阅读说明：本技术 一种基于电信号的眨眼检测方法、装置、介质及电子设备 (Blink detection method, device, medium and electronic equipment based on electric signals ) 是由 郑晓波 包芳军 王俊杰 陈世豪 王勤美 于 2021-09-26 设计创作，主要内容包括：本申请公开了一种基于电信号的眨眼检测方法、装置、计算机可读存储介质及电子设备,通过获取被检测者在第一预设时间内的电波信息和被检测者在第二预设时间内的眼部视频信息；然后根据眨眼过程对应的电信号阈值,获取第二预设时间内的电波信息中的预选眨眼数据,并且查找眼部视频信息在预选眨眼数据对应的时间段内的图像数据,对图像数据进行识别,当识别结果为图像数据为眨眼过程时,确定预选眨眼数据为参考电信号；最后基于参考电信号,确定电波信息中的眨眼数据；即通过电波信息和眼部视频信息综合确定被检测者的参考电信号,并以该参考电信号为参考数据来确定电波信号中的所有眨眼数据,从而提高了检测的精度。(The application discloses a blink detection method and device based on electric signals, a computer readable storage medium and electronic equipment, wherein electric wave information of a detected person in a first preset time and eye video information of the detected person in a second preset time are obtained; then, according to an electric signal threshold value corresponding to the blinking process, pre-selected blinking data in the electric wave information within a second preset time are obtained, image data of eye video information within a time period corresponding to the pre-selected blinking data are searched, the image data are identified, and when the identification result is that the image data are in the blinking process, the pre-selected blinking data are determined to be a reference electric signal; finally, determining blink data in the radio wave information based on the reference electric signal; the reference electric signal of the detected person is comprehensively determined through the electric wave information and the eye video information, and all blink data in the electric wave signal are determined by taking the reference electric signal as reference data, so that the detection precision is improved.)

1. A method for blink detection based on an electrical signal, comprising:

acquiring electric wave information of a detected person within a first preset time; wherein the radio wave information represents an electric signal generated by the detected person during blinking;

acquiring eye video information of the detected person within a second preset time; the second preset time is contained in the first preset time, and the second preset time is smaller than the first preset time;

acquiring pre-selected blink data in the electric wave information within the second preset time according to an electric signal threshold corresponding to the blink process;

searching image data of the eye video information in a time period corresponding to the pre-selected blink data, and identifying the image data;

when the identification result is that the image data is a blinking process, determining the pre-selected blinking data as a reference electrical signal; and

and determining blink data in the electric wave information based on the reference electric signal.

2. The blink detection method based on the electric signal according to claim 1, wherein the electric wave information comprises electromyographic information and/or ocular wave information; wherein the acquiring of the radio wave information of the detected person within the first preset time comprises:

and acquiring the electromyographic information and/or the electro-ocular wave information of the detected person within the first preset time through an electric signal acquisition device.

3. The blink detection method based on the electric signal according to claim 1, wherein the acquiring of the pre-selected blink data in the electric wave information within the second preset time according to the electric signal threshold corresponding to the blink process comprises:

comparing the peak value and the wavelength of the electric wave information and the electric signal threshold value to obtain a difference value; and

and selecting the electric signal of which the difference value is smaller than a preset difference value threshold value as the pre-selected blink data.

4. The method of claim 1, wherein the identifying the image data comprises:

acquiring a target area between an upper eyelid and a lower eyelid in the image data;

calculating the palpebral fissure height corresponding to the target area;

determining the opening and closing state of the target area according to the eyelid fissure height; and

determining eye states in the image data according to the opening and closing states of all target areas in the image data; wherein the eye state comprises a blinking state and a non-blinking state.

5. The method of claim 1, wherein the determining the pre-selected blink data as a reference electrical signal comprises:

and taking the electric signal corresponding to one or more blinking processes of the pre-selected blinking data as the reference electric signal.

6. The blink detection method based on the electric signal according to claim 1, wherein the determining blink data in the electric wave information based on the reference electric signal comprises:

and when the electric wave information contains an electric signal of which the difference with the reference electric signal is smaller than a preset difference threshold value, determining that the electric signal corresponds to a blinking process.

7. The blink detection method based on the electric signal according to claim 1, further comprising, after the acquiring the electric wave information of the detected person within a first preset time:

filtering the electric wave information to obtain filtered electric wave information;

the acquiring of the pre-selected blink data in the electric wave information within the second preset time according to the electric signal threshold corresponding to the blinking process includes:

acquiring pre-selected blink data in the filtered electric wave information within the second preset time according to an electric signal threshold corresponding to the blink process;

the determining blink data in the electric wave information based on the reference electric signal comprises:

and determining blink data in the filtered electric wave information based on the reference electric signal.

8. An apparatus for blink detection based on an electrical signal, comprising:

the electric wave acquisition module is used for acquiring electric wave information of a detected person within a first preset time; wherein the radio wave information represents an electric signal generated by the detected person during blinking;

the video acquisition module is used for acquiring eye video information of the detected person within a second preset time; the second preset time is contained in the first preset time, and the second preset time is smaller than the first preset time;

the preselection module is used for acquiring preselection blink data in the electric wave information within the second preset time according to an electric signal threshold corresponding to the blinking process;

the image identification module is used for searching image data of the eye video information in a time period corresponding to the pre-selected blink data and identifying the image data;

the reference determination module is used for determining the pre-selection blink data as a reference electric signal when the identification result is that the image data is a blink process; and

and the blink determining module is used for determining blink data in the electric wave information based on the reference electric signal.

9. A computer-readable storage medium storing a computer program for executing the method for blink detection based on electrical signals as claimed in any one of the claims 1-7.

10. An electronic device, the electronic device comprising:

a processor; and

a memory for storing the processor-executable instructions;

the processor is configured to perform the method for blink detection based on electrical signals as claimed in any one of the preceding claims 1-7.

Technical Field

The application relates to the technical field of eye detection processing, in particular to a blink detection method and device based on an electric signal, a computer readable storage medium and electronic equipment.

Background

Blinking, also known as the temporal reflex, is a rapid periodic movement of the eyelids that results from the forces generated during contraction and relaxation of the levator palpebral and orbicularis oculi muscles. Muscle action force generated during blinking promotes secretion of meibomian gland meibum, the secreted meibum is extruded to the eyelid margin, the upper eyelid and the lower eyelid are contacted with each other, and the meibum can be uniformly diffused to the tear film along the eyelid margin, so that a lipid layer of the tear film is formed, the eye surface is lubricated, and the tear evaporation is reduced. Abnormal blinking may cause a series of eye symptoms and signs to change accordingly. As the upper and lower lids are in reduced contact, the lipid reservoir at the lid margin is reduced in lipid, further contributing to uneven tear film distribution. Long term obstruction can cause disuse atrophy of the meibomian glands, resulting in loss of the meibomian glands. Therefore, when abnormal blinking occurs, ocular surface diseases and meibomian gland loss occur.

The method for predicting the eye performance of the patient by counting the blink data of the patient obviously has an effective means for monitoring the eye diseases of the patient, however, in the existing counting process, the number of conscious blinks of the patient may be obviously increased due to factors such as stress, and the counting result is inaccurate.

Disclosure of Invention

The present application is proposed to solve the above-mentioned technical problems. Embodiments of the present application provide a blink detection method and apparatus based on an electrical signal, a computer-readable storage medium, and an electronic device, which solve the above problem of inaccurate statistical blink data.

According to an aspect of the present application, there is provided a blink detection method based on an electrical signal, comprising: acquiring electric wave information of a detected person within a first preset time; wherein the radio wave information represents an electric signal generated by the detected person during blinking; acquiring eye video information of the detected person within a second preset time; the second preset time is contained in the first preset time, and the second preset time is smaller than the first preset time; acquiring pre-selected blink data in the electric wave information within the second preset time according to an electric signal threshold corresponding to the blink process; searching image data of the eye video information in a time period corresponding to the pre-selected blink data, and identifying the image data; when the identification result is that the image data is a blinking process, determining the pre-selected blinking data as a reference electrical signal; and determining blink data in the electric wave information based on the reference electric signal.

In one embodiment, the electric wave information comprises electromyographic information and/or ocular electric wave information; wherein the acquiring of the radio wave information of the detected person within the first preset time comprises: and acquiring the electromyographic information and/or the electro-ocular wave information of the detected person within the first preset time through an electric signal acquisition device.

In an embodiment, the acquiring pre-selected blink data in the electric wave information within the second preset time according to the electric signal threshold corresponding to the blinking process includes: comparing the peak value and the wavelength of the electric wave information and the electric signal threshold value to obtain a difference value; and selecting the electric signal of which the difference value is smaller than a preset difference value threshold value as the pre-selected blink data.

In an embodiment, the identifying the image data comprises: acquiring a target area between an upper eyelid and a lower eyelid in the image data; calculating the palpebral fissure height corresponding to the target area; determining the opening and closing state of the target area according to the eyelid fissure height; determining eye states in the image data according to the opening and closing states of all target areas in the image data; wherein the eye state comprises a blinking state and a non-blinking state.

In an embodiment, the determining the pre-selected blink data as a reference electrical signal comprises: and taking the electric signal corresponding to one or more blinking processes of the pre-selected blinking data as the reference electric signal.

In an embodiment, the determining blink data in the electrical wave information based on the reference electrical signal comprises: and when the electric wave information contains an electric signal of which the difference with the reference electric signal is smaller than a preset difference threshold value, determining that the electric signal corresponds to a blinking process.

In one embodiment, after the acquiring the electric wave information of the detected person within the first preset time, the blink detection method based on the electric signal further includes: filtering the electric wave information to obtain filtered electric wave information; the acquiring of the pre-selected blink data in the electric wave information within the second preset time according to the electric signal threshold corresponding to the blinking process includes: acquiring pre-selected blink data in the filtered electric wave information within the second preset time according to an electric signal threshold corresponding to the blink process; the determining blink data in the electric wave information based on the reference electric signal comprises: and determining blink data in the filtered electric wave information based on the reference electric signal.

According to another aspect of the present application, there is provided an electric signal-based blink detection apparatus comprising: the electric wave acquisition module is used for acquiring electric wave information of a detected person within a first preset time; wherein the radio wave information represents an electric signal generated by the detected person during blinking; the video acquisition module is used for acquiring eye video information of the detected person within a second preset time; the second preset time is contained in the first preset time, and the second preset time is smaller than the first preset time; the preselection module is used for acquiring preselection blink data in the electric wave information within the second preset time according to an electric signal threshold corresponding to the blinking process; the image identification module is used for searching image data of the eye video information in a time period corresponding to the pre-selected blink data and identifying the image data; the reference determination module is used for determining the pre-selection blink data as a reference electric signal when the identification result is that the image data is a blink process; and a blink determination module for determining blink data in the electric wave information based on the reference electric signal.

According to another aspect of the present application, a computer-readable storage medium is provided, the storage medium having stored thereon a computer program for executing any of the above-described methods for blink detection based on electrical signals.

According to another aspect of the present application, there is provided an electronic apparatus including: a processor; and a memory for storing the processor-executable instructions; the processor is configured to perform any of the above-described blink detection methods based on electrical signals.

The blink detection method and device based on the electric signals, the computer readable storage medium and the electronic equipment are characterized in that electric wave information of a detected person in a first preset time and eye video information of the detected person in a second preset time are obtained; the second preset time is contained in the first preset time, and the second preset time is less than the first preset time; then, according to an electric signal threshold value corresponding to the blinking process, pre-selected blinking data in the electric wave information within a second preset time are obtained, image data of the eye video information within a time period corresponding to the pre-selected blinking data are searched, the image data are identified, when the identification result is that the image data are in the blinking process, the pre-selected blinking data are determined to be a reference electric signal, and finally, the blinking data in the electric wave information are determined based on the reference electric signal; the reference electric signal of the detected person is comprehensively determined through the electric wave information and the eye video information, and all blink data in the electric wave signal are determined by taking the reference electric signal as reference data, so that the detection precision is improved.

Drawings

The above and other objects, features and advantages of the present application will become more apparent by describing in more detail embodiments of the present application with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings, like reference numbers generally represent like parts or steps.

Fig. 1 is a schematic flowchart of a blink detection method based on an electric signal according to an exemplary embodiment of the present application.

Fig. 2 is a schematic flow chart diagram of a pre-selected blink data acquisition method according to an exemplary embodiment of the present application.

Fig. 3 is a flowchart illustrating an image recognition method according to an exemplary embodiment of the present application.

Fig. 4 is a schematic flowchart of a blink detection method based on an electric signal according to another exemplary embodiment of the present application.

Fig. 5 is a schematic structural diagram of an eye blink detection device based on an electric signal according to an exemplary embodiment of the present application.

Fig. 6 is a schematic structural diagram of an eye blink detection device based on an electric signal according to another exemplary embodiment of the present application.

Fig. 7 is a block diagram of an electronic device provided in an exemplary embodiment of the present application.

Detailed Description

Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be understood that the described embodiments are only some embodiments of the present application and not all embodiments of the present application, and that the present application is not limited by the example embodiments described herein.

Fig. 1 is a schematic flowchart of a blink detection method based on an electric signal according to an exemplary embodiment of the present application. As shown in fig. 1, the blink detection method based on an electric signal includes:

step 110: acquiring radio wave information of a detected person within a first preset time.

The radio wave information represents an electric signal generated by the subject during blinking. Acquiring the electric wave information of the detected person within a preset time period by an electric wave signal detection instrument, wherein the electric wave information can be an electromyographic signal or an electro-oculogram signal, namely acquiring the electromyographic signal and/or the electro-oculogram signal of the detected person by the electric wave signal detection instrument.

Step 120: and acquiring eye video information of the detected person within a second preset time.

The second preset time is included in the first preset time, and the second preset time is smaller than the first preset time. The method includes the steps of acquiring eye video information of a detected person at the same time of acquiring the detected person, wherein the acquisition time of the eye video information is included in a first preset time period and is shorter than the first preset time period, that is, the eye video information within a period of time within the first preset time period is acquired.

Step 130: and acquiring pre-selected blink data in the radio wave information within a second preset time according to the electric signal threshold corresponding to the blink process.

Because the blinking process can cause the electric wave signal to shake, namely, a peak is generated, by comparing the electric signal threshold value corresponding to the blinking process with the electric wave signal, possible blinking data in the electric wave information within the second preset time can be obtained, and the pre-selected blinking data can be obtained.

Step 140: and searching image data of the eye video information in a time period corresponding to the pre-selected blink data, and identifying the image data.

After the pre-selected blink data are obtained, image data corresponding to the pre-selected blink data in the eye video information are searched, and the image data are identified, that is, the accuracy of the pre-selected blink data is verified by identifying the corresponding image data.

Step 150: and when the identification result is that the image data is a blinking process, determining the pre-selected blinking data as a reference electric signal.

When the identification result is that the image data is a blinking process, that is, the pre-selected blinking data is the blinking process data after passing the verification, the pre-selected blinking data is used as the reference electrical signal. Since the magnitude of the electrical signal may be different for each blink process of the detected person, inaccuracy may occur if the blink process is determined with a uniform electrical signal threshold. Therefore, the electric signal corresponding to the blink process of the detected person is used as the reference electric signal to determine the blink process, and the detection precision is improved. In particular, the electrical signal corresponding to one or more blinking processes of the pre-selected blink data may be used as the reference electrical signal.

Step 160: based on the reference electric signal, blink data in the electric wave information is determined.

After acquiring the reference electrical signal, determining blink data in the electrical wave information by taking the reference electrical signal as a reference standard, for example, determining that the electrical wave information has a small difference between the amplitude of the electrical wave signal and the amplitude of the reference electrical signal, and determining that the electrical wave signal corresponds to a blinking process. Specifically, when an electric signal with a difference smaller than a preset difference threshold value from a reference electric signal exists in the electric wave information, it is determined that the electric signal corresponds to a blinking process.

The blink detection method based on the electric signals comprises the steps of obtaining electric wave information of a detected person in a first preset time and eye video information of the detected person in a second preset time; the second preset time is contained in the first preset time, and the second preset time is less than the first preset time; then, according to an electric signal threshold value corresponding to the blinking process, pre-selected blinking data in the electric wave information within a second preset time are obtained, image data of the eye video information within a time period corresponding to the pre-selected blinking data are searched, the image data are identified, when the identification result is that the image data are in the blinking process, the pre-selected blinking data are determined to be a reference electric signal, and finally, the blinking data in the electric wave information are determined based on the reference electric signal; the reference electric signal of the detected person is comprehensively determined through the electric wave information and the eye video information, and all blink data in the electric wave signal are determined by taking the reference electric signal as reference data, so that the detection precision is improved.

Fig. 2 is a schematic flow chart diagram of a pre-selected blink data acquisition method according to an exemplary embodiment of the present application. As shown in fig. 2, the step 130 may include:

step 131: and comparing the peak value and the wavelength of the electric wave information and the electric signal threshold value to obtain a difference value.

Since the blinking process causes the electrical wave signal to jitter, i.e. to generate a waveform, the electrical signal threshold (including the peak value and the wavelength) corresponding to the blinking process is compared with the electrical signal threshold to obtain the difference between the electrical signal and the electrical signal threshold in the electrical wave information.

Step 132: and selecting the electric signals with the difference values smaller than a preset difference value threshold value as pre-selected blink data.

After the difference between the electric wave signal in the electric wave information and the electric signal threshold is obtained, possible blink data in the electric wave information within a second preset time can be obtained according to the difference, for example, when the difference is smaller than a preset difference threshold, the corresponding electric signal is pre-selected blink data, that is, pre-selected blink data is obtained.

Fig. 3 is a flowchart illustrating an image recognition method according to an exemplary embodiment of the present application. As shown in fig. 3, the step 140 may include:

step 141: a target region between the upper eyelid and the lower eyelid in the image data is acquired.

The image data may be acquired by a camera device such as a camera. The region between the upper eyelid and the lower eyelid, that is, the eyeball region or the eye opening region in the image data is acquired.

In an embodiment, the specific implementation manner of step 141 may be: inputting the image data into a recognition model to obtain a target area; wherein the recognition model may be a neural network model. The recognition model may be trained from standard image data.

Step 142: and calculating the eyelid fissure height corresponding to the target area.

The eyelid fissure height of the target area, i.e., the height at which the eye is open, is calculated to determine whether the eye in the current image is open and the proportion of the eye that is open. After the target area is obtained, the upper boundary and the lower boundary of the boundary line of the target area are the upper eyelid and the lower eyelid, and the first reference line and the second reference line can be obtained according to the end points of the two ends of the upper eyelid and the lower eyelid. Specifically, the first reference line and the second reference line may be a connection line of end points of both ends of the upper eyelid and a connection line of end points of both ends of the lower eyelid, respectively. Since each individual's eyelid is different and even some individual's eyes are tilted, there are instances when the calculation of the palpebral fissure height in both the horizontal and vertical directions can be inaccurate. Therefore, the present application determines a first reference line and a second reference line through the upper eyelid and the lower eyelid, and then determines the direction of the palpebral fissure height from the first reference line and the second reference line. Specifically, a reference direction may be obtained according to the first reference line and the second reference line, and the reference direction may be obtained by fitting the first reference line and the second reference line, that is, the sum of distances from all points on the first reference line and the second reference line to a straight line in which the reference direction is located is the minimum. After the reference direction is obtained, the direction of the height of the eyelid fissure can be determined to be the direction perpendicular to the reference direction. After the eyelid fissure direction is determined, a plurality of distance values between the upper eyelid and the lower eyelid along the eyelid fissure direction can be calculated, and the maximum value can be selected as the eyelid fissure height to better reflect the current opening and closing state of the eye. Respectively calculating the maximum difference between the eyelid fissure height and the maximum value and the minimum difference between the eyelid fissure height and the minimum value in all the images so as to judge the opening and closing state corresponding to the eyelid fissure height, wherein when the maximum difference is less than or equal to a first preset difference, the difference between the eyelid fissure height of the target area in the current image and the maximum eye opening state is small, and at the moment, the eye opening and closing state corresponding to the current image can be determined to be the eye opening state; when the minimum difference is less than or equal to the second preset difference, that is, the difference between the palpebral fissure height of the target region in the current image and the minimum eye opening state is small, it may be determined that the eye opening/closing state corresponding to the current image is the eye closing state. The second predetermined difference may be equal to the first predetermined difference, or may not be equal to the first predetermined difference.

Step 143: and determining the opening and closing state of the target area according to the height of the eyelid fissure.

The open-close state includes an open-eye state and a closed-eye state. After the eyelid fissure height is calculated, the opening and closing state of the eyes in the image is determined according to the eyelid fissure height. I.e., determines whether the eyes in the image are in an open-eye state or a closed-eye state.

Step 144: and determining the eye state in the image data according to the opening and closing states of all the target areas in the image data.

And after the opening and closing state of the target region in the image is obtained, determining the eye state according to the opening and closing state change of the target region of the plurality of continuous images. Specifically, when the opening/closing state of the target region changes from the eye-open state to the eye-closed state and then changes to the eye-open state again, it is determined that the corresponding image data is the blinking process.

Fig. 4 is a schematic flowchart of a blink detection method based on an electric signal according to another exemplary embodiment of the present application. As shown in fig. 4, after step 110, the method for blink detection based on an electrical signal may further include:

step 170: and filtering the radio wave information to obtain filtered radio wave information.

Specifically, clutter signals in the electric wave information are filtered out through filtering, so that more accurate electric wave information is obtained. Correspondingly, step 130 is adjusted to: acquiring pre-selected blink data in the filtered electric wave information within a second preset time according to an electric signal threshold corresponding to the blink process; step 160 is adjusted to: blink data in the filtered electrical wave information is determined based on the reference electrical signal.

Fig. 5 is a schematic structural diagram of an eye blink detection device based on an electric signal according to an exemplary embodiment of the present application. The blink detection device 50 includes: an electric wave acquisition module 51 for acquiring electric wave information of a detected person within a first preset time; wherein, the radio wave information represents the electric signal generated by the person to be detected in the blinking process; the video acquisition module 52 is configured to acquire eye video information of the detected person within a second preset time; the second preset time is contained in the first preset time, and the second preset time is less than the first preset time; the preselection module 53 is configured to acquire preselection blink data in the radio wave information within a second preset time according to the electrical signal threshold corresponding to the blinking process; the image identification module 54 is configured to search for image data of the eye video information in a time period corresponding to the pre-selected blink data, and identify the image data; a reference determination module 55, configured to determine pre-selected blink data as a reference electrical signal when the identification result is that the image data is a blinking process; and a blink determination module 56 for determining blink data in the electrical wave information based on the reference electrical signal.

According to the blink detection device based on the electric signals, electric wave information of a detected person in a first preset time and eye video information of the detected person in a second preset time are respectively obtained through an electric wave obtaining module 51 and a video obtaining module 52; the second preset time is contained in the first preset time, and the second preset time is less than the first preset time; then, the preselection module 53 acquires preselection blink data in the electric wave information within a second preset time according to an electric signal threshold corresponding to the blinking process, the image recognition module 54 searches image data of the eye video information within a time period corresponding to the preselection blink data to recognize the image data, when the recognition result is that the image data is the blinking process, the reference determination module 55 determines the preselection blink data as a reference electric signal, and finally the blinking determination module 56 determines the blinking data in the electric wave information based on the reference electric signal; the reference electric signal of the detected person is comprehensively determined through the electric wave information and the eye video information, and all blink data in the electric wave signal are determined by taking the reference electric signal as reference data, so that the detection precision is improved.

Fig. 6 is a schematic structural diagram of an eye blink detection device based on an electric signal according to another exemplary embodiment of the present application. As shown in fig. 6, the preselection module 53 may include: a comparison unit 531 for comparing the peak value and the wavelength of the electric wave information and the electric signal threshold to obtain a difference value; a selecting unit 532, configured to select the electric signal with the difference smaller than a preset difference threshold as the pre-selected blink data.

In one embodiment, as shown in FIG. 6, the image recognition module 54 may include: a target acquisition unit 541 for acquiring a target region between an upper eyelid and a lower eyelid in the image data; the height calculating unit 542 is used for calculating the palpebral fissure height corresponding to the target area; the state determining unit 543 is used for determining the opening and closing state of the target area according to the height of the eyelid fissure; the blink determining unit 544 is configured to determine an eye state in the image data according to the open/close states of all the target regions in the image data.

In an embodiment, the target acquisition unit 541 may be configured to: inputting the image data into a recognition model to obtain a target area; wherein the recognition model may be a neural network model. The recognition model may be trained from standard image data.

In an embodiment, as shown in fig. 6, the blink detection device 50 may further include: and a filtering module 57, configured to perform filtering processing on the radio wave information to obtain filtered radio wave information.

Next, an electronic apparatus according to an embodiment of the present application is described with reference to fig. 7. The electronic device may be either or both of the first device and the second device, or a stand-alone device separate from them, which stand-alone device may communicate with the first device and the second device to receive the acquired input signals therefrom.

FIG. 7 illustrates a block diagram of an electronic device in accordance with an embodiment of the present application.

As shown in fig. 7, the electronic device 10 includes one or more processors 11 and memory 12.

The processor 11 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 10 to perform desired functions.

Memory 12 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium and executed by processor 11 to implement the method for blink detection based on electrical signals of the various embodiments of the application described above and/or other desired functionality. Various contents such as an input signal, a signal component, a noise component, etc. may also be stored in the computer-readable storage medium.

In one example, the electronic device 10 may further include: an input device 13 and an output device 14, which are interconnected by a bus system and/or other form of connection mechanism (not shown).

When the electronic device is a stand-alone device, the input means 13 may be a communication network connector for receiving the acquired input signals from the first device and the second device.

The input device 13 may also include, for example, a keyboard, a mouse, and the like.

The output device 14 may output various information including the determined distance information, direction information, and the like to the outside. The output devices 14 may include, for example, a display, speakers, a printer, and a communication network and its connected remote output devices, among others.

Of course, for simplicity, only some of the components of the electronic device 10 relevant to the present application are shown in fig. 7, and components such as buses, input/output interfaces, and the like are omitted. In addition, the electronic device 10 may include any other suitable components depending on the particular application.

In addition to the above-described methods and apparatus, embodiments of the present application may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the method for eye blink detection based on electrical signals according to various embodiments of the present application as described in the above-mentioned "exemplary methods" section of the present description.

The computer program product may be written with program code for performing the operations of embodiments of the present application in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.

Furthermore, embodiments of the present application may also be a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, cause the processor to perform the steps in the method for blink detection based on electrical signals according to various embodiments of the present application as described in the above-mentioned "exemplary methods" section of the present specification.

The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The foregoing describes the general principles of the present application in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present application are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present application. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the foregoing disclosure is not intended to be exhaustive or to limit the disclosure to the precise details disclosed.

The block diagrams of devices, apparatuses, systems referred to in this application are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".

It should also be noted that in the devices, apparatuses, and methods of the present application, the components or steps may be decomposed and/or recombined. These decompositions and/or recombinations are to be considered as equivalents of the present application.

The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The foregoing description has been presented for purposes of illustration and description. Furthermore, the description is not intended to limit embodiments of the application to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.