14 results about "Pupil movement" patented technology

A computer-implemented system and method for pupil-directed retinal projection in near-eye displays are disclosed. The computer-implemented system provides smart glasses with directed physical pixels that project light beams / signals directly onto a user's retina based on pupil position and size. The glasses comprise a frame, lenses with directed pixel layers, and sensors for tracking pupil movement. Each directed pixel may generate multiple virtual pixels by rapidly changing its emission angle. The glasses function as prescription lenses, virtual reality displays, and augmented reality devices without traditional optical systems. Additional features include depth sensors, cameras, and connectivity to peripheral devices. The glasses enable a seamless blend of virtual and real-world experiences, creating an immersive “Mixverse” environment. Various input methods, including gesture recognition and brain-computer interfaces, allow for intuitive control and interaction.

A computer-implemented system and method for pupil-directed retinal projection in near-eye displays are disclosed. The computer-implemented system provides smart glasses with directed physical pixels that project light beams / signals directly onto user's retina based on pupil position and size. The glasses comprise frame, lenses with directed pixel layers, sensors for tracking pupil movement. Each directed pixel generates multiple virtual pixels by rapidly changing its emission angle. Each directed pixel with pupil's real-time tracking, provides automatic adjustments to virtual contents, ensuring accurate alignment of images with field of view of users while identifying vergence-accommodation conflict. The glasses function as prescription lenses, virtual reality displays, augmented reality devices without traditional optical systems. Additional features include depth sensors, cameras, connectivity to peripheral devices. The glasses enable seamless blend of virtual and real-world experiences, creating immersive “Mixverse” environment. Various input methods, including gesture recognition and brain-computer interfaces, allow for intuitive control and interaction.

To express a more lifelike quality. [Solution] The robot 100 includes a detection unit for detecting objects, an eye unit 150 that mimics an eye and can change the position and size of the pupil, and a control unit 110 that performs a first control to move the position of the pupil in the eye unit 150 to indicate that the robot is looking at an object detected by the detection unit, and a second control to change the position or size of the pupil in the eye unit 150 in a wavering manner, which is a different pupil movement from the movement of the pupil position by the first control.

The present disclosure provides a pupil movement tracking method, device, equipment and storage medium. The method comprises: preprocessing an N+1th frame image in an eye video to obtain a corresponding binary image; performing class circle region detection on the binary image to determine position information of a suspected pupil region in the binary image; performing mask processing on the binary image based on the position information to obtain a binary image after mask processing; performing pupil contour extraction on the binary image after mask processing to obtain corresponding suspected pupil contour feature points, and screening the suspected pupil contour feature points based on the position information to obtain pupil contour feature points; determining a coefficient of variation of the pupil contour feature points in the N+1th frame image based on the pupil contour feature points and a pupil center point in an Nth frame image in the eye video; and determining a pupil center point in the N+1th frame image based on the coefficient of variation, to be used for pupil movement tracking.

A computer-implemented system and method for pupil-directed retinal projection in a near-eye display is disclosed. The computer-implemented system provides the smart glasses with directional physical pixels that project light beams / signals directly onto the retina of the user based on the position and size of the pupil. Eyeglasses include a frame, lenses having directional pixel layers, and a sensor for tracking pupil movement. Each directional pixel may generate a plurality of virtual pixels by rapidly changing its emission angle. Glasses are used as prescription lenses, virtual reality displays, and augmented reality devices without conventional optical systems. Additional features include depth sensors, cameras, and connectivity with peripheral devices. According to the glasses, seamless fusion of virtual world experience and real world experience can be realized, so that an immersive mixverse environment is created. Various input methods, including gesture recognition and brain-computer interface, allow for intuitive control and interaction.

A light based pupil size measuring system includes at least one semiconductor light source including a cavity and configured to emit light onto an eye target. The system further includes at least one light sensor for converting a self-mixing interferometric (SMI) signal of the light backscattered from the eye target into the cavity into an electrical current or voltage and includes at least one processor configured to determine ocular pupillary movement of the eye target based on the converted SMI signal from the at least one light sensor.

To provide an arousal level measurement method that identifies the occurrence order of specific ocular and pupillary movements that appear with a decrease in arousal, and determines the arousal level.SOLUTION: An arousal level measurement method measures changes in eye movement and pupil diameter by performing ocular and pupillary measurements, detects, as an ocular alertness index (Ocular Alertness Index) for evaluating arousal, a shortening of intersaccadic intervals (Frequent saccade), a decrease in peak saccadic velocity (Slow saccade), slow fluctuations in eye position (Slow eye movement), and the co-occurrence (Div-mio) of divergence contrary to the near reflex (Divergence) and miosis (Miosis), and evaluates the decrease level of arousal on the basis of the occurrence order of the ocular alertness indices.SELECTED DRAWING: Figure 14

This application discloses an image distortion detection method, apparatus, electronic device, and readable storage medium, applied in the field of computer vision technology. The image distortion detection method includes: acquiring at least one reference pixel grayscale value corresponding to a target pixel in an image to be detected; performing distortion enhancement on the image to be detected based on the grayscale values ​​of each reference pixel to obtain a distortion-enhanced image; and performing image distortion detection on the image to be detected based on the distorted pixels in the distortion-enhanced image to obtain an image distortion detection result. This application solves the technical problem of low detection accuracy for pupil movement distortion in images.

The invention relates to a method for detecting and evaluating pupil movements of a living body, in particular a human, preferably for detecting and analyzing nystagmus, comprising the following steps: creating (1) a video record by means of a mobile device, in particular by means of a smartphone or tablet, wherein the video record contains at least a portion of an eye-containing region of the face of the organism; extracting (2) still images from the video record at defined time intervals; a pupil center is defined (4) in each still image using a neural network, in particular a convolutional neural network, preferably a u-net convolutional neural network.

A computer-implemented system and method for pupil-directed retinal projection in near-eye displays are disclosed. The computer-implemented system provides smart glasses with directed physical pixels that project light beams / signals directly onto user's retina based on pupil position and size. The glasses comprise frame, lenses with directed pixel layers, sensors for tracking pupil movement. Each directed pixel generates multiple virtual pixels by rapidly changing its emission angle. Each directed pixel with pupil's real-time tracking, provides automatic adjustments to virtual contents, ensuring accurate alignment of images with field of view of users while identifying vergence-accommodation conflict. The glasses function as prescription lenses, virtual reality displays, augmented reality devices without traditional optical systems. Additional features include depth sensors, cameras, connectivity to peripheral devices. The glasses enable seamless blend of virtual and real-world experiences, creating immersive "Mixverse" environment. Various input methods, including gesture recognition and brain-computer interfaces, allow for intuitive control and interaction.

A light based pupil size measuring system includes at least one semiconductor light source including a cavity and configured to emit light onto an eye target. The system further includes at least one light sensor for converting a self-mixing interferometric (SMI) signal of the light backscattered from the eye target into the cavity into an electrical current or voltage and includes at least one processor configured to determine ocular pupillary movement of the eye target based on the converted SMI signal from the at least one light sensor.

There is provided a method for threat detection based on facial image analysis, the method comprises identifying a face from a facial image acquired from a camera, inferring an emotion corresponding to the face to obtain an emotion-based threat score based on the inferred emotion, obtaining an eye-based threat score based on a blink frequency of eyes on the face and a number of pupil movements in the face, and detecting whether a person corresponding to the face is in a threat situation based on a total threat score calculated by combining the emotion-based threat score and the eye-based threat score.

The invention discloses a virtual reality-based depression adjuvant therapy system, and relates to the field of photoelectric application virtual reality. The system comprises VR glasses, a camera module and a data processing module, and the data processing module is integrated in the VR glasses. After the patient wears the VR glasses, the VR glasses play the virtual interaction scene; the camera module is used for shooting a face image and a pupil image of a patient in real time; and the data processing module determines the emotion of each frame of the patient by adopting an emotion recognition model according to each frame of facial image, and tracks pupil position change by adopting a pupil tracking algorithm according to each frame of pupil image to obtain pupil movement change data of each frame, so that continuous multi-frame emotion and pupil movement change data are fused and analyzed, and the emotion and pupil movement change data are analyzed. Outputting a comprehensive emotion index of the patient; the VR glasses dynamically adjust virtual interaction scene parameters or switch virtual interaction scenes according to the comprehensive emotion index of the patient. The application can assist in treating depression, is convenient to use, and reduces the cost.

The present invention discloses an image processing algorithm for real-time extraction of pupil center and trajectory tracking in the closed-eye state. From the perspective of digital image processing, this algorithm first performs grayscale conversion, contrast enhancement, and smoothing processing on each frame of the input eye video. Then, by using adaptive threshold segmentation technology and combining morphological operations and the Canny edge detection operator, it can accurately extract the boundary of the pupil region. Subsequently, the least squares method based on geometric distance is used to accurately fit the elliptical parameters of the pupil contour, thereby obtaining the center coordinates and area information of the pupil, significantly improving the accuracy and reliability of pupil monitoring in the closed-eye state. By recording and analyzing the changes in the pupil center position in the time series, real-time tracking of the pupil movement trajectory is achieved. Finally, baseline correction and smoothing filtering processing are adopted to evaluate the pupil light reflex (PLR) in the closed-eye state before and after white light excitation. This method has the advantages of strong robustness, adaptability to light changes, high real-time performance, and high precision.