9 results about "Eye blinking" patented technology

An electronic device may have a display for displaying image content. Head-mounted support structures in the device may be used to support the display. The electronic device may have an eye monitoring system that detects eye saccades and eye blinks. Control circuitry in the electronic device may coordinate operation of the display with periods of suppressed visual sensitivity that are associated with the saccades and blinks. By making adjustments to display circuitry and image content during periods of suppressed visual sensitivity, potentially visually obtrusive changes to displayed images can be hidden from a user of the electronic device. Adjustments to display operation may help reduce burn-in effects, may help reduce power consumption, and may otherwise improve device performance.

The invention discloses a blink recognition evaluation system and method, and relates to the technical field of blink recognition, and the method comprises the steps: selecting upper and lower eyelid mark points, collecting a preprocessed video clip, located in front of a computer screen, of a subject, counting stable part trend features of interval periods between different time points of each blinking of the subject and every two adjacent different blinking time points, and extracting stable part trend features from change trends of upper and lower eyelid mark point movement data tracked under the condition of blinking time features in the preprocessed video; the method comprises the steps of preprocessing a video to select a first training image set and a second training image set from preprocessed segmented images obtained by segmenting the preprocessed video, selecting a test image set according to the first training image set, and counting the blinking frequency and the incomplete blinking proportion of a subject according to the first training image set, the second training image set and the test image set. The method can enhance real-time performance, automation and noninvasive performance, gets rid of dependence on special hardware, and can be applied to ophthalmic clinic.

The application discloses an eye blinking detection method and system, a wearable device, and a computer readable storage medium. The method comprises: collecting an electromyography signal of an eye region of a user; detecting an eye blinking event based on the electromyography signal; in a first detection state, when an eye blinking event meeting a first interaction judgment condition is detected, identifying the eye blinking event as an interaction eye blinking event, and outputting a corresponding human-computer interaction instruction; in a second detection state, only when an eye blinking event meeting both the first interaction judgment condition and a second interaction judgment condition is detected, identifying the eye blinking event as an interaction eye blinking event, and outputting a corresponding human-computer interaction instruction; when the first detection state is currently used, after detecting an eye blinking event not meeting the first interaction judgment condition, switching to the second detection state. The application can improve the interaction judgment threshold when natural blinking occurs frequently, inhibit the interference of natural blinking on human-computer interaction, and improve the reliability in the human-computer interaction process.

The application relates to the technical field of air conditioners, and discloses a method for controlling an air conditioner, which comprises the following steps: in response to an instruction for entering a game scene, monitoring voice information of a user; in the case that the voice information comprises a preset keyword, acquiring an eye blinking frequency of the user at intervals in a preset time period; acquiring a target operating temperature of the air conditioner according to the eye blinking frequency; and controlling the air conditioner to operate according to the target operating temperature. In this way, the target operating temperature of the air conditioner can be changed along with the change of the eye blinking frequency. Therefore, by controlling the air conditioner to operate according to the target operating temperature corresponding to the eye blinking frequency, the target operating temperature of the air conditioner can be automatically adjusted in the case that the game scene changes, so that the experience of using the air conditioner by the user is improved. The application further discloses an apparatus for controlling an air conditioner, an electronic device and a storage medium.

The embodiment of the invention discloses a fatigue detection method and device for head-mounted equipment. The method comprises the following steps: acquiring face data of a wearer of the head-mounted equipment; wherein the face data comprises at least one of an eye opening degree, an eye blinking frequency and a mouth opening degree; obtaining a fatigue detection result of the wearer according to a preset fatigue detection model and the face data; when the fatigue detection result is that the wearer is in the fatigue state, outputting prompt information that the wearer is in the fatigue state; wherein the preset fatigue detection model comprises a first fatigue detection model, a second fatigue detection model and a third fatigue detection model, the first fatigue detection model reflects the mapping relation between the eye opening degree and the fatigue detection result, and the second fatigue detection model reflects the mapping relation between the eye blinking frequency and the fatigue detection result; the third fatigue detection model reflects the mapping relation between the mouth opening and closing degree and the fatigue detection result.

1. The name of the design product: virtual expression animation dynamic graphical user interface of display screen panel. 2. The use of the design product: for display and interaction, the display screen panel can be used for smart door lock, desktop computer, notebook, mobile phone, navigator, smart watch. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: interface change state diagram 16. 5. Since the display screen panel does not involve design points, the rear view, left view, right view, top view and bottom view are omitted. 6. The use of the graphical user interface: for displaying virtual animation and interacting by recognizing the display screen panel. 7. The human-computer interaction mode of the graphical user interface: enter interface change state diagram 1 after clicking the position of "anti-tamper switch" in the main view; when a person approaches the detection area, the gesture pattern in interface change state diagram 1 is presented to enter interface change state diagram 2; when the gesture pattern in interface change state diagram 2 becomes larger, enter interface change state diagram 3; when the gesture pattern in interface change state diagram 3 becomes larger again, enter interface change state diagram 4; when the eye lines in interface change state diagram 4 start to expand up and down, enter interface change state diagram 5; when the eyes in interface change state diagram 5 shrink again, enter interface change state diagram 6; when the eyes in interface change state diagram 6 are compressed into a line, enter interface change state diagram 7; when the eyes in interface change state diagram 7 rotate to the left, the two points in the gesture become shorter, enter interface change state diagram 8; when there is no point pattern on the right side of the gesture pattern in interface change state diagram 8, enter interface change state diagram 9; when the eye lines in interface change state diagram 9 start to expand, enter interface change state diagram 10; when the eye lines in interface change state diagram 10 start to expand, enter interface change state diagram 11; when the eye lines in interface change state diagram 11 gradually become circular, enter interface change state diagram 12; when the point pattern appears on the right side of the gesture in interface change state diagram 12, enter interface change state diagram 13; when the eye lines in interface change state diagram 13 gradually rotate to the right, the point pattern line on the right side of the gesture separates, enter interface change state diagram 14; when the eye lines in interface change state diagram 14 gradually rotate to the right, the point pattern line on the right side of the gesture becomes shorter, enter interface change state diagram 15; when the point pattern line on the right side of the gesture in interface change state diagram 15 disappears, enter interface change state diagram 16. That is, the action of eyes blinking and swinging left and right.

An EEG signal eye blink artifact elimination method, system and storage medium, the method comprising: performing time-frequency conversion on the time domain signal collected by each channel of an electroencephalograph to obtain a corresponding time-frequency image; performing segment interception on the time-frequency image through a sliding window to obtain a time-frequency image segment; identifying an eye blink artifact image contained in the time-frequency image segment through a trained convolutional neural network; taking the non-artifact time-frequency image frames adjacent to the appearance segment of the eye blink artifact image as the starting position and the ending position to obtain an artifact elimination segment; eliminating the eye blink artifact in the artifact elimination segment through a dense optical flow method to obtain a time-frequency image after removing the eye blink artifact; and performing time-frequency inverse conversion on the time-frequency image after removing the eye blink artifact to obtain a corresponding time domain signal. The time sequence signal is converted into a time-frequency image, the eye blink artifact component in the image is effectively extracted through a convolutional neural network, and the artifact optical flow is calculated, so that the effect of eliminating the artifact is achieved.

An Eye Sign language communication system and method is useful for people suffering from Quadriplegia, stroke or paralysis. The Eye Sign language communication system is based on advanced machine learning and deep learning to identify the eye sign language based on the eye blinks and direction of eye gaze with help of pupil for interpretation of signs into alphabets and words and conversion of words into speech. Hardware with sensors, controllers, and speakers along with a display screen are used to process the eye signs and display the alphabets, words and sentences and announce the detected alphabets, words and sounds using the speakers.

The present disclosure provides a face video communication method and device, electronic equipment and storage medium, and relates to the technical field of semantic communication. The scheme is: compressing and encoding a key reference frame to obtain key reference frame encoding data; mapping an interval frame from a two-dimensional image frame to a three-dimensional parameter space, and screening to obtain a three-dimensional face semantic representation containing mouth movement parameters, eye blinking parameters, head rotation parameters, head translation parameters and head position parameters; encoding the three-dimensional face semantic representation to obtain interval frame encoding data; integrating the key reference frame encoding data and the interval frame encoding data into a transmission code stream and sending the transmission code stream to a decoder end, the decoder end being configured to decode the transmission code stream to generate an interval frame reconstructed face image frame; in response to an interaction instruction, modifying the parameters in the three-dimensional face semantic representation of the reconstructed interval frame to generate an interval frame reconstructed face image frame corresponding to the interaction instruction, thereby realizing the effect of unifying low code rate transmission, high quality reconstruction and semantic level interaction control.