29 results about "Closed eyes" patented technology

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.

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.

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 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.

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.

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.

The application discloses a meditation posture adjustment method based on a light neural network and an acoustic sense, and has the characteristics that the method specifically comprises the following steps: collecting real-time video data in a user's meditation process, detecting and extracting features of human body skeleton key points of an image by using a light neural network model, analyzing key point position information to calculate the deviation of a current posture from a standard meditation posture, matching corresponding voice action instructions according to the deviation type, playing voice guidance to guide the user to adjust the body action in real time, and cyclically monitoring the posture change and dynamically updating the voice feedback until the posture is corrected. The application effectively reduces the calculation complexity of the model to adapt to mobile terminal deployment, and innovatively uses voice instructions to replace visual feedback, solves the pain point that the user needs to open eyes to confirm the posture in the meditation process and destroys the immersion, realizes real-time and accurate posture correction in a closed eye state, and has good application prospect.

A method and a monitoring device determine a binary eye state of a person. In the process, a monotonically decreasing slope with at least one specified minimum height is determined in a time curve of an eyelid gap which is determined in a camera-based manner. A current transition threshold for a change between an open and a closed eye is determined as a specified percentage value of the distance between the average value of a number of starting points of decreasing slopes and an average value of a number of corresponding end points. The eye is detected as being closed if the current eyelid gap is smaller than the current transition threshold. A monotonically increasing slope in the eyelid gap curve which has at least one specified minimum height is determined starting from the last end point. The eye is detected as being open if an end of the current increasing slope has been reached.

Disclosed is a soft contact lens, especially a soft contact lens formed of a material having a Young's modulus ("E") value in the range 0.8 – 3.0 MPa, adapted for use in orthokeratology such that, in use, when the contact lens is worn and the wearer closes their eye, the contact lens exerts a pressure on the eye having a distribution profile in which the pressure on the cornea is relatively high in a central zone of the cornea and is relatively low in an intermediate zone of the cornea outside of, but substantially adjacent to, the central zone, the contact lens comprising, sequentially, from the centre of the lens outwards: a) a central portion which contacts the central zone of the cornea; b) an intermediate portion which overlies the intermediate zone of the cornea, at least part of the intermediate portion having a radius of curvature which is smaller than the radius of curvature of the intermediate zone of the cornea; and c) a peripheral portion, which contacts at least part of a peripheral zone of the cornea, which peripheral zone is outside of the intermediate zone.

The utility model discloses a BJD (ball joint doll) doll head shell structure comprising independent opening and closing eyelids and a detachable eye piece assembly, and belongs to the technical field of toy dolls, namely a ball joint doll. Holes are formed in the eyes of an existing BJD doll head shell without eyelids. A pair of pivot seats is arranged on the inner side of the face shell, the middle pivot seat is used for fixing inner pivots of the eyelids, the left pivot seat and the right pivot seat are used for fixing outer pivots of the eyelids, the eyelashes are located below the eyelids and clamped in eye frames of the face shell to limit turning of the eyelids, the turning angle is right between the eye closing state and the eye opening state, and the left eyelids and the right eyelids are independently controlled to be opened and closed around the axes. The eye sheet is fixed on the eye sheet plate, and the eye sheet plate is detachably mounted at the insertion position on the eye sheet baffle; the eye sheet baffle is inserted into the anti-rotation positioning groove through the positioning column and is inserted into the face shell; the eyelids of the BJD doll can be independently opened and closed, the eyelids can be quickly replaced, and the BJD doll is adaptive to diversified head shell designs.

The invention discloses an image processing method and device, electronic equipment and a computer readable medium, and relates to the technical field of computers.The method comprises the steps that eye opening and closing recognition operation is executed on multiple continuous to-be-processed images corresponding to a target user, and an eye closing image and an eye opening image of the target user are obtained; performing fuzzy detection and quality detection on the eye closing image and the eye opening image; and under the condition that the fuzzy detection result and the quality detection result of the eye closing image and the eye opening image are both passed, performing replacement operation on a human eye area of a to-be-adjusted face image of the target user by using a specified image to obtain a replacement image. Therefore, by performing fuzzy detection and quality detection on the eye closing image and the eye opening image obtained by recognition, the quality of subsequent replacement images can be ensured.

The application provides a front segment eye movement tracking method and device and electronic equipment, relates to the technical field of eye movement tracking, synchronously collects a pupil diagram and an OCT structure diagram, and proposes a comprehensive eye movement tracking strategy considering pupil center offset and the OCT structure diagram, ensures that in the process of optical coherence tomography imaging, even if eye movement or blinking occurs, high-quality image acquisition can be maintained, and the uniformity of orthoview cross-sectional images is improved. Corresponding compensation measures are implemented on the fundus structure diagram based on a preset pupil center offset threshold, the requirement of the system on extremely high real-time performance is reduced, a wider hardware platform can support efficient eye movement compensation. In the OCT acquisition process, the image is dynamically monitored, the eye movement or closed eye condition can be synchronously evaluated, the data collected each time is ensured to meet the preset quality standard, the consistency and reliability of the whole imaging process are improved, and clear and accurate OCT images can be obtained regardless of the change of the patient state.

The invention discloses a dynamic weighting method for face quality evaluation based on task semantic driving, which comprises the following steps: performing multi-dimensional quality analysis on a to-be-evaluated face image, and extracting nine original scores including the number of faces, secondary copying, overexposure / too dark, blurring, occlusion / incomplete, non-crown-free, posture, eye closing and strabismus; the method comprises the following steps of: mapping a category label or a natural language description of an application scene (such as identification photo auditing, face payment and the like) into a high-dimensional semantic vector through a task semantic encoder; inputting the vector into a dynamic weight generation network, and adaptively outputting a weight coefficient corresponding to each quality dimension to realize sensitivity adjustment of alignment with a service target; and calculating a comprehensive quality score through weighted fusion and applying the score to business decision. According to the method, an end-to-end driving mechanism from task semantics to quality evaluation weight is constructed for the first time, so that a single universal model can flexibly adapt to various heterogeneous scenes, and manual weight configuration or repeated training of a special model is not needed.

The application discloses a kind of based on brain-heart coupling feature's children hyperactivity autism comorbid auxiliary evaluation system, comprising: signal acquisition module, for synchronous acquisition of the subject under the two resting states of open eye rest and closed eye rest Electroencephalogram and electrocardiogram signal;Signal pre-processing module is used to filter and artifact removal to the collected electroencephalogram, and R wave detection and marking are carried out to electrocardiogram;Heartbeat evoked potential feature extraction module is used to extract heartbeat evoked potential feature;Heartbeat evoked brain network feature extraction module is used to construct heartbeat evoked brain network based on the functional connection change in R wave before and after time window, and graph theory feature is extracted;Auxiliary evaluation module is used to output the auxiliary evaluation result of brain-heart coupling state based on heartbeat evoked potential feature and graph theory feature.Using the application, the objective auxiliary evaluation of children attention deficit hyperactivity disorder comorbid autism spectrum disorder related brain-heart coupling abnormality can be realized.

The invention relates to the field of rehabilitation training, in particular to a cognitive impairment rehabilitation training prompting instrument. The invention provides a cognitive impairment rehabilitation training prompting instrument which can fully and effectively enhance the memory of a patient and improve the cognition of the patient. A cognitive impairment rehabilitation training prompting instrument comprises a base, a shell and the like. A shell is placed on the base. During training, a patient closes eyes, when a nurse shouts out numbers, the patient puts hands into the shell, when the number shouts out by the nurse is counted, one spherical handle is pressed down, so that one character block moves downwards, and the nurse can see whether the number on the character block is correct or not through the groove in the shell; a patient carefully listens to digits shouted by nursing personnel to improve concentration, and then finds the corresponding spherical handle according to the shouted digits, so that the thinking power of the patient is exercised, and the effects of enhancing memory and improving whole cognition are fully and effectively achieved.

The invention relates to driver monitoring, in particular to a dynamic monitoring and early warning method for a forklift driver, and the method comprises the steps: collecting face images and respiratory waves of the driver, and filtering the face images to obtain a qualified image group; key points of the face images in the qualified image group are extracted, the two-eye state of the driver is judged, if the two-eye closing duration exceeds a time threshold value, early warning is directly carried out, and otherwise, the next step is carried out; judging the human eye length-width ratio and the blinking frequency of the driver according to the key points of the face image; judging the mouth state and the mouth opening angle of the driver according to the key points of the face image; processing the collected respiratory waves, and obtaining respiratory wave evaluation parameters; inputting the two-eye state, the human eye length-width ratio, the blinking frequency, the mouth state, the mouth opening angle and the breathing wave evaluation parameters of the driver at the current moment into a driver state monitoring model; the method can overcome the defect that the fatigue degree of the driver is difficult to comprehensively and accurately reflect, so that early warning cannot be timely and effectively carried out.

This video streaming service aims to provide high-quality still images (photographs) that are unaffected by the viewer's internet connection environment, and that do not include any misfires regardless of the shutter timing. [Solution] Because still images are output based on high-quality video data captured and edited, the shutter output will not be a low-resolution image like a screenshot. Furthermore, a still image for the shutter is prepared in advance by removing any mis-shots from multiple still images composed based on a predetermined frame rate, so that the still image written in response to the shutter operation does not include images with closed eyes or other imperfections. Therefore, even amateur viewers who do not possess the shooting skills of a professional photographer can obtain still images (photographs) without mis-shots, and only still images permitted by those managing the copyright of the subject images can be provided to the viewer.