66 results about "Eye opening" patented technology

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.

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.

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 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.

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.

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 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 present application relates to the technical field of functional woven fabric, in particular to a face-slimming beauty headgear and a weaving process for weaving the face-slimming beauty headgear. The face-slimming beauty headgear is an elastic fabric structure woven by an integrated weaving process. The face-slimming beauty headgear comprises a body matched with the head, the bottom of the body has a neck opening for wearing, the face of the body has a mouth and nose opening and two eye openings, the back of the body has a back opening, and the two sides of the body are provided with elastic stretch parts extending to the back of the brain. The face-slimming beauty headgear can form a covering effect on the whole head and face, prevent the irradiation of sunlight, protect the facial skin from external interference, and achieve the purpose of face slimming. The face-slimming beauty headgear utilizes the elastic stretch parts to stretch the facial muscles backward, so that the facial muscles can be relaxed and contracted backward at the same time, thereby achieving the purpose of face slimming. The face-slimming beauty headgear is convenient to wear and can be adjusted after being worn, and is suitable for different head shapes.

The present invention provides a mainband training method between a transmitter within a first die and a receiver within a second die, wherein the mainband training method comprises the steps of: setting, by the receiver, a valid framing criteria and a valid signal pass criteria, wherein the valid framing criteria is more lenient than the valid signal pass criteria; receiving, by the receiver, a valid signal from the transmitter, and determining if the valid signal satisfies the valid framing criteria; and if the valid signal satisfies the valid framing criteria, identifying, by the receiver, centers of eye opening of multiple data signal and the valid signal.

The invention discloses a neural feedback brain concentration state detection and adjustment method and system, and relates to the technical field of electroencephalogram signal processing and neural feedback. Acquiring original electroencephalogram signals of the target object in an eye-opening resting state and a target task state; performing noise suppression processing to obtain noise-reduced electroencephalogram signals, calculating full-band power spectral density data by adopting a Welch method, and extracting power information corresponding to a theta band and a beta band; calculating a single lead concentration index based on the power information of the two types of frequency bands, and determining a reference concentration threshold by combining quartile abnormal elimination and statistical operation; and circularly executing the signal acquisition and processing flow to obtain a real-time concentration index and verify the validity, comparing the real-time concentration index with a reference threshold value to generate a hierarchical adjustment instruction, outputting a matched audio-visual feedback signal to realize neural feedback adjustment, and dynamically calibrating the reference threshold value after preset training times are completed. The method improves the accuracy of concentration state detection and the pertinence of adjustment, adapts to different groups and scenes, and is high in practicability.

The invention discloses a special AI auxiliary device for fundus blood vessel anomaly detection, which comprises a base, a system terminal, a stand column, a lifting assembly, an anti-blink assembly, a sliding assembly, a cleaning assembly and a pressure assembly, and is characterized in that the system terminal is fixedly mounted on the base. Through an anti-blink assembly, after two curved groove blocks slide to the two ends of a hyperbolic rod respectively, a patient attaches the eyebrow bone to a gap in the hyperbolic rod, wears an elastic strap on the head, attaches an air support to the jaw through a lifting assembly, and then screws a second lead screw to enable a trapezoidal block to slide backwards, at the moment, the cambered surface of the support block descends along the inclined surface of the trapezoidal block, and the air support is fixed to the upper portion of the hyperbolic rod. When the head of a patient descends along with the air support, the double curved bars keep the eyelids at the eyebrow bones still, the downward movement of the head and the fixation of the double curved bars form relative displacement, so that the upper eyelids are stably pulled up, the eyelids are kept at the eye opening amplitude, the upper eyelids are prevented from naturally drooping or reflexively closing, and imaging missing or blurring caused by blinking and eyelid drooping is avoided; and the AI detection data is ensured to be complete and effective.

The invention relates to the technical field of robots, in particular to a humanoid robot face bionic driving structure with high-degree-of-freedom expression control, an eyebrow module and an eye module of the humanoid robot face bionic driving structure are both arranged on a fixing frame, a mouth module is arranged below the fixing frame, assembly is more convenient and faster, the space utilization rate is higher, and the maintenance cost is lower. A first movement device, a second movement device and a third movement device in the eye module are vertically and horizontally arranged in a staggered mode. The eyeballs are fixedly connected with the third movement device and can be controlled to rotate up and down and left and right. Eye corner connecting positions on one side of the lower eyelid and one side of the upper eyelid are rotationally connected to the supporting seat, and an eye corner on the other side of the lower eyelid is rotationally connected with an eye corner on the other side of the upper eyelid. The first movement device and the second movement device are matched to drive the upper eyelids and the lower eyelids to move up and down so as to open or close the eyes, so that the structural movement smoothness of the eyes is higher, and the movement of the eyes is more natural and vivid.

The utility model discloses a buttonhole opening device for garment processing. The buttonhole opening device comprises an operation table. A transmission mechanism is movably mounted on the surface of the operation table, a supporting frame is mounted at the position, located above the operation table and the transmission mechanism, of one side of the ironing mechanism, and a holing mechanism is mounted at the inner top of the supporting frame; the connecting spring, the pressing ring, the microswitch and the correlation type sensor are used in cooperation, when the hole opening mechanism moves downwards to conduct hole opening treatment on clothes, the pressing ring can be pressed on the surface of the clothes, the connecting spring is compressed, meanwhile, the microswitch is extruded, and an instruction can be sent to an external controller; the external controller controls the correlation type sensors to emit laser, it is indicated that the eye opening mechanism is working, when a person enters the area of the eye opening mechanism and the laser between the correlation type sensors cannot receive a signal, the device can control the eye opening mechanism to stop working and moving, and hand injury caused by later mistaken touch of the person is avoided; and the safety performance of the device can be improved.

The application relates to a driver driving state judgment analysis method and a judgment device, and belongs to the technical field of train driver driving state judgment. Through orderly cooperation between various devices, the action frequency detection device is set as a normally open device, the starting cost of which is extremely low, and the operation cost of traditional video image recognition is greatly reduced. Moreover, the action frequency detection device is used as the first-stage detection judgment, the seat stress detection device is used as the second-stage detection judgment, the face information recognition device is used as the third-stage detection judgment, and the eye opening degree recognition device is used as the fourth-stage detection judgment. Through the four-stage detection judgment, the judgment accuracy of driver fatigue driving can be further improved. Moreover, the various devices are cooperatively and orderly operated, are not all normally open, and cannot cause the devices to collect too much invalid data.

The utility model provides a kind of eye movable toy, including main body shell, face shell, button part, connecting rod assembly and eye component, face shell is fixedly installed in main body shell front, the face shell is provided with eye opening, and main body shell upper end is installed with button part, the button part passes through main body shell and is driven to be connected with the connecting rod assembly of being arranged in main body shell inside, and the connecting rod assembly output end is installed with eye component, and the eye component is directly opposite eye opening setting.The utility model can show different eye expressions by pressing button part, can improve the simulation degree and realistic effect of toy, and interactivity and interestingness are stronger.

The invention discloses a blink fatigue detection method and system based on deep learning, and the method comprises the steps: obtaining an eye image data set with an eye opening and closing state label, carrying out the preprocessing, and dividing a training set, a verification set, and a calibration data set; performing training and performance verification on the convolutional neural network model by using the training set and the verification set to obtain a blink detection model; the calibration data set is used for conducting INT8 quantification processing on the blink detection model, and the blink detection model is converted into a light-weight blink detection model and then deployed to an embedded device; taking a continuous video frame sequence which is acquired by a camera in real time and contains a face image as input data of a lightweight blink detection model for detection, and obtaining an effective blink frequency; the number of effective blinking times is counted, the blinking frequency in unit time is calculated, the blinking frequency is compared with a preset multi-level fatigue level threshold value level by level to determine the corresponding fatigue level, and whether the user is in a fatigue state or not is judged. According to the invention, blink fatigue detection can be efficiently and accurately carried out on low-power-consumption equipment.

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.

This invention relates to the field of fatigue driving detection technology and discloses a driver fatigue driving detection method based on two-stage detection and eye feature analysis. The method includes: acquiring a real-time video stream containing the driver's face; performing face and key point detection, accurately locating the face bounding box and extracting three-dimensional face key points; performing posture-adaptive eye feature analysis, calculating and comparing the aspect ratio of both eyes to determine the direction of face deflection and selecting the eye with the clearest features as the optimal analysis object for single-eye image cropping; inputting the cropped single-eye image into an image classification model to determine the eye opening and closing state; and finally, cumulatively calculating fatigue metrics such as the percentage of eyelid closure and blinking frequency per unit time, comparing them with preset thresholds to determine the fatigue state and output a warning. This invention overcomes interference caused by driver head deflection or partial occlusion by adaptively selecting the optimal single-eye analysis, improving the robustness and accuracy of fatigue detection in complex real-world driving scenarios.

This invention relates to the field of eye drop box technology, and more particularly to an eye drop box that facilitates the metering, collection, and application of eye drops. The technical solution includes: an eye drop box and an auxiliary eye-opening squeezing device. The auxiliary eye-opening squeezing device includes two frames respectively disposed on both sides of the eye drop box. The eye drop box contains an eye drop container, a flow guide, and a flow guide tube connected in sequence. The eye drop container includes an eye drop container with a plug inside. The flow guide and flow guide tube contain flow guide rods fixedly connected to the plug. A metering device is provided on the side of the eye drop box. This invention allows the metering device to observe the amount of eye drops, and the eyelid position can be fixed simply by operating the auxiliary eye-opening squeezing device. The entire process can be performed by elderly patients themselves, requiring only the operation of the auxiliary eye-opening squeezing device for eyelid fixation and eye drop application. Therefore, it is simple to operate, convenient to use, and easy to market.

The invention provides an electronic mask base body, an electronic mask monomer and an electronic mask product, and relates to the technical field of electronic masks, a forehead basic electrode of the electronic mask base body is arranged at a forehead motion point determined by referring to an eye opening, and a cheek basic electrode is arranged at a cheek motion point determined by combining a mouth opening and a nose opening. Through the implementation of the scheme, the optimally designed forehead electrode position and cheek electrode position accurately correspond to specific muscle movement points, micro-current can be conducted more effectively, neurons are fully activated, the beautifying effect is guaranteed, in addition, the current intensity needed by effective activation of the neurons can be reduced, and the effect of beautifying the human body is improved. The power consumption of the electronic mask product is reduced, and the facial pain and nerve injury risk of the user can be avoided due to proper output current intensity.