wave signals.
Then, the regular brain wave signals are collected through a brain wave collecting device and sent to a brain wave analyzing device; the brain wave analysis device can analyze the resonance of the brain wave signal, match the resonance frequency with the flicker frequency, and determine whether the eyes of the tested user see the screen flicker position, thereby determining the screen position concerned by the eyes of the tested user.
The eye movement monitoring system comprises a display device, an image mask, a brain wave acquisition device and a brain wave analysis device, wherein the image mask is arranged on a screen of the display device, and the brain wave analysis device is connected with the brain wave acquisition device; wherein: the display device is used for displaying a preset video to a tested user; the image mask is used for alternately changing between transparency and non-transparency according to a preset period so as to change the brightness of a preset area of the displayed preset video, thereby realizing the alternate change of visibility and invisibility of the video area by human eyes; the brain wave acquisition device is used for acquiring brain wave signals of a tested user and sending the brain wave signals to the brain wave analysis device; the brain wave analysis device is used for determining the screen position focused by the eyes of the tested user according to the brain wave signals and the preset frequency. Therefore, the eye movement monitoring system can determine the attention position of the eyes of the user to be detected without a complex eye movement analyzer, and low-cost eye movement monitoring is realized.
Fig. 2 is a schematic diagram of an image mask provided by an embodiment of the present disclosure, and as shown in fig. 2, the image mask may include: a mask substrate 1021 and a mask controller 1022, the mask substrate 1021 including a predetermined number of target regions; the mask substrate is connected with the mask controller;
the mask substrate is used for determining the target transparency of each target area according to a target transparency control instruction sent by a mask controller, and taking the target transparency as the current transparency state of the target area;
the mask controller is used for sending a target transparency control instruction corresponding to each target area to the mask substrate according to the preset frequency of each target area so that the target area can display the target transparency; the target transparency comprises transparency and non-transparency, the preset frequency corresponding to each target area is different, and the target transparency of the same target area in two adjacent periods is different.
It should be noted that the frequency range of SSVEP generation can be between 1Hz to 100 Hz. In order to avoid the alpha and beta waves, avoid the problem of epilepsy induced by the tested user, and to generate better visual effect, the preset frequency may be set to any value between 30HZ and 100HZ, and the minimum interval difference of the preset frequencies corresponding to different target areas may be any value between 0.4HZ and 1 HZ.
Therefore, the target frequency corresponding to the brain wave signal of the tested user is obtained through analysis of the electroencephalogram analysis device, if the preset frequency of a certain target area is determined to be the same as the target frequency, the target area can be used as the screen position concerned by the eyes of the tested user, and the concerned content of the user is further determined through the screen position and the preset video.
Fig. 3 is a schematic view of a mask substrate provided by an embodiment of the present disclosure, and as shown in fig. 3, a target area of the mask substrate may be a square area.
In an example, when a video or an image is played, a mask substrate is added in front of the image, so that the effect of overlapping an image layer on the video or the image is achieved. The mask substrate can be divided into N square areas with the same size according to the size of the screen and the distance between people. For example: for a video with a resolution of 1080P, the mask substrate may be divided into 10 × 9 square regions, i.e., 9 rows of 10 square regions each. And each square area is subjected to transparent and non-transparent alternate transformation according to the corresponding preset frequency. The preset frequencies corresponding to each square area are different, the preset frequency can be any value between 30HZ and 100HZ, and the minimum interval difference of the preset frequencies corresponding to different square areas can be any value between 0.4HZ and 1 HZ.
Therefore, by arranging the square area, the screen can be distinguished more carefully, so that the specific position of the screen concerned by the eyes of the tested user can be acquired more accurately.
Further, the mask substrate may be a liquid crystal display substrate. The liquid crystal display substrate can be a module without backlight and only a liquid crystal glass substrate which can transmit light and block light. The transparent state of the mask substrate can be made transparent or opaque by applying a voltage across the liquid crystal to deflect the internal crystal. When the target area on the mask substrate is transparent, the light of the display device can penetrate through the glass and reach the eyes of the user to be detected; when the target area in the mask substrate is opaque, it will not transmit the display light. By utilizing the principle, the target area is subjected to transparent and opaque conversion according to the preset frequency, so that the aim of flickering a light source in a video can be fulfilled.
Furthermore, the liquid crystal display substrate can be a substrate with high resolution and high response speed. For example, the resolution may be 1920 × 1080 pixels or 3840 × 2160 pixels; the response speed may be 1 millisecond, 2 milliseconds, or 5 milliseconds. In this way, the accuracy of eye movement monitoring can be further improved.
In another embodiment of the present disclosure, the image mask may further include a clamping member or a transparent adhesive layer to fix the image mask to the display device. The method comprises the following steps:
the image mask may include a transparent adhesive layer; the bonding layer is used for bonding the mask substrate and the display device so that the mask substrate is fixed on the display device.
The image mask further includes a clamping assembly; the clamping assembly is used for clamping the mask substrate and the display device so that the mask substrate is fixed on the display device.
In this way, the image mask can be fixed to the display device.
Fig. 4 is a schematic view of a brain wave collecting device according to an embodiment of the present disclosure, as shown in fig. 4, which is a head-mounted brain wave collecting device. The head-wearing brain wave acquisition device comprises a plurality of electrode caps, wherein the electrode caps are connected with the brain of a tested user and are respectively used for acquiring brain waves at the occipital lobe of the brain. The plurality of electrode caps includes electrode caps located at several positions of P03, P0Z, P04, 01, 0Z, and 02 shown in fig. 4.
The head-wearing brain wave acquisition device also comprises a signal amplifier, and the signal amplifier is connected with the electrode cap; the signal amplifier is used for amplifying the brain wave signals collected by the electrode cap and sending the amplified brain wave signals to the brain wave analysis device. The manner of sending the brain wave signal may include a wired connection, a wireless connection, a USB interface, or a serial port.
Fig. 5 is a block diagram of another eye movement monitoring system based on brain wave analysis according to an embodiment of the present disclosure, and as shown in fig. 5, the eye movement monitoring system further includes a server 501, the server 501 is connected to the brain wave analysis device 104, wherein:
the brain wave analysis device 104 is further configured to send the brain wave signals and the screen position focused by the eyes of the tested user to the server;
the server 501 is configured to receive and store the brain wave signal and the screen position focused by the eyes of the tested user.
Therefore, the server can store the brain wave signals of the tested user and the eye movement data of the tested user, and large data analysis is achieved.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (10)
1. An eye movement monitoring system based on brain wave analysis is characterized by comprising a display device, an image mask, a brain wave acquisition device and a brain wave analysis device, wherein the image mask is arranged on a screen of the display device; wherein:
the display device is used for displaying a preset video to a tested user;
the image mask is used for alternately changing the transparency of the mask between transparency and non-transparency according to a preset frequency so as to change the brightness of a preset area of the displayed preset video;
the brain wave acquisition device is used for acquiring brain wave signals of a tested user and sending the brain wave signals to the brain wave analysis device;
and the brain wave analysis device is used for determining the screen position concerned by the eyes of the tested user according to the brain wave signal and the preset frequency.
2. The system of claim 1, wherein the image mask comprises: the mask control device comprises a mask substrate and a mask controller, wherein the mask substrate comprises a plurality of target areas; the mask substrate is connected with the mask controller;
the mask substrate is used for determining the target transparency of each target area according to a target transparency control instruction sent by a mask controller, and taking the target transparency as the current transparency state of the target area;
the mask controller is used for sending a target transparency control instruction corresponding to each target area to the mask substrate according to the preset frequency of the target area so that the target area can display the target transparency; the target transparency comprises transparency and non-transparency, and the preset frequency corresponding to each target area is different.
3. The system of claim 2, wherein the target area is a square area.
4. The system of claim 2, wherein the mask substrate is a liquid crystal display substrate.
5. The system of claim 2, wherein the image mask further comprises a transparent adhesive layer; wherein the content of the first and second substances,
the bonding layer is used for bonding the mask substrate and the display device so that the mask substrate is fixed on the display device.
6. The system of claim 2, wherein the image mask further comprises a clamping assembly; wherein the content of the first and second substances,
the clamping assembly is used for clamping the mask substrate and the display device so that the mask substrate is fixed on the display device.
7. The system according to claim 1, wherein the brain wave acquisition device is a head-mounted brain wave acquisition device.
8. The system as claimed in claim 7, wherein the head-mounted brain wave collecting device comprises a plurality of electrode caps connected with the brain of the tested user for collecting the brain waves at the occipital lobe of the brain respectively.
9. The system according to claim 8, wherein the head-worn brain wave collecting device further comprises a signal amplifier connected with the electrode cap; the signal amplifier is used for amplifying the brain wave signals collected by the electrode caps and sending the amplified brain wave signals to the brain wave analysis device.
10. The system according to any one of claims 1 to 9, further comprising a server connected with the brain wave analysis device, wherein:
the brain wave analysis device is further used for sending the brain wave signals and the screen positions concerned by the eyes of the tested user to the server;
and the server is used for receiving and storing the brain wave signals and the screen position concerned by the eyes of the tested user.
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| CN202121974809.6U CN216060541U (en) | 2021-08-19 | 2021-08-19 | Eye movement monitoring system based on electroencephalogram analysis |
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| CN202121974809.6U CN216060541U (en) | 2021-08-19 | 2021-08-19 | Eye movement monitoring system based on electroencephalogram analysis |
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