45 results about "Eye blink" patented technology

Visual methods and systems are described for detecting alertness and vigilance of persons under conditions of fatigue, lack of sleep, and exposure to mind altering substances such as alcohol and drugs. In particular, the intention can have particular applications for truck drivers, bus drivers, train operators, pilots and watercraft controllers and stationary heavy equipment operators, and students and employees during either daytime or nighttime conditions. The invention robustly tracks a person's head and facial features with a single on-board camera with a fully automatic system, that can initialize automatically, and can reinitialize when it need's to and provide outputs in realtime. The system can classify rotation in all viewing direction, detects' eye / mouth occlusion, detects' eye blinking, and recovers the 3D(three dimensional) gaze of the eyes. In addition, the system is able to track both through occlusion like eye blinking and also through occlusion like rotation. Outputs can be visual and sound alarms to the driver directly. Additional outputs can slow down the vehicle cause and / or cause the vehicle to come to a full stop. Further outputs can send data on driver, operator, student and employee vigilance to remote locales as needed for alarms and initiating other actions.

The invention relates to the technical field of man-machine interaction and provides a man-machine interaction method based on sight judgment, to realize the operation on an electronic device by a user. The method comprises the following steps of: obtaining a facial image through a camera, carrying out human eye area detection on the image, and positioning a pupil center according to the detected human eye area; calculating a corresponding relationship between an image coordinate and an electronic device screen coordinate system; tracking the position of the pupil center, and calculating a view point coordinate of the human eye on an electronic device screen according to the corresponding relationship; and detecting an eye blinking action or an eye closure action, and issuing corresponding control orders to the electronic device according to the detected eye blinking action or the eye closure action. The invention further provides a man-machine interaction system based on sight judgment. With the adoption of the man-machine interaction method, the stable sight focus judgment on the electronic device is realized through the camera, and control orders are issued through eye blinking or eye closure, so that the operation on the electronic device by the user becomes simple and convenient.

The present invention relates to a method for preparing a contact lens-shaped amniotic dressing and a contact lens-shaped amniotic dressing prepared therefrom for treating ocular surface diseases, which does not require the use of sutures or an adhesion material. The inventive contact lens-shaped amniotic dressing is capable of solving the problems associated with suturing an amniotic membrane, e.g., highly delicate surgical techniques of suturing, long surgery time, stitch abscess, granuloma formation, tissue necrosis, and discomfort of patients; and the problems associated with the use of a support, e.g., the elimination of the support by eye blinking, breaking of the support, and discomfort.

A method and apparatus for detecting a location of an eye of a user using an automated detection process, and automatically determining a position of a head of the user with respect to an object based on the detected location of the eye. A location of an eye of a user inside a vehicle is detected using the automated detection process, at least one of height and orientation information of the user is automatically determined based on the detected location of the eye, and a mechanical device inside the vehicle is controlled in accordance with the determined information. Moreover, an eye blinking pattern of a user is detected using an infrared reflectivity of an eye of the user, and messages are transmitted from the user in accordance with the detected eye blinking pattern of the user.

According to an exemplary embodiment, a blink device includes: a blink detector configured to detect a blink of a user from an image photographed by a camera; a period measurer configured to measure a time period between consecutive blinks of the user and determine whether the measured time period exceeds a reference time period; a real-time image capture unit configured to capture a real-time image of the user from the photographed image; and an image processor configured to perform the following if the measured time period exceeds the reference time period: generate from the real-time image a blink image for inducing the user to blink, delay the display of the blink image by a delay period from when the user's blink is detected, and display the blink image after the delaying.

A method determining user liveness is provided that includes calculating, by a device, eye openness measures for a frame included in captured authentication data, and storing the eye openness measures in a buffer of the device. Moreover the method includes calculating confidence scores from the eye openness measures stored in the buffer, and detecting an eye blink when a maximum confidence score is greater than a threshold score.

The invention discloses an educational supervision evaluation report generating system. The educational supervision evaluation report generating system is used in the method comprising the steps of using student terminals to send cognition confirmation voice corresponding to contents which are taught by a teacher to every student in a class periodically; detecting the response of every student to the voice, generating cognition degree analysis results of the contents of the current class according to the confirmation responses, and enabling the results to be displayed on a teacher terminal and used for the teacher to adjust the current teaching contents. By the adoption of the technical scheme, the educational supervision evaluation report generating system can send voice information for confirming the cognition degree to the students according to time or the teaching contents, and related information is confirmed in an eye blinking mode. The teacher can conveniently master the cognition degree conditions of the students about the teaching contents, and the educational supervision evaluation report generating system is especially suitable for universities or classes where a lot of people attend and the teacher cannot visually observe the conditions of the students.

The present invention relates to a system for monitoring a dopaminergic activity of a subject, wherein the system comprises a detection unit for detecting an eye blink signal relating to eye blinks of the subject; an analysis unit for determining, based on the detected eye blink signal, an eye blink feature indicative of the dopaminergic activity of the subject and for comparing the eye blink feature with a reference eye blink feature; and a feedback unit for providing feedback relating to the dopaminergic activity of the subject based on the comparison of the eye blink feature and the reference eye blink feature. Further aspects of the present invention relate to a corresponding method and computer program. The approach permits early screening of a dopaminergic activity and continuous monitoring of the patient's response to dopamine drugs, for example.

The invention relates to an eye movement control method and device. The method comprises the steps that in step 1, eye pictures of the left eye and the right eye are respectively continuously obtained through a camera by a preset time interval; in step 2, through image analysis, the eye pictures of the left eye and the right eye taken in a same moment are respectively judged whether it is an eye open picture or an eye close picture; in step 3, when one of the left eye picture and the right eye picture is an eye blink picture, i.e. a single eye blink, the frame number of the continuously obtained eye blink pictures is counted; in step 4, the count value and the preset first threshold value are compared, if the count value is higher than the preset first threshold value, the blinking control commands are outputted. The method analyzes the frame number of the continuously produced eye blink pictures when there is only a single eye blink, when the time of duration exceeds a preset first time threshold, the blink is regarded as a control eye blink, and the eye blink control commands are outputted, the judging process is simple and easy to implement, and the effects of the error blink or normal blink on the judgement of eye blink control are well dissolved.

A method for identifying an occurrence of a concussion in a subject involves capturing eye blink raw data from at least one eye of the subject. The method next involves analyzing the eye blink raw data to generate at least a first subject specific eye blink metric and determining that a significant difference exists between the first subject specific eye blink metric and a predefined normal value. Next, the occurrence of the concussion in the subject may be identified, based on determining that the significant difference exists.

The invention discloses a statistical analysis system employing a degree-of-cognition system. The statistical analysis system comprises a student's terminal and a teacher's terminal; the student's terminal is used for transmitting a cognitive confirming voice aimed at a teacher's teaching content, at regular times to every student in a class; the teacher's terminal is used for receiving the confirming voices long-transmitted by students so that the teacher can adjust the current teaching content. The statistical analysis system according to the technical scheme has the advantages that voice messages of confirming cognitive degrees can be transmitted to the students periodically or according to the teaching content, related information is confirmed by eye blinking, the teacher is allowed to conveniently master the cognitive degrees of the teachers for the teaching content, and the statistical analysis system is especially suitable for college classes or classes with many students, where the teachers cannot have visualization of the conditions of the students.

An augmented reality system including a source and a contact lens display can be used to project information from the contact lens display onto the retina of the wearer's eye. The source provides energy to the contact lens display and operates at a source frequency. The source includes a source circuit including a conductive coil. The contact lens display includes a resonant circuit including another conductive coil and a capacitive circuit. The resonant circuit receives energy from the conductive coil of the source via a magnetic field inductively coupling the conductive coils. The contact lens display additionally includes a feedback circuit to adjust the capacitance of the capacitive circuit to control a resonant frequency of the resonant circuit. The feedback circuit can control the capacitive circuit to maintain the resonant frequency of the resonant circuit near the source frequency as the wearer's eye blinks.

A system (10) is provided for enabling biometric identification. The system (10) comprises at least two electrodes (12), a database (14) and a processor (13). The at least two electrodes (12) are to be applied to a face of a subject for capturing electrophysiological signals (51, 52, 53, 54) therefrom. The subject is one of the registered users. The database (14) comprises characteristic eye blink data of registered users. The processor (13) is operably coupled to the electrodes (12) and the database (14) and is operative to receive the electrophysiological signals (51, 52, 53, 54) from the at least two electrodes (12) during at least one eye blink of the subject, to derive eye blink characteristics from the obtained electrophysiological signals (51, 52, 53 54), to make a comparison of the derived eye blink characteristics with at least part of the characteristic eye blink data in the database (14) and to determine an identity of the subject, based on the comparison.

As provided in accordance with the present invention there is provided a simple, effective algorithm for filtering out eye blink artifact at the level of individual grayscale images commonly acquired for medical diagnostic purposes by infrared videonystagmography.

Advantage is taken of the fact that as a player becomes uncomfortable, visually observable aspects of the player's physiological state, such as the frequency of eye blinks, may change. By analyzing such changes and / or other image changes, as obtained from signals generated by an input device, the system is able to determine changes in a player's comfort level and change the game accordingly.

The invention relates to a fatigue state detection method. The method includes the steps of inputting a human eye sample and a mouth sample after segmenting the same face image; extracting first texture characteristics of the human eye sample and extracting second texture characteristics of the mouth sample; using a pre-trained strong classifier to detect the first texture characteristics and thesecond texture characteristics at the same time to obtain a human eye state and a mouth state; according to the human eye state and the mouth state, determining the percentage value PERCLOS value of the total time of eye closing to eye blinking of a user to which the face image belongs within a preset time, eye blinking frequency and the number of opening and closing of the mouth; determining whether or not the PERCLOS value is greater than a first preset value, whether or not the eye blinking frequency is greater than a second preset value, and whether or not the mouth opening number is greater than a third preset value; if any two or three of the three situations are true, determining that the user is in a fatigue state. The method can recognize the state of the eyes and the state of themouth at the same time, improve the efficiency of detecting the fatigue state, and at the same time, improve the recognition accuracy.

Disclosed are a display controlling method, a terminal, and a display device. The method includes the steps of capturing an image in a photographic area in front of a terminal in real time, calculating a user's eye blink frequency according to captured image, selecting a corresponding operation according to the eye blink frequency and a predetermined rule which relates to a corresponding relationship between the eye blink frequency and an operation, and controlling the terminal and the display device to execute a corresponding function according to the operation.

The invention relates to an eye blink recognition method and device. The method comprises the steps of sampling a signal meeting a preset sampling condition in a voltage signal output by a body motion detection chip to obtain a sampling data sequence; choosing any sampling point from not traversed sampling points as a target sampling point; when the target sampling points meet a preset blink sampling point effective condition, creating a cluster aiming at the target sampling points; adding the target sampling points and sampling points, meeting a clustering condition, among the target sampling points into the cluster; repeatedly executing the step of choosing any sampling point from the not the traversed sampling points as the target sampling point till all sampling points in the sampling data sequence are traversed; according to the established cluster, recognizing a blink parameter. Through the technical scheme, the calculation amount of data can be reduced, the complexity of an algorithm is lowered, an error which possibly occurs in the calculating process is effectively avoided, and the accuracy is drastically improved.

A method for restoring healthy vision includes first establishing a visual target, then having the subject keep horizontal and vertical lines, through the center of the plane of the target, respectively parallel to corresponding horizontal and vertical lines through the centers of the eyes, and fixing the eyes on the central part of the target while performing all the following steps, taken in order, which include slowly rotating the head to the right about five degrees, keeping the eyes horizontally aligned, then stopping and performing about four eye blinks, then repeating the rotation and blinks in five-degree increments until an excursion of about 30 degrees is reached, then repeating the procedure to the left, until and excursion of about 30 degrees to the left of center is reached, then repeating the procedure again to the right, until the nose is pointing directly at the target.

A method for identifying an occurrence of a concussion in a subject involves capturing eye blink raw data from at least one eye of the subject. The method next involves analyzing the eye blink raw data to generate at least a first subject specific eye blink metric and determining that a significant difference exists between the first subject specific eye blink metric and a predefined normal value. Next, the occurrence of the concussion in the subject may be identified, based on determining that the significant difference exists.

A system (10) is provided for enabling biometric identification. The system (10) comprises at least two electrodes (12), a database (14) and a processor (13). The at least two electrodes (12) are to be applied to a face of a subject for capturing electrophysiological signals (51, 52, 53, 54) therefrom. The subject is one of the registered users. The database (14) comprises characteristic eye blink data of registered users. The processor (13) is operably coupled to the electrodes (12) and the database (14) and is operative to receive the electrophysiological signals (51, 52, 53, 54) from the at least two electrodes (12) during at least one eye blink of the subject, to derive eye blink characteristics from the obtained electrophysiological signals (51, 52, 53 54), to make a comparison of the derived eye blink characteristics with at least part of the characteristic eye blink data in the database (14) and to determine an identity of the subject, based on the comparison.

A system for detecting eye blink activity, the system including one or more processors in communication with non-transitory data storage media having instructions stored thereon that, when executed by the one or more processors configure the one or more processors to perform the steps of receiving, with a receiving module, a signal associated with eye blink activity; filtering, at a processing module, the signal to reduce noise from the signal; calculating, at the processing module, a variance of the filtered signal for estimating background noise; removing, at the processing module, background noise associated with the variance; and detecting, at the processing module, eye blink activity by performing duration detection.

This application provides a human-computer interaction system, including: a wearable device, including a wearable main body and a matching piece. The matching piece is made of conductive material and is used to be attached to the wearer's upper eyelid. The wearable main body is equipped with an electromagnetic sensor. The sensor is used to detect the blink signal of the wearer through the electromagnetic induction effect with the matching piece; the host computer is connected to the electromagnetic sensor for communication and is used to obtain the blink signal detected by the electromagnetic sensor in real time; when determining the blink signal at the current moment is When there is a valid blink signal, starting from the current moment, determine the number of effective blinks of the wearer within the preset time; determine and execute the operating instructions corresponding to the effective number of blinks based on the correspondence between the preset number of blinks and the operating instructions, including: Windows Desktop application selection operations, PPT control operations and typing operations. The system improves the stability, convenience and applicability of human-computer interaction based on blink signals.

Disclosed are an intelligence device and a method of selecting a user of the intelligence device. According to an embodiment of the disclosure, the intelligence device may analyze the eye blinks and pupil shapes of persons and select the person gazing at the intelligence device as a user. According to an embodiment, the intelligence device may be related to artificial intelligence (AI) modules, robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.

The invention discloses a method for visualizing alarm information for power flow diagrams and the method, comprising the following steps: after a man-machine receives an alarm event body, the alarm information is read, and the man-machine system rapidly locates the alarm occurrence position in a bullseye flashing manner; According to the grid topology relationship, the interval diagram connected to the faulty component is cut out, the associated data of the interval diagram and topology coloring are performed; according to the grid topology relationship, the faulty component and the cropped interval diagram are spliced, and the fault detailed information diagram is automatically generated; The background color of the flow chart is dimmed, and the fault detail chart is highlighted. When there is abnormal information in the power grid, the present invention can quickly locate the abnormal occurrence place of the power grid, and automatically generate a local detailed picture by cutting and splicing according to the specific abnormality, so as to realize the joint display of the power flow diagram picture and the detailed picture, so that the dispatcher can first A quick insight into the anomalies of the power system at a time.

The invention discloses a living body detection method based on an infrared camera blinking, and belongs to the technical field of digital image processing. The present invention is as follows: collecting a section of video segment to be detected that satisfies the detection duration through an infrared camera device; acquiring the face image and the left and right eye positions of the current frame of the video segment to be detected; dividing the face image of the current frame into upper and lower regions, The upper area includes the positions of the left and right eyes; and extract the frame difference map of the upper area of ​​the current frame and the previous frame; after binarizing the frame difference map, perform the opening operation of the image morphology, and then search for all contours, if the contour If the number exceeds two, perform suspected blink detection to obtain the blink position; otherwise, continue to process the next frame; then perform real blink detection on the current frame based on the blink position: if the left and right eye positions are within the left and right blink positions, the current object to be detected is considered to be living body. The invention increases the robustness of eye blink detection, so that the false detection rate is greatly reduced.