57 results about "Closed eyes" patented technology

Systems and methods for tracking the position and condition of an eye during an ophthalmic procedure include an ophthalmic device configured to measure characteristics of an eye, an eye tracker configured to capture a stream of eye images, and a logic device configured to analyze the stream of images to determine whether the eye is fixating on a target object, detect a predetermined blink sequence in the first stream of images, delay for a predetermined tear stabilization period, start a stable tear film interval, and during the stable tear film interval, capture at least one measurement of the eye using the ophthalmic device when the eye is fixating. The blink sequence may include a plurality of blinks in succession and the detection of the blink sequence may include processing the images through a neural network trained to detect an open eye and / or a closed eye.

A method includes receiving, by a processor, a video of an illuminated face. Video frames in the video are associated with different time instants of a time series, respectively. The method includes determining a region of interest (ROI) that includes a closed eye on the face based on at least one frame in a plurality of video frames in the video. The method includes slicing each ROI based on slice parameters for selecting a vertical slice that includes a eye centroid of the closed eye, and selecting a horizontal slice that intersects the vertical slice at a pivot (P) located lp pixels from the eye centroid. The method includes determining an eyeball motion signal according to the time series, based on a measured value of a shadow intensity of the eye within at least one of the vertical slice or the horizontal slice at each of the different time instants.

To provide a wearable device and a display method that changes the content to be displayed as a line of sight moves.SOLUTION: A wearable device includes: a display unit which displays a real-world image and an augmented reality image; a first detection unit which detects a line of sight and eye movement; a second detection unit which detects motion of the head; and a determination unit which determines whether the eye movement is synchronized with the motion of the head. When the device determines that the eye movement is not synchronized with the motion of the head, the display unit displays the augmented reality image. The wearable device includes a processing unit configured to select, when the type of the eye movement indicates closed eyes, an information item gazed, out of a plurality of information items, and start, when the type of the eye movement indicates wink, execution of processing on the selected information item.SELECTED DRAWING: Figure 17

The invention discloses a stranded rope and an inserting method thereof, and relates to the technical field of ropes, the stranded rope comprises a main rope, a closed eye ring and an inserting and weaving section, the main rope and the closed eye ring are connected through the inserting and weaving section, and the main rope, the closed eye ring and the inserting and weaving section are formed by weaving and twisting twelve strands. The number of the strands of the inserting section is still 12, so that the diameter of the inserting section is not greatly different from that of an original rope, and a pipa head is relatively small, so that the inserting section can adapt to the working condition with the aperture requirement and meet the passing requirement and is high in applicability, the twelve-strand rope formed after inserting is more attractive in appearance, raw materials are saved, and the production cost is reduced. The structure integrity and the mechanical performance of the twelve-strand rope are guaranteed, the stress of each rope strand of the inserting and weaving section is more uniform, and therefore the maximum bearing load is improved, the twelve-strand rope is firm, reliable, safe and durable, and the service life of the twelve-strand rope is prolonged.

The present invention belongs to the field of VR technology, and in particular, relates to a head-mounted display, including a face-sticking bracket, a shell and a mainboard assembly, wherein shell connecting arms rotatably connected to the face-sticking bracket are respectively provided on both sides of the shell, a lens is installed on the side of the shell close to the face-sticking bracket, and a display assembly is provided in the cavity surrounded by the shell; a visual window is provided on the face-sticking bracket at a position corresponding to the lens, and a visual sensor for detecting the state of the user's eyes is provided on the face-sticking bracket; and a power device for driving the shell to rotate relative to the face-sticking bracket is also provided, and the visual sensor and the power device are both electrically connected to the mainboard assembly. The time interval of closing the eyes can be detected by the visual sensor, thereby sending an electrical signal to the mainboard assembly, and then the mainboard assembly sends a control signal to start working to the power device, and the power device drives the shell to rotate relative to the face-sticking bracket to realize the opening and closing of the head-mounted display, so there is no need to frequently wear and take off the head-mounted display.

1. The name of the design product: game machine joystick protective sleeve (closed eyes teeth). 2. The use of the design product: protect the cleanliness and neatness of the joystick and the wear resistance and slip resistance of the joystick. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: front view.

The eyelid massager 100 comprises: a handle 102 having a free end 104; and a roller 106 pivotally connected to the free end of the handle. The roller 106 is dumbbell-shaped, the curvature of the outer surface of the roller being matched to the curvature of the closed eye of the user such that during a massage action, the roller 106 comes into contact with the eyelid along the entire length of the eye to press a plurality of meibomian glands associated with the eyelid, promoting release of occluded grease. The handle 102 is Y-shaped 200 at the free end 104 to pivotally retain the roller 106 at both ends 204 by a pair of inwardly extending pins 202 that engage a pair of holes provided on the roller 106. The roller 106 is made of silicone rubber and a curved portion of the outer surface has a plurality of ribs 208.

An eyelid massager 100 includes a handle 102 having a free end 104, and a roller 106 pivotally coupled thereto. The roller 106 is dumbbell shaped having a curvature on an outer surface that matches curvature of a closed eye of the user, such that the roller 106 makes a contact with eyelids along an entire length of the eye during a massaging action, to press a plurality of meibomian glands associated with eyelids, facilitating release of clogged oils. The handle 102 is Y-shaped 200 at the free end 104 to pivotally hold the roller 106 at two ends 204 through a pair of inward extending pins 202 that engage with a pair of holes provided on the roller 106. The roller 106 is made of silicon rubber, and the curvature of the outer surface having a plurality of ribs 208.

In a traditional classroom setting a teacher is present to monitor the student and their behavior. With virtual classrooms becoming more common, and parents often required to be physically present at their jobs or other engagements, students are often home alone. A teacher conducting a virtual class may not notice when a student closes their eyes, leaves, or performs other undesired actions. By providing the students with a full two-way communication with their teacher, the student is presented with a lesson and classroom activities. By providing a parent or other authorized person with a feed signal that excludes children that are not their own, the parent may remotely monitor the student, such as to ensure the student is attentive to their teacher or otherwise not engaged in any undesired activities.

A system and method for combining short-wave infrared (SWIR) imaging with image processing algorithms to measure pupil size dynamics in closed eye conditions, either in response to an external stimulus (such as light-induced PLR) or occurring spontaneously during sleep or anesthesia. The system, with deep learning-based analysis, can further estimate gaze direction during eye movements and achieve robust pupillometry. The system has at least one electromagnetic radiation source for radiating electromagnetic energy in a spectral range of 700 nm to 2,000 nm, and an imaging device for detecting electromagnetic energy and sending image data to a processor which performs algorithmic and deep- learning based analysis of image data to continuously track changes in pupil diameter and gaze direction over time.

The invention relates to the technical field of image analysis, in particular to an anesthesia post-operation pain assessment method in combination with facial expressions of a patient. An optical flow method is adopted to analyze pixel motion of a facial image, optical flow vectors and information points are obtained, and facial expression changes are quantitatively captured. In view of information point validity differences, facial feature points are screened to reduce data redundancy. And in consideration of the facial structure difference of the patient, the traction characteristics of the optical flow vector are analyzed, and the traction direction of the image block is determined. Pain expressions such as eye eyebrow closeness and the like can be represented by the traction direction. By analyzing the distribution confusion degree and difference in the traction direction, the facial pain index is determined, and accurate reference is provided for pain assessment. And finally, screening a data set based on the facial images of multiple patients and pain indexes, training a neural network, and establishing a mapping relation between facial expressions and pain degrees. According to the method, the pain assessment accuracy is improved, the assessment efficiency is also remarkably improved, and automatic pain assessment of the facial image of the patient to be tested is realized.

This invention relates to the field of intelligent driving assistance technology, specifically disclosing a driver state monitoring system based on intelligent image recognition. Built on a Raspberry Pi embedded platform, it includes a video acquisition module, a core algorithm processing module, and a peripheral control module. The video acquisition module is compatible with USB or CSI cameras, acquiring and preprocessing driver facial images. The core algorithm processing module incorporates a lightweight facial key point detection model to extract facial features and identify dangerous behaviors such as closed eyes and head tilting, and features a feature calibration and fatigue grading mechanism. The peripheral control module connects to alarm and display components, triggering corresponding warning actions and can be expanded to include multiple alarm methods. The system can also track continuous driving time and expand remote monitoring functionality. This invention features low hardware cost, low power consumption, convenient deployment, fast edge-side inference response, and accurate monitoring. It is adaptable to multiple scenarios, requires no manual intervention, comprehensively prevents fatigue driving, and is easy to deploy on a large scale.

A method includes receiving, by a processor, a video of an illuminated face. Video frames in the video are associated with different time instants of a time series, respectively. The method includes determining a region of interest (ROI) that includes a closed eye on the face based on at least one frame in a plurality of video frames in the video. The method includes slicing each ROI based on slice parameters for selecting a vertical slice that includes a eye centroid of the closed eye, and selecting a horizontal slice that intersects the vertical slice at a pivot (P) located lp pixels from the eye centroid. The method includes determining an eyeball motion signal according to the time series, based on a measured value of a shadow intensity of the eye within at least one of the vertical slice or the horizontal slice at each of the different time instants.

The invention discloses a fatigue driving detection and accident early warning system based on a YOLOv12 and DeepSeek large model, and the system comprises a data collection module which is used for collecting a face image and a video stream of a driver, and constructing a data set; and the model training module is used for outputting a high-precision weight for the fatigue detection module to call based on the YOLOv12 framework training data set. The fatigue detection module is used for analyzing facial features (such as eye closing duration, yawn frequency and head posture) of the driver in real time; the early warning prompt module is used for triggering voice early warning according to the fatigue index threshold value; the AI large model analysis module is used for inputting the continuous behavior feature sequence into a DeepSeek large model for fatigue state evaluation and risk prediction and generating an evaluation report; and the analysis report pushing module is used for encrypting and pushing the fatigue state evaluation report. According to the invention, closed-loop management of monitoring-analysis-early warning-feedback can be realized, fatigue state identification, risk early warning and driving behavior analysis can be automatically completed, and the occurrence rate of traffic accidents caused by fatigue driving can be effectively reduced.

The present application relates to the field of medical care informatics, and in particular to a method for determining the state of a drug-dependent person. It includes: obtaining an infrared image of a preset body position of a drug-dependent person; obtaining an infrared norm deviation according to the infrared image and a norm database; obtaining the physical fitness deviation of the drug-dependent person, which is obtained according to the BMI index deviation, body fat rate deviation, vital capacity deviation, closed-eye one-leg standing time deviation, grip deviation and reaction time deviation; obtaining the mental health deviation of the drug-dependent person, which is obtained according to the anxiety deviation, depression deviation, drug dependence deviation and psychological defense deviation; obtaining the overall deviation of the drug-dependent person according to the infrared norm deviation, physical fitness deviation and mental health deviation of the drug-dependent person, and then determining the state of the drug-dependent person. The present invention can determine the state of a drug-dependent person.

The application relates to the technical field of brain detection, and particularly discloses a test auxiliary system and method for brain diseases, wherein the system comprises an automatic control module, a light source control module and a data synchronization module. The automatic control module is used for inputting an open-closed eye test rule, converting the open-closed eye test rule into a light period control rule, and generating an open or off light instruction according to the light period control rule. The light source control module is used for controlling the switch state of an access light source according to the open or off light instruction, so as to simulate an open eye state and a closed eye state. The data synchronization module is used for acquiring environment brightness data and light source switch state data, and is also used for acquiring an electroencephalogram from an electroencephalogram test device and generating a visual report of the open-closed eye test. The technical scheme of the application can effectively solve the problem that a patient with a brain problem found in a nuclear magnetic resonance examination does not cooperate in an open-closed eye test, and improve test accuracy.

The application relates to a line-of-sight calibration, motion tracking and precision testing method based on adaptive time sequence analysis prediction, which specifically comprises the following steps: through image color recognition technology, color blocks and calibration point positions in a screen are recognized in a scene image, the actual size of the screen is combined, and the screen position is roughly positioned; distortion calibration is carried out based on the calibration point information, the screen position is precisely positioned, and the mapping relationship between the scene image and the precisely positioned screen is determined; eye control type nine-point calibration is carried out, the mapping model of the eyeball physical information and the gazing space position of the tester is determined, the screen gazing point coordinates are obtained in combination with the mapping relationship; line-of-sight positioning precision quantitative testing is carried out; through an adaptive time sequence analysis prediction algorithm, the current line-of-sight positioning is optimized and the future gazing point position is predicted in combination with historical line-of-sight information, meanwhile, the parameters in the time sequence analysis prediction algorithm are adaptively adjusted according to real-time precision or the intensity of shaking; through an eye state detection algorithm, the state of the human eye in the open and closed eye state is detected, and eye movement control is carried out.

The invention discloses a pupil diameter automatic detection method based on infrared imaging. The pupil diameter automatic detection method comprises the steps that an eye image is collected; acquiring a grayscale image of the eye of the eye-closed patient by using infrared imaging equipment; preprocessing the image; performing size unification and normalization processing on the acquired infrared eye image to obtain a standardized input image; pupil segmentation; inputting the preprocessed image into an image segmentation network based on deep learning, and outputting a binary mask image of the pupil region by the network; acquiring a mask pixel area of the binarized mask image, and converting the mask pixel area into an equivalent diameter of a pupil region; and carrying out visual output on equivalent diameter data and other related image features of the pupil region in the adopted period. The method is high in speed and uniform in measurement standard, and human differences are reduced.

The present invention discloses a control method for an eye massager, wherein the eye massager comprises a body, a first massage area and a second massage area are arranged on the body, a first massage component is arranged on the first massage area, and a second massage component is arranged on the second massage area, wherein the method comprises the following steps: obtaining an eye-opening signal detected in real time; judging whether the eye-opening signal satisfies a preset massage component adjustment condition; and controlling the massage component to adjust if the preset massage component adjustment condition is satisfied. An eye massager is also disclosed. The control method for an eye massager and the eye massager provided by the present invention control the corresponding first massage component or second massage component to exhaust air by obtaining whether the eye is in an open state or a closed state, thereby reducing the pressure of the first massage component or the second massage component on the eye and improving the user experience.

The embodiment of the present invention discloses a pupil trajectory generation method based on human eye video, including step 1: coarse filtering each frame image, performing the first morphological filtering, and eliminating the white spots formed by infrared light irradiating the pupil; step 2: calculating the minimum grayscale average value of each frame image, judging whether it is a valid frame according to the minimum grayscale average value, and taking the threshold if it is; step 3: performing binarization processing; step 4: performing the second morphological filtering again, removing eyebrows and small skin pigment areas, and filling the binarized pupil area; step 5: using the Laplace operator to perform edge detection to obtain the outline of the pupil; step 6: calculating the lower pole of the pupil. The present invention can effectively process frames with A>S×10%, and the frames that cannot be processed are basically closed eyes or blurred pupils; the present invention can generate more stable and accurate eye movement trajectories.

To provide a patient guiding trigger of measurement for an ophthalmic diagnostic device.SOLUTION: A system and method for tracking a position and state of an eye during an ophthalmic procedure include: an ophthalmic device configured to measure characteristics of the eye; an eye tracker configured to capture a stream of images of the eye; and a logic device configured to analyze the stream of images to determine whether or not the eye is fixating on a target object, detect a predetermined blink sequence in a first stream of images, delay a predetermined tear stabilization period, initiate a stable tear film interval, and capture at least one measurement result of the eye with the ophthalmic device when the eye is fixating during the stable tear film interval. The blink sequence may include a plurality of continuous blinks, and detection of the blink sequence may include processing of the image through a neural network trained to detect open and / or closed eyes.SELECTED DRAWING: Figure 2

1. The name of the design product: handicraft (solar energy sitting high-land bull head top ball - closed eyes). 2. The use of the design product: for viewing, decoration. 3. The design features of the design product: in shape. 4. The picture or photo that best indicates the design features: perspective view.

The bus driver fatigue parameter compensation and double-track parallel detection method comprises the following steps: S1, labeling the eye blinking and yawning image data of the driver; S2, calculating the frame number of the bus driver closing eyes and opening mouth in the front face state by using a face key point algorithm, and comparing with the current data preprocessing method, and compensating according to the ratio; S3, double-track division of the fatigue state time sequence; after the image frame is detected according to the time sequence, the detection results of each area are output, and the complete time segment results are divided into double-track time sequence according to the vehicle speed and vehicle condition; S4, setting the double-track early warning mechanism of the fatigue state time sequence; the analysis data includes the eye blinking frame number, eye blinking frequency, mouth opening frame number and yawning frequency; the perclos eye The ratio of the number of closed eye frames to the total number of frames in a calculation unit can reflect the ratio of the eye closure duration to the detection time and the fatigue state of the driver.

The embodiment of the present invention discloses a method for identifying nystagmus type based on optical flow method, including: step 1: collecting nystagmus video of the patient through an infrared camera; step 2: extracting video frames of the nystagmus video every other frame; step 3: removing the closed-eye frames; step 4: using the transfer learning method to segment the iris part of the retained video frame; step 5: calculating the optical flow of continuous video frames, and cropping to obtain an optical flow map; step 6: inputting the obtained optical flow map into the trained ResNet+LSTM network model in sequence, and automatically identifying the nystagmus type through the network model. The present invention combines the optical flow method and deep learning to identify the nystagmus type, and can effectively and accurately identify rotational nystagmus.

Vigilance level assessment device, comprehensive a portrait acquisition component for acquiring a portrait, which is an image taken of the face of an occupant of a vehicle, an eye opening degree calculation component that calculates the eye opening degree of the occupant based on the portrait, an open / closed eyes assessment component that evaluates whether the eye opening level is less than a predefined threshold or not, a smile assessment angle calculation component that, based on the portrait, determines the positions of both corners of the mouth and the midpoint of both inner corners of the eyes of the occupant, and calculates a smile assessment angle as an angle from a straight line connecting one corner of the mouth and the midpoint of both inner corners of the eyes, and a straight line connecting the other corner of the mouth and the midpoint of both inner corners of the eyes. a smile assessment component that assesses whether the occupant is smiling or not based on the smile assessment angle, and an alertness level assessment component that assesses a decrease in the inmate's alertness level when the eye opening level has become less than a threshold, and it has also been assessed that the inmate is not smiling.

The present application relates to the technical field of image processing, and discloses an image processing method, a device, a storage medium, and a program product. The image processing method comprises: if a portrait to be processed that meets a processing condition (for example, having a feature that affects image aesthetics, such as closed eyes) is present in an image to be processed, acquiring a facial feature of said portrait, and selecting, from an image library, a reference image that has high similarity to the facial feature of said portrait and compensates for said image defect (for example, a reference portrait having the same facial appearance as said portrait and having open eyes); and then performing image restoration on said image on the basis of the reference image to obtain a target image that have overcome said image defect, for example, replacing the part of said image that affects image aesthetics with the corresponding part in the reference image. In this way, the overall aesthetics of the image can be improved, facilitating the improvement of visual experience of a user viewing the target image.

The embodiment of the invention provides a photographing processing method and a related device, in the method, a to-be-processed image and a reference image can be determined from multiple frames of images collected by electronic equipment, a first person in the to-be-processed image has eye flaws, and a first person in the reference image does not have eye flaws; eye flaws of the first person in the to-be-processed image are improved based on the reference image, and image features outside the eye area of the first person in the to-be-processed image are reserved. Therefore, eye flaws such as eye closing and strabismus in a multi-person group photo scene can be effectively improved, photographing effects such as face illumination, expression and body posture of the processed person can be reserved, and the image processing effect is more natural.

A system for acquiring, identifying and processing images and soft biometrics includes an image acquisition device, a pan-tilt device, a speaker for audio feedback, and a microphone for voice acquisition, all of which are controlled by a computing device. Image acquisition is enhanced by detecting image focusing, facial recognition matching, detecting the number of objects and unwanted objects, and checking cropped images, including detecting whether eyes and mouth are open or closed, detecting red eyes, detecting background color, detecting lighting conditions, and detecting the positions, postures and expressions of the objects. Soft biological features are also identified, tailored, and classified, including scars, markers, and tattoos.