174 results about "Eye opening" patented technology

An active eye open monitor calibration apparatus and method for active eye open monitor calibration are provided. A reference clock signal and an eye open monitor clock signal are received and a calibration selecting signal is used to control whether the reference clock signal samples the eye open monitor clock signal. An indicator signal is output and received by a phase indicating determination circuit for performing a calibration flow and accordingly calculating a phase offset signal. The eye open monitor clock is corrected based on the phase offset signal, such that a calibrated eye open monitor clock signal is synchronously in phase with the reference clock signal. By employing the proposed eye open monitor calibration apparatus and method thereof, the invention is effective in achieving phase synchronization for an eye open monitor clock signal in related to its reference clock signal, solving the phase mismatch in the related arts.

The invention discloses an eyeball depth image restoration method, system and device. The restoration method comprises the steps of obtaining an eye opening color image, an eye opening depth image, an eye closing color image and an eye closing depth image; respectively carrying out key point extraction on the eye-opening color image and the eye-closing color image to obtain eye-opening key point information and eye-closing key point information; respectively performing depth information extraction on the eye opening depth image and the eye closing depth image according to the eye opening key point information or the eye closing key point information to obtain eye opening depth information and eye closing depth information; according to the eye opening key point information and the eye closing key point information, obtaining a position conversion matrix between the eye opening color image and the eye closing color image; and according to the eye opening key point information, the eye opening depth information, the eye closing depth information and the position conversion matrix, obtaining an eyeball depth image after the to-be-repaired eyeball is repaired. The eye closing depth information and the eye opening depth information are aligned and fused, so that the problem of incomplete depth data in the eye opening state is effectively solved.

The invention discloses an image generation method and system based on a diffusion model and a storage medium, and the method comprises the steps: obtaining an original image, and carrying out the preprocessing of the original image, obtaining a face image, an eye region mask, a face image with the eye region mask removed, and a reference image which only retains an eye region; encoding the face image, the face image without the eye area mask and the eye area mask, and inputting the face image, the face image without the eye area mask and the eye area mask into a Unet model; obtaining a text prompt word and performing coding processing to obtain a text feature vector; performing coding processing and feature mapping processing on the reference image to obtain an image feature vector; inputting the text feature vector and the image feature vector into a Unet model through a cross attention mechanism; obtaining an eye opening degree adjustment parameter, and adjusting the output of the Unet model through a pre-trained LoRA weight; decoding a latent variable output by the Unet model to obtain an eye opening image; and splicing and fusing corresponding areas of the eye opening image and the original image to obtain an image generation result.

The invention discloses a living body detection method and system for a facial paralysis patient and a medium. The method comprises the following steps: acquiring a detection video of a user; face key point detection is carried out on each frame of image in the detection video, calculation is carried out based on a detection result, and an eye width-to-height ratio and a mouth width-to-height ratio corresponding to each frame of image are determined; performing independent blink detection on each eye based on a preset eye opening threshold and an eye width-to-height ratio corresponding to a plurality of frames of images in the video; performing mouth opening detection based on the mouth opening threshold and the mouth width-to-height ratio corresponding to each frame of image; the mouth opening threshold value is obtained by adjusting a preset mouth opening threshold value according to an average mouth width-to-height ratio of a plurality of previous continuous frame images in the detection video; and determining a living body detection result of the user according to the blink detection result and the mouth opening detection result. According to the embodiment of the invention, the living body detection passing rate of the facial paralysis patient can be effectively improved, and the method can be widely applied to the technical field of face recognition.

The invention relates to the technical field of medical instruments, in particular to a device for assisting upper and lower eyelids of a patient in closing, which comprises a glasses frame, glasses legs arranged on two sides of the glasses frame and a nose pad in the middle, and further comprises an eyelid fixing component mounted on the inner side of the glasses frame through a mounting frame, and a traction mechanism arranged in the mounting frame and used for fixing the eyelids. The traction mechanism is connected with the eyelid fixing assembly and is used for driving the eyelid fixing assembly to assist the closing and opening of the upper and lower eyelids of the patient, so that the problems that the existing device mostly adopts rigid fixation or continuous external force to assist the closing and opening of the upper and lower eyelids of the patient and cannot be dynamically adjusted along with the blinking action of the patient are solved; the closing and opening switching process of the eyelids of the patient is stiff, the cornea can be pressed due to too large instant tension during closing, the eyelids cannot be completely opened due to insufficient reset force during eye opening, the switching process is lack of natural buffering, and meanwhile, due to uncontrollable fixing force, the cornea cannot be completely opened. And falling-off is easily caused by sweat and expression activities.

A method for identifying margins in an eye opening includes capturing first data from a data signal based on edges in a data clock signal, capturing second data from the data signal responsive to edges in a phase shifted version of the data clock signal, iteratively increasing phase difference between the phase shifted version of the data clock signal and the data clock signal when the first data initially matches the second data until the first data differs from the second data, iteratively decreasing the phase difference between the phase shifted version of the data clock signal and the data clock signal when the first data initially differs from the second data until the first data matches the second data, and determining the margin of the eye opening when the first data begins to match the second data or when the first data begins to differ from the second data.

The device (1) is used to determine insomnia in a patient (8). It has a sensor unit (2) for recording at least one EEG measurement signal of a brain wave of the patient (8) and a control and evaluation unit (3) for evaluating the recorded EEG measurement signal. The control and evaluation unit (3) is configured to carry out an objective assessment routine and in doing so, for the subsequent recording of the EEG measurement signal, to give the patient (8) a stipulation to open his eyes for the duration of an eyes-open period and to close his eyes for the duration of an eyes-closed period, and then to initiate the recording of the EEG measurement signal during at least one eyes-open period and during at least one eyes-closed period. The control and evaluation unit (3) is further configured to perform an evaluation of the EEG measurement signal thus recorded and in doing so to extract from the EEG measurement signal at least one first partial measurement signal from the at least one eyes-open period and at least one second partial measurement signal from the at least one eyes-closed period, and to decide on the presence of insomnia if the at least one second partial measurement signal from the at least one eyes-closed period has a lower proportion of α waves than in a healthy individual.

The invention provides an endoscope sharing control method based on a human body signal and a game theory, and belongs to the field of medical instruments, and the endoscope sharing control method comprises the following steps: obtaining eyeball movement data; based on the eyeball movement data, determining eye movement control position data used for representing a manual control intention through gaze thermodynamic diagram analysis; based on the eyeball movement data, through quantitative analysis of sight, eye opening degree and pupil size, obtaining reference indexes used for representing intention integrating degree and manual control burden; machine control position data used for representing the expected moving distance of the endoscope are obtained by analyzing the position relation between a target object and the endoscope in an endoscope image, and the endoscope image is collected in real time through the endoscope; based on the machine control position data, the eye movement control position data and the reference index, determining shared control position data through a cooperative game strategy; movement of the endoscope is controlled based on the shared control position data.

A determining device has a processor configured to determine that a driver has dozed off when degree of eye opening of a left eye and degree of eye opening of a right eye of the driver are at or below a reference degree of eye opening and an absolute value of difference between the degree of eye opening of the left eye and the degree of eye opening of the right eye does not exceed a reference difference or determine that the driver has not dozed off when the degree of eye opening of the left eye and the degree of eye opening of the right eye are at or below the reference degree and the absolute value of the difference between the degree of eye opening of the left eye and the degree of eye opening of the right eye exceeds a reference difference during a determining period.

The utility model relates to the technical field of clothes, and provides a hat connecting structure and clothes, the hat connecting structure and the clothes are integrally connected, the hat connecting structure comprises a left hat piece, a right hat piece, a middle piece and a front piece, and the left hat piece is provided with a first opening at the eye position; a second opening is formed in the eye position of the right cap piece; the middle piece is connected between the left cap piece and the right cap piece, and one end of the middle piece is connected with a neck or a collar of the garment; the front piece is connected between the left cap piece and the right cap piece, and the front piece, the middle piece, the first opening and the second opening are connected and enclosed to form an eye opening; the front piece is arranged at the neck position of the garment. A full-wrapping cap connecting structure is formed by sewing a plurality of pieces, so that the protection performance and all-around wrapping on the head and the neck are achieved, the good windproof and sun-proof effects are achieved, meanwhile, the breathability is enhanced, the oppressed feeling is reduced, and the wearing comfort is improved.

An eyepiece shield (10, 10b) for a sporting optic (14, 14b), such as binoculars or a spotting scope, comprises an irregular frusto-conical shell (22, 22b) with a narrower end circumscribing at least one eyepiece hole (26), and a wider end circumscribing an oblong eye opening (30, 30b). The eye opening is non-parallel with the eyepiece hole, and has a concave profile with respect to at least one viewing axis (34) between the holes. The shell comprises a flexible and resilient, laminate material with different inner and outer layers sandwiching an intermediate foam layer. In addition, the shield comprises a fastener (114) with first and second fastener portions (118, 120) carried on opposite sides of the shell at the eye opening to closed the shield with the opposite sides of the eye opening folded in towards one another, and the fastener is fastened with the first and second fastener portions joined together.

The application belongs to the technical field of attention monitoring, and discloses an attention monitoring method, device, equipment and storage medium. The method comprises the following steps: when the use time length of a user is greater than a preset time length, collecting a face video of the user in a preset time period through a head-mounted device, and obtaining a face image in the face video; determining an eye position in the face image, and extracting eye information in the face image according to the eye position; determining eye opening and closing information of the user in the preset time period according to the eye information, and determining gaze information of the user in the preset time period; determining an attention monitoring result of the user based on the eye opening and closing information and the gaze information, and taking an intervention measure according to the attention monitoring result. In the above manner, an intervention measure can be taken in time when it is monitored that the user has attention dispersion.

A method for identifying margins in an eye opening includes capturing first data from a data signal based on edges in a data clock signal, capturing second data from the data signal responsive to edges in a phase shifted version of the data clock signal, iteratively increasing phase difference between the phase shifted version of the data clock signal and the data clock signal when the first data initially matches the second data until the first data differs from the second data, iteratively decreasing the phase difference between the phase shifted version of the data clock signal and the data clock signal when the first data initially differs from the second data until the first data matches the second data, and determining the margin of the eye opening when the first data begins to match the second data or when the first data begins to differ from the second data.

The invention discloses a portable infrared pupil instrument with an eyelid opening function and a pupil measuring method. The portable infrared pupil instrument comprises a gun-shaped pupil instrument body, and the pupil instrument body comprises a shell and a trigger installed on the shell; the eyelid opening structure is installed in the shell, the vertical guide frame and the transverse guide frame are fixed in the shell, the upper sliding block and the lower sliding block are arranged on the vertical guide frame in a sliding mode, the driving sliding block is arranged on the transverse guide frame in a sliding mode, and the two ends of the upper connecting rod are hinged to the upper sliding block and the driving sliding block respectively. The two ends of the lower connecting rod are hinged to the upper sliding block and the driving sliding block respectively, the driving end of the gear and rack transmission mechanism is connected with the driving sliding block, the input end of the gear and rack transmission mechanism is connected with the trigger, and the technical problems that in the prior art, operation is tedious, measurement results are greatly interfered by the environment, and the absolute size of pupils cannot be obtained are solved.

A head-mountable device renders a graphical user interface and causes user-interface changes responsive to facial expressions of a user. The device receives sensor data from user-facing sensor assemblies, including imaging of left and right eye regions, and eye-tracking data indicative of eye movement. The device derives eye-openness data for each eye from the sensor data, including measurements based on eyelid geometry. In response to a facial expression, the device causes a user-interface change that is conditional, at least in part, on the eye-tracking data and the eye-openness data. Facial expressions may include winking, blinking, and squinting. In some embodiments, the device determines an amplitude and / or duration of the facial expression and varies a magnitude or speed of the user-interface change based on the determined parameter(s), enabling text entry, selection, navigation, and manipulation of displayed objects and applications.

The utility model relates to an eye distraction structure which comprises a first distraction arm and a second distraction arm movably matched with the first distraction arm, arc-shaped pieces are fixedly arranged at one end of the first distraction arm and one end of the second distraction arm, and a distraction mechanism is arranged between the first distraction arm and the second distraction arm. One end of the first supporting arm and one end of the second supporting arm are rotationally connected through an adjusting mechanism, the first supporting arm and the second supporting arm can tend to be far away from each other through the opening mechanism, the eyes are opened through the two arc-shaped pieces, and the other end of the first supporting arm and the other end of the second supporting arm are rotationally connected through the adjusting mechanism. Meanwhile, under the matching action of the adjusting mechanism, the opening angle of the first supporting arm and the opening angle of the second supporting arm can be rapidly adjusted, the first supporting arm and the second supporting arm are locked after adjustment is completed, the angle between the first supporting arm and the second supporting arm cannot be decreased, and the working efficiency is greatly improved.

The present disclosure relates to a video generation method and apparatus, a device, and a storage medium. After acquiring one or more images to be processed, a plurality of target images having different degrees of eye opening are generated according to the images to be processed, and a video having a process of gradual eye change is generated on the basis of the plurality of target images.

The invention belongs to the technical field of online education, and discloses an interconnected education intelligent management cloud platform, which is characterized in that eye images of students are acquired, eye features are extracted and analyzed, and the eye opening degree is obtained; acquiring fixation duration data of the student, calculating a fatigue evaluation value in combination with the eye opening degree, and judging the fatigue degree of the student; performing fatigue identification division on the students, performing judgment on online education adjustment, and determining fatigue time points; and if the online education needs to be adjusted, determining the fatigue occurrence duration according to the fatigue time point, carrying out stable analysis, and adjusting the preset development duration of the online education, thereby solving the problem of eye fatigue of the students when the intelligent classroom education is developed, facilitating accurate comprehensive evaluation of the online education, and improving the experience of the students. And on-line education development is optimized through eye fatigue analysis of students during intelligent classroom education development, so that the on-line education quality is improved.

This application discloses a method, device, vehicle, and storage medium for vehicle safety alerts. The method includes: detecting whether the vehicle is in a preset safety alert condition; if the vehicle is detected to be in the preset safety alert condition, acquiring the vehicle's current speed and identifying the driver's line-of-sight pitch angle and eye opening; determining the driver's target distraction level based on the current speed and line-of-sight pitch angle, and determining the driver's target driving fatigue level using the current speed and eye opening; and issuing a safety alert to the driver using a first target alarm method corresponding to the target distraction level or a second target alarm method corresponding to the target driving fatigue level. This solves the problem in related technologies where indirectly detecting driver status through vehicle information has low accuracy and a high false alarm rate, reducing the precision of driver status detection and lowering driving safety, thus failing to meet users' driving needs.

Even when users experience virtual reality without using VR equipment, this enhances their sense of immersion in virtual reality. [Solution] The acquisition unit 112 acquires eyelid information indicating the movement of the user's eyelids. The display control unit 115 displays a display image on the display device 14, which is a superimposed image of a first image with a fixed display area and a second image that obscures at least a part of the first image. The area determination unit 114 determines the area obscured by the first image by the second image based on the eyelid information. The area determination unit 114 maximizes the area when the user's eyelids are closed and decreases the area after the first point in time when the user's eyelids begin to open.

Method for determining a center point (504) of an eye (202) of an occupant of a vehicle (100), the method comprising the following steps: Determining (803) reference pupil pixel coordinates (140) and reference eye angle pixel coordinates (142) using a reference image signal (110) representing a reference image (300) captured by a camera (106) of at least a portion of a face of the occupant exhibiting a reference head pose, wherein the reference pupil pixel coordinates (140) represent a position of a center point (504) of a pupil (506) of the eye (202) of the occupant in the reference image (300) and the reference eye angle pixel coordinates (142) represent a position (312) of an eye angle of the eye (202) of the occupant in the reference image (300);Determine (805) homogeneous reference pupil coordinates (144) in a camera coordinate system (120) of the camera (106) using the reference pupil pixel coordinates (140) and homogeneous reference eye angle coordinates (146) in the camera coordinate system (120) of the camera (106) using the reference eye angle pixel coordinates (142); Determine (809) reference eye angle camera coordinates (148) using the homogeneous reference eye angle coordinates (146) and an eye angle associated depth information (588), wherein the reference eye angle camera coordinates (148) represent a position (312) of the eye angle in the camera coordinate system (120);and determine (811) reference eye center camera coordinates (150) assigned by the reference head pose as the intersection of a reference vector formed from the homogeneous reference pupil coordinates (144) and the homogeneous reference eye angle coordinates (146) and a reference sphere, wherein a center of the reference sphere is defined by the reference eye angle camera coordinates (148) and a diameter of the reference sphere by a mean eye diameter of a human eye (202).

A liveness detection apparatus and method are provided. The apparatus captures a live image of a driver. The apparatus calculates an eye open duration of the driver based on the live image within a first time interval. In response to the eye open duration exceeding a first duration threshold, the apparatus executes a first confirmation operation to notify the driver to complete a liveness detection operation. In response to the first confirmation operation has been executed, the apparatus continues to calculate the eye open duration based on the live image within a second time interval. In response to the eye open duration exceeding a second duration threshold, the apparatus executes a second confirmation operation to notify the driver to complete the liveness detection operation.

The invention relates to the field of online learning monitoring, and discloses an online learning attention monitoring method based on real-time multi-modal feature fusion, and the method comprises the following steps: S1, starting a camera to collect a facial image of a student; s2, calculating the distance from the face of the student to the screen; s3, resolving a horizontal eyeball staring vector, a longitudinal eyeball staring vector and an eye opening and closing degree; s4, resolving to obtain a final horizontal eyeball staring vector and a final longitudinal eyeball staring vector; s5, obtaining a lecture attending state index based on a resolving result; and S6, according to the class attending state index, giving a prompt and a praise, and recording. According to the invention, the eye movement tracking and face orientation technology is combined, the eyeball staring vector and the face orientation vector are calculated, and the attention state of the student is accurately monitored. The attention change is objectively evaluated in real time, compared with traditional questionnaires or subjective evaluation, the problem of lack of objectivity and real-time performance is solved, the attention of students is timely fed back, and the learning effect is improved.

This invention discloses a method for identifying unipolar and bipolar depression based on deep learning-based multi-state EEG fusion, comprising: Step 1, performing continuous wavelet transform on EEG signals in open and closed states respectively to obtain open-eye time-frequency maps and closed-eye time-frequency maps; Step 2, using a deep learning model to extract features from the open-eye and closed-eye time-frequency maps obtained in Step 1 to obtain feature vectors for open-eye and closed-eye states; then, fusing the feature vectors in open-eye and closed-eye states to obtain a multi-state fused feature vector; finally, using a deep learning classification network to classify and identify the multi-state fused feature vector to obtain the identification result, thus completing the identification. This invention uses a deep learning model based on EEG signals to perform three-class classification identification of unipolar depression, bipolar disorder, and healthy individuals, improving classification performance.

The invention discloses a face dynamic feature detection method and system based on continuous frames. The method comprises the following steps: performing face detection on a preprocessed video frame by adopting a RetinaFace model of a quantized adaptive edge device NPU to obtain a face bounding box with the highest confidence coefficient; inputting the adjusted face image into the quantized PFLD model, extracting 98 key points and mapping the key points back to an original image space; eye and mouth key points are extracted according to a predefined index, and three sub-regions are obtained through minimum enclosing rectangle expansion cutting; inputting the sub-region images into a quantized ResNet binary classifier, and outputting eye opening and closing and mouth closing / yawning states; n frames of results are recorded through a sliding window, facial dynamic features and fatigue levels are judged according to a majority voting aggregation state, and finally the results are packaged into a JSON format and transmitted in real time through a UDP protocol. The method is light in weight, high in real-time performance, capable of accurately detecting the face dynamic features and adaptive to edge device deployment.

The present invention provides a trans-orbital electrical stimulation device, which relates to the field of electronic technology. The device includes: an electroencephalogram (EEG) signal collector, a controller, and an electrical stimulation signal generator, wherein: the EEG signal collector is connected to the controller, and is used to collect the patient's eyes-closed resting-state EEG signals and eyes-open resting-state EEG signals, and transmit them to the controller; the controller is connected to the electrical stimulation signal generator, and is used to obtain the patient's corresponding target alpha frequency based on the eyes-closed resting-state EEG signals and eyes-open resting-state EEG signals, and transmit it to the electrical stimulation signal generator; the electrical stimulation signal generator is used to generate a first alternating current (AC) stimulation signal based on the patient's corresponding target alpha frequency, and output the first AC stimulation signal to apply electrical stimulation to the patient's eye socket, thereby solving the technical problem in the prior art of how to generate appropriate AC stimulation signals for different patients.

The utility model relates to the technical field of toys, in particular to an eyelid and eyeball movable device and a toy, the eyelid and eyeball movable device comprises a supporting member, an eye assembly, a first driving device, a first transmission mechanism, a second driving device and a second transmission mechanism, and the eye assembly comprises an eyeball structural member and a first eyelid structural member; the first eyelid structural part is rotationally connected with the supporting component, the eyeball structural part is connected with the supporting component in a swinging mode, and the first eyelid structural part wraps at least part of the structure of the eyeball structural part; the first driving device drives the first eyelid structural member to turn over to open or close relative to the eyeball structural member through the first transmission mechanism; and the second driving device drives the eyeball structural member to rotate through the second transmission mechanism. The device can be particularly applied to toys, the eye opening or closing action can be achieved, the left-right rotation action of eyeballs can be achieved in the eye opening state, various states of the eyes can be achieved, and interestingness is greatly improved.

The embodiment of the invention discloses an encryption communication method of an active system and a storage medium, and is applied to the technical field of communication. In the encryption communication process between an active controller and receiving glasses, the active controller sends a dog feeding array in a specific time of a sending period of left and right eye opening and closing control signals instead of sending the dog feeding array in the whole sending period; and the receiving glasses perform safety inspection by inspecting whether the receiving time of the receiving dog feeding array is within a specific time, and when the receiving time is not within the specific time, the receiving glasses enter a standby dormant state. In the process, the dog feeding array is transmitted in a specific time, so that the security inspection difficulty of the receiving glasses is improved, and the security of encrypted communication between the active controller and the receiving glasses is improved to a certain extent.

The invention relates to the technical field of electrical variable measurement, in particular to an electronic equipment electrical performance testing device and method based on voltage signal processing. The method comprises the following steps: acquiring an eye pattern; processing the eye pattern to obtain a signal connected domain, and obtaining a shaking condition and an eye opening degree based on the signal connected domain and the eye pattern center opening area; acquiring a line in the circuit diagram, acquiring circuit complexity based on the area and the edge of the line, constructing a curve for eye diagram characteristics, and determining an accumulated residual value based on the difference between the curve and a fitting straight line; obtaining a change trend; screening standard points, and obtaining an unstable coefficient according to the variation trend difference of parameter iteration and the eye pattern feature difference to screen an optimal oscilloscope parameter; and carrying out performance test through the optimal oscilloscope parameters. The problem that the electrical performance of the equipment is poor due to the parameter setting problem of the oscilloscope during the electrical performance test is avoided.

The eye opening and closing detection device of the present invention obtains a first image including the face of a person photographed by a camera device; generates a second image including the person's eye area from the first image; binarizes the second image and generates a third image in which pixels with grayscale values ​​less than a threshold are represented by a first brightness value and pixels with grayscale values ​​above the threshold are represented by a second brightness value; judges whether the person's eyes are in an open state or a closed state based on the height of the third image and the maximum height at which the longitudinal distance between the upper pixel and the lower pixel in the first brightness area with the first brightness value is the maximum; and outputs information related to the judgment result.