20 results about "Eyelid closure" patented technology

The invention provides a driving behavior intelligent identification method and system based on video analysis, and the method comprises the steps: obtaining a driver face video stream and a road environment video stream collected by a vehicle-mounted camera, and reading the driving information recorded by a whole vehicle communication network; recognizing an eyelid closing state, a sight line direction and a head posture in the driver face video stream based on a posture recognition model, and performing fatigue distraction analysis to obtain driver state information; performing motion trail analysis on the road environment video stream and the driving information, and performing driving risk assessment in combination with the driver state information to obtain driving assessment information; and performing early warning construction according to the driving evaluation information, generating early warning prompt information, and synchronously writing the early warning prompt information, the driving evaluation information and the driver state information into a safety data protection memory. The fatigue and distraction states of the driver can be recognized more accurately, and the accuracy of state judgment is improved.

The invention relates to the technical field of screen display adjustment and visual health protection, and discloses a screen color temperature intelligent adjustment method and system, and the method comprises the steps: obtaining a user face image sequence and ambient light perception data; according to the face image sequence, eye features are extracted, a dynamic change trend is analyzed, blinking frequency and eyelid closing duration data are calculated, and a visual fatigue evaluation value is obtained; according to the ambient light sensing data and the visual fatigue evaluation value, correcting the fatigue degree and classifying fatigue stages to obtain color temperature and brightness adjustment parameters; and transmitting the adjustment parameter to a screen display driver for gradual change processing to obtain a final screen display configuration. According to the method, personalized accurate adjustment of the screen parameters is realized, visual fatigue is effectively relieved, and the use experience and the visual health protection effect are improved.

The invention discloses a neurological critical patient eye moisturizing nursing device which comprises an intelligent control host and an eye nursing unit, the host is placed beside a sickbed, an output pipeline of an atomization generation module in the host penetrates through a cabinet body, extends to a mounting plate and is communicated with an eye cup, the module is electrically connected with a central control module, and atomization starting and stopping and atomization amount adjustment can be achieved; and a built-in sensor acquires operating parameters and transmits the operating parameters to the monitoring module, so that a basis is provided for regulation and control. The eye nursing unit comprises a mounting ring with a first plastic connecting piece, an eye cup and a nursing executing mechanism, a mounting plate of the executing mechanism is fixed through a threaded column, a slidable sliding block driven by a gear and a motor is arranged at the lower end of the plate, and a second plastic connecting piece connected with the sliding block is matched with a silica gel protecting sleeve and can force eyelids to be closed. The electric push rod can adjust the distance between the side plates to adapt to different patients. The device is high in adaptability, can maintain cornea moist, remarkably reduces the incidence rate of keratitis and corneal ulcer, and is suitable for intensive care scenes.

The present application relates to the field of vehicle electronic control and active safety technology, and proposes a kind of vehicle driver incapacitation emergency control system and method.It includes: through driver monitoring camera and processing unit, based on eyelid closure degree and driving operation signal joint determination driver incapacitation, automatically trigger emergency response state;In response to the state, wake up forward perception unit to identify lane line and shoulder area;Local decision unit executes a finite state machine, sequentially executes lighting double flash warning light, speed gradually reduces and lane keeps based on lane line detection, and after vehicle speed reduces to threshold, guide vehicle to right side safe shoulder lane change and brake parking, while sending alarm message to terminal server in parallel to prepare subsequent remote manual takeover.The present application can fundamentally solve the timeliness and reliability problem of emergency control after driver sudden incapacitation without relying on driver active operation and remote communication large cycle, and can be deployed only with low-cost embedded hardware.

The application discloses a adjustable eyelid closure fixing patch with observation ports, which comprises a base, two observation windows arranged in the middle of the base, two sliding channels arranged on one side of the base and a pneumatic transmission assembly. When in use, the integrated structure of pneumatic linkage and connecting rod transmission is combined to realize the whole process of patch pushing, automatic alignment and rolling compression by pressing the handle, which is simple and efficient to operate. The precise plug-in structure of the elastic boss and the socket solves the problems of traditional patch alignment misalignment and observation window deviation. The observation window can be used to monitor the eye condition in real time. The mushroom-shaped micro-column dry adsorption structure at the bottom of the lower eyelid patch does not need glue to paste, does not hurt the delicate skin of the eye and has no risk of allergy. The fixing is firm and does not fall off. The pneumatic transmission has a flexible buffering effect, the eyelid closure tightness can be flexibly controlled by adjusting the pressing force of the handle, and the rigid compression damage to the eye tissue is avoided.

The invention relates to the technical field of brain wave scanning monitoring, in particular to a brain wave scanning user eyelid state recognition method and device, equipment and a storage medium. The method comprises the following steps: responding to brain wave scanning task triggering, and continuously obtaining a user face image; performing feature collection on the user face image to obtain an eyelid feature coordinate pair and a reference feature coordinate pair; determining a reference feature spacing value based on the reference feature coordinate pair, and determining an upper and lower eyelid spacing value of the current detection single eye based on the eyelid feature coordinate pair; combining the upper and lower eyelid spacing value with the reference feature spacing value to obtain a normalized spacing value corresponding to the current video frame; judging whether the normalized interval value is in a preset eye closing judgment interval in the continuous video frames or not, and if yes, determining that the current detected single eye is in an eyelid closing state; and when and only when both the left eye and the right eye of the user are in the eyelid closed state, judging that the user is in the eyelid closed state. The method can support self-service brain function detection in a non-professional environment.

The invention discloses a wearable eyelid closing training device and method. The wearable eyelid closing training device comprises a shell, a negative pressure adsorption eyelid connector, a resistance generating mechanism, a linkage visual feedback mechanism and a head-mounted fixing assembly. The negative pressure adsorption eyelid interface is adsorbed and fixed on the skin surface of the upper eyelid of a user; the resistance generating mechanism is accommodated in the shell, is in driving connection with the negative pressure adsorption eyelid interface and is used for providing adjustable mechanical resistance when the eyes of a user are closed actively; the linkage visual feedback mechanism is in fluid communication with the resistance generating mechanism and is used for converting work done by a user for overcoming resistance into a displacement signal of an indicator in real time; the head-mounted fixing assembly is connected to the shell and used for wearing and fixing the device on the head of a user. The training method adopts the device for training. According to the wearable eyelid closing training device and training method, physiologic and quantifiable effects can be achieved, immediate feedback is achieved, and therefore the training effect is improved.

The invention discloses a wearable periocular muscle electrical stimulation system and method for a facial paralysis patient, which are specially designed for eyelid closure dysfunction of the facial paralysis patient, adopt a wearable design, enable the patient to be treated anytime and anywhere, do not need to stay in hospital or frequently go to hospital, and are convenient and easy to use. The real-time eye movement signal provided by the eye movement tracking device is used as a control trigger source, and real-time closed-loop control that the uninjured side eyelid action triggers the affected side synchronous electrical stimulation is achieved. Meanwhile, a double-channel control strategy of high-frequency chopping boosting and low-frequency PWM modulation is introduced, the lepidomelaei muscle or the orbiculus ocularis muscle on the affected side is stimulated through the electrical stimulation technology, and the patient is effectively helped to recover the eyelid closing function. Through the signal cascading mode, the intermediate processing link of image acquisition and recognition is omitted, the control process is more direct, and real-time response and synchronous stimulation of eyelid movement can be achieved conveniently.

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.

The application discloses an eyelid closure detection method, an alarm method, a device, a vehicle, a medium and equipment, and belongs to the field of data processing. The method comprises the following steps: a sensing model performs sensing detection on the positions of the binocular reference points of personnel in each current image, distance calculation is performed on the positions of the binocular reference points, current eye width is obtained, and the current eye width is mapped into a normalized interval to obtain a current width normalized value; in a preset time period, a plurality of current width normalized values obtained are sorted to obtain a width time sequence queue, and weighted calculation is performed on the current width normalized values in the width time sequence queue to obtain a width average value of the width time sequence queue; and the width average value is compared with a width threshold value to determine that the eye state of the personnel is eyelid closure when the width average value is less than the width threshold value. The application improves the accuracy of personnel eyelid closure detection, reduces the false positive rate, and improves the user experience.

The disclosed adhesive eyelid closure article has a support layer and a pressure sensitive adhesive on the support layer. The support layer defines a main body and a non-adhesive tab area. The support layer has a central portion and an outer circumferential portion. The non-adhesive tab area is delimited by two recesses located in the outer circumferential portion of the support layer. The support layer has a first major surface and a second major surface opposite to the first major surface. The pressure sensitive adhesive is on at least part of the outer circumferential portion of the first major surface of the support layer, forming an adhesive coated area of the support layer.

The invention provides a screen dimming method, device and equipment for reducing the risk of xerophthalmia and a storage medium, and the method comprises the steps: periodically collecting eye videos of a user through a camera, and calling a machine learning framework to process the videos to detect a blink amplitude sequence, thereby capturing the eyelid closing degree of each blink to recognize an incomplete blink condition; and then, according to the sequence, combining with the current clock moment to dynamically calculate suitable screen brightness and color temperature, generating the parameters by comprehensively considering the blink completeness degree, environment illumination and day and night factors, and finally, based on a calculation result, controlling light environment parameters of a display screen and continuously obtaining blink feedback data to realize dynamic adjustment. Therefore, tear film instability caused by incomplete blinking is reduced, and the risk of xerophthalmia when a user uses a screen of the electronic equipment is effectively reduced.

An eyelid closure patch having a main body with a front face and a back face, where either one, or both, of the front face and / or the back face has a silicone adhesive at least partially covering the surface thereof. The main body can also have a semi-permeable or occlusive membrane.

The invention relates to the technical field of man-machine engineering intelligent control for improving comfort and safety of automobile cabins, and discloses a dynamic adjusting method for rigidity of an intelligent seat in a fatigue driving state. A fixed adjustment period is constructed, original physiological data such as eyelid closing duration are collected, and a stable fatigue index is obtained through time window constraint, abnormal value truncation and dimension unified processing. And combining the initial rigidity and the fatigue index of the seat, dynamically calculating the target rigidity according to a monotone mapping relation, forming error measurement with the difference value of the actual rigidity, determining the adjusting direction and the self-adaptive stride, and ensuring the response speed and the adjustment stability. Through intermediate stiffness interval projection, stride factor adjustment and physical boundary constraint, the accuracy and safety of stiffness adjustment are improved. Furthermore, the update rigidity is mapped into an execution instruction, a continuous scheduling track is generated, and sudden adjustment and hardware damage are effectively avoided in combination with a rate inspection and maintenance mechanism.

The invention discloses a full-light-control zinc oxide / perovskite heterojunction bionic visual device, a preparation method, a system and a method.The device comprises a ZnO microwire serving as a conducting channel, a perovskite shell layer, an indium particle electrode and a quartz substrate, and the ZnO microwire is fixed to the quartz substrate through the indium particle electrode; the middle part of the ZnO microwire is wrapped by the perovskite shell layer; the oxygen vacancy defect state in the ZnO microwire is modulated through ultraviolet light, reversible switching of positive and negative photoconductance responding to visible light is achieved, the human eye light pigment regeneration and bleaching process is simulated, and photopic vision and scotopic vision adaptation is achieved; under the modulation of strong ultraviolet light, the device shows a negative photoconductive effect and simulates a self-protection mechanism of eyelid closure. The device integrates visual adaptation and protection functions in a single structure, does not need an external grid voltage or a complex circuit, and provides a new idea for a new generation of bionic visual sensors.

This invention belongs to the fields of biomedical engineering, flexible electronics, and artificial intelligence-assisted rehabilitation technology. It provides an artificial intelligence-based electromagnetically controlled eyelid actuation device and method, including real-time acquisition of multimodal physiological signals from both sides of the patient's eyes; calculation of bilateral blinking intention probabilities using a hybrid AI prediction model; and generation of a driving command when multi-frame consistency conditions are met and both sides are synchronized. A controllable magnetic field is generated based on the driving command, driving both eyelids to perform opening and closing movements via a non-contact flexible actuation method using magnetohydrodynamic push-pull force. Simultaneously, based on a dual-layer control mechanism combining feedforward and feedback, the magnetohydrodynamic push-pull force of both eyelids is independently fine-tuned to compensate for differences in eyelid movement, ensuring consistent eyelid closure amplitude. This invention achieves highly sensitive, low-latency, and robust blinking intention recognition and auxiliary driving function execution, exhibiting good biocompatibility, wearing comfort, and clinical application potential.

A device for stimulating left and right eyelid closure of a patient. A first pair of electrodes is configured to be attached in spaced apart relation to one another proximate to a left facial nerve of the patient for activating closure of the left eyelid. A second pair of electrodes is configured to be attached in spaced apart relation to one another proximate to a right facial nerve of the patient for activating closure of the right eyelid. A controller in communication with the first and second pairs of electrodes is configured to provide electrical signals to the first and second pairs of electrodes for stimulating closure of the left and right eyelids. A power supply in communication with the controller is configured to supply electrical power to the controller and the first and second pairs of electrodes.

The present application relates to the technical field of air traffic management, and discloses a tower controller fatigue prediction method based on work type and circadian rhythm, comprising: obtaining a face video frame of a controller in a tower, and calculating a PERCLOS time sequence representing an eyelid closure proportion; obtaining an exogenous factor related to a control task; encoding the PERCLOS time sequence and the exogenous factor, and inputting them into a trained time sequence neural network model, wherein the time sequence neural network model is configured to apply different weights to the work type, the circadian rhythm and the work demand respectively for differential modeling; and based on the output of the time sequence neural network model, generating a fatigue level curve covering a preset prediction time window. The present application aims to solve the technical problem of the existing fatigue monitoring method, which has a lagging response and is insufficiently adaptable to dynamic working scenarios, thereby providing a method capable of actively and accurately predicting the future fatigue development trend of a controller.

The invention is suitable for the technical field of glasses, and provides a pair of glasses for improving blepharospasm mouth and mandibular muscular dystonia discomfort, which comprises a glasses frame divided into two symmetrical lens brackets, and the outer sides of the two lens brackets are respectively provided with a glasses leg I and a glasses leg II; the nose pad I and the nose pad II are respectively arranged on the two lens brackets; the mounting groove I, the mounting groove II and the mounting groove III are respectively formed in the lens bracket on one side; the fourth mounting groove, the fifth mounting groove and the sixth mounting groove are respectively formed in the lens bracket on the other side; the first adjusting rod assembly and the second adjusting rod assembly are movably mounted on the first mounting groove, the second mounting groove, the third mounting groove, the fourth mounting groove, the fifth mounting groove and the sixth mounting groove respectively. The device can interfere with abnormal nerve impulse of a patient and restrain non-autonomous spasm of muscles, so that symptoms such as eyelid closure and spasm of muscles of the face and the lower jaw are relieved.

An exemplary embodiment of the present disclosure provides an eyelid closure system comprising a first optical sensor, an electrical stimulator, and a controller. The controller can be configured to: receive a sensing signal from the first optical sensor, the sensing signal indicative of a kinematic of a first eyelid of a user; and cause the electrical stimulator to emit a first electrical stimulus in response to the sensing signal, the first electrical stimulus configured to cause a second eyelid of the user to close.