64 results about "Saccade" patented technology

An adaptive image acquisition system and method that generates virtual view of a surveillance scene to a user (operator), in which, the user operates the system. Through viewing the virtual view, the user controls sensors that create the virtual view. The sensors comprise at least one first sensor having a higher resolution than at least one second sensor. Images from the second sensor are processed to create an image mosaic that is overlaid with images from the higher resolution first sensor. In one embodiment of the invention, the first sensor is moved using Saccade motion. In another embodiment of the invention, a user's intent is used to control the Saccade motion.

A system and method of adaptively establishing fixation thresholds for eye-gaze tracking data and identifying fixations within the eye-gaze tracking data are disclosed. Eye-gaze tracking data is collected. A saccade estimate may be calculated using a percentile statistic of the changes in eye-gaze position. Fixations may be determined by comparing the saccade estimates with the changes in eye-gaze positions over time windows.

A video oculography system for calculation and display of Corrective Secondary Saccades Analysis is disclosed. A method for Objective Diagnostics of at least one of traumatic brain injury, Internuclear Opthalmopligia, Ocular Lateral Pulsion, Progressive Supernuclear Palsy And Glissades comprises the steps of using a VOG system to calculate corrective saccades. The video oculography based system for the subject is configured to collect eye images of the patient in excess of 60 hz and configured to resolve eye movements smaller than at least 3 degrees of motion. The video oculography based system collects eye movement data wherein at least one fixation target is presented to the subject in a defined position configured to yield a voluntary saccadic eye response from at least one eye of the patient. The latency, amplitude, accuracy and velocity of each respective corrective saccade and totals latency and accuracy is calculated.

A computer-implemented method infers mental states of a person from eye movements of the person. The method includes identifying elementary features of eye tracker data, such as fixations and saccades, and recognizing from the elementary features a plurality of eye-movement patterns. Each eye-movement pattern is recognized by comparing the elementary features with a predetermined eye-movement pattern template. A given eye-movement pattern is recognized if the elementary features satisfy a set of criteria associated with the template for that eye-movement pattern. The method further includes the step of recognizing from the eye-movement patterns a plurality of eye-behavior patterns corresponding to the mental states of the person. Because high level mental states of the user are determined in real time, the method provides the basis for reliably determining when a user intends to select a target.

A visual field calculation apparatus capable of accurately calculating a visual field range of a user without using a complex configuration is provided. The visual field calculation apparatus includes a saccade detector that detects a saccade on the basis of a first gaze direction detected at a first timing and a second gaze direction detected at a second timing, a saccade speed calculator that calculates speed of the saccade on the basis of a time difference between the first timing and the second timing, the first gaze direction, and the second gaze direction, and a visual field range calculator that calculates a displacement vector of a saccade whose speed exceeds a first threshold, and calculates an area including a final point of the displacement vector as the visual field range of the user.

A system and method for assessing sexual attention of a test subject comprising: a computer readable medium; a display; an eye-tracking sensor; a set of display sets where each display set has images representing individuals having a plurality of different genders and age groups wherein each display set contains images having a unique combination of gender and age group; and; a set of computer readable instructions embodied in said computer readable medium for display said display sets on said display, determining the test subject's eye fixation time for each image, determining the test subjects saccade time for each displayed image, determining a gaze score according to said fixation time and said saccade time, and determining a gaze score for each combination of gender and age group.

Provided are an image processing device and an image processing method for acquiring a consciousness level at which a driver recognizes a surrounding environment on the basis of an image of the driver picked up by an in-vehicle camera.

An image of an eyelips is picked up by an in-vehicle camera 100 at low resolution and eye positions grasped in the image analysis are corrected for each frame while being subjected to local high-speed processing in parallel, whereby the tracking of the saccade among eyeball movement is realized. That is, active local high-speed eye tracking is performed only on a capture frame 102 in an image picked up by the in-vehicle camera 100, whereby it becomes possible to monitor the saccade of the eye movement without causing an attachment load.

According to the invention, a system for presenting graphics on a display device is disclosed. The system may include an eye tracking device for determining a gaze point of a user on a display device. The system may also include a graphics processing device for causing graphics to be displayed on the display device. The graphics displayed on the display device may be modified such that the graphics in an area including the gaze point of the user have at least one modified parameter relative to graphics outside the area. The size of the area may be based at least in part on an amount of noise in the gaze point over time and at least one other secondary factor.

A scanning display includes plural light sources, and a scanner for two-dimensionally scanning a scanning area in a scanning surface from lights from the plural light sources, wherein the scanner scans plural partial scanning areas that are arranged in a first direction within a range corresponding to the scanning area, by using mutually different lights from the plural light sources, the scanner scanning each partial scanning area at a first speed in the first direction and at a second speed higher than the first speed in a second direction different from the first direction, and wherein FR≧(ω×Z)/(ω×Fov) is met, where FR is a scanning frequency (Hz) of the light in the first direction of the partial scanning area, ω is an oculomotor angular speed (°/sec) in a saccade, Z is the number of partial scanning areas arranged in the first direction in the scanning area, α is a constant relating to an effective scanning period in one scanning period in the first direction, and Fov is an entire view angle (°) in the first direction

The invention discloses a method and a system for determining a student status in remote online teaching. The method comprises steps: eye coordinates of the student acquired by an eye tracker at a preset frequency are acquired; according to the eye coordinates and a corresponding acquisition moment, the fixation time duration and the saccade time duration of the eyes of the student are calculated;and according to the fixation time duration and the saccade time duration, whether the student is in an absent-minded status, an irritable status or a focusing state can be determined. According to the method and the system of the invention, a teacher can be assisted to know the online learning state of the student more comprehensively.

A method is described for recognizing fatigue, the method comprising an ascertaining step, a determining step, and a comparing step. In the ascertaining step a first saccade and at least one further saccade of an eye movement of a person are ascertained using a gaze direction signal that models the eye movement. In the determining step, a first data point representing a first amplitude of the first saccade and a first peak velocity of the first saccade, and at least one further data point representing a further amplitude of the further saccade and a further peak velocity of the further saccade, are determined using the gaze direction signal. In the comparing step, the first data point and at least the further data point are compared with a saccade model. The person is recognized as fatigued if the data points have a predetermined relationship to a confidence region of the saccade model.

The invention discloses a visual fatigue state detection method and device and head-mounted visual equipment. The visual fatigue state detection method includes: respectively determining eye state detection results of users in per unit time according to eye parameter information acquired per unit time of first preset duration, wherein the eye parameter information includes at least one of the following: blink frequency and saccade frequency; determining cumulative time of visual fatigue states of the users in the first preset duration to exceed a first preset threshold through the eye state detection results in the per unit time; sending warning messages to the users, wherein the warning messages are used for indicating that the users are currently in visual fatigue states. Therefore, technical problems that fatigue detection schemes provided in related technologies are lagging in fatigue detection, complicated in operation, limited in accuracy and inapplicable for eye fatigue detection in VR (virtual reality) experience are solved.

According to the invention, techniques for refining a ballistic prediction are described. In an example, an eye tracking system may record images over time of content presented on a display. Saccade data may be received and used as a trigger to retrieve particular ones of the recoded images. The eye tracking system may compare the images to identify a change in the content. The location of this change may correspond to a sub-area of the display. The output of the ballistic prediction may include a landing point that represents an anticipated gaze point. This landing point may be adjusted such that a gaze point is now predicted to fall within the sub-area when the change is significant.

An iris verification device includes: an imaging section for taking an image of an eye of a user; a first saccade indicator for pointing a sight line of the user; a second saccade indicator, which is placed apart from the first saccade indicator, for pointing the sight line of the user; a sight line detecting section for detecting the sight line of the user from the image taken at the imaging section; an iris image sampling section for sampling an iris image from the image taken at the imaging section; a verification section for performing an iris verification act based on the iris image sampled at the iris image sampling section. Variation of the sight line of the user accompanied by the lighting-up of the first saccade indicator or the second saccade indicator is detected as biological reaction by using the sight line detecting section.

The invention provides a saccade path prediction method and device based on machine learning, which relates to the computer technical field. The method comprises the following steps of obtaining an image data set to be processed, wherein each image information in the image data set has corresponding truth value information; obtaining an image data set to be processed; preparing a training sample of the image data set according to the truth value information; obtaining image feature representation information of the image information according to the image information; constructing and trainingan LSTM network according to the image feature representation information and the eye movement data sample; and predicting a scanning path according to the LSTM network. The invention solves the problem that the predicted fixation is too dependent on the static saliency graph in the prior art, and the technical problem that the predicted saccade path is insufficient in the natural scene pictures,thereby eliminating the dependence of the model on the saliency graph and achieving the good technical effect on a plurality of common data sets in consideration of the temporality between the fixation points.