6 results about "Fixation time" patented technology

The invention provides a cognitive impairment screening system. A cognitive impairment screening system comprises an eye movement tracker, a testing end device, a tested end device and a processing device. The testing end device responds to the configuration operation of the testee and generates a test process of the subject, and the test process comprises test tasks corresponding to the cognitive competence of at least one dimension; the tested end device is provided with a first display device, and the test content corresponding to each test task is sequentially and visually displayed through the first display device; the eye movement tracker collects eye movement data of the subject for each test task in the test process and transmits the eye movement data to the processing equipment; the processing device determines a cognitive screening index for the eye movement data, and generates a screening recommendation result according to the cognitive screening index; the cognitive screening index comprises at least one of the test result accuracy data of the test task and the fixation time ratio of the region of interest in the test task, so that the cognitive impairment screening efficiency and accuracy are improved.

Provided herein are systems, methods, and computer program products for determining partial impulsivity of a user of a virtual or augmented reality system. A virtual environment having a plurality of targets is provided. A visual stimulus is provided at a target. A first period of time from when the first visual stimulus is provided to when a user fixates on the visual stimulus, a first acceleration of the body part, a second period of time from when the first visual stimulus is provided to when the first acceleration occurs, a second acceleration (deceleration) of the body part, a third period of time from when the first acceleration occurs to when the velocity of the body part is zero is determined, a total fixation time on the visual stimulus, a total number of impulsive movements in a session, and an impulsivity score are determined.

The application discloses a kind of refraction and visual function rehabilitation intelligent glasses based on AI real-time image correction.The method comprises the following steps: collecting physiological parameters of both eyes respectively and independently;Pixel compensation parameters are generated by local chip or cloud server conversion;Pixel-level displacement, scaling, distortion correction is performed on the real scene picture, and the corrected picture is output;The compensation parameter is reduced in a fixed time period step by step;The above steps are executed cyclically.The application also protects the hardware device of the intelligent glasses that implements the method, and the acquisition module installation position, operation carrier and parameter adjustment period all have diversified implementation paths.The application is different from the existing scheme based on adjustable physical lenses, which completely replaces the physical lens light path adjustment through digital image correction, realizes instant correction and gradual rehabilitation.The application belongs to the image processing display control method, and does not involve the diagnosis and treatment of diseases.

The invention discloses a myopia prevention and control method based on a wearable device, the wearable device and a storage medium, and relates to the technical field of wearable device.The method comprises the steps that a first image representing user eye information is collected, and a second image representing a user cornea area in the first image is extracted; performing spherical distortion removal processing on the second image to obtain a target cornea reflection image; multi-dimensional dynamic analysis is carried out on the target cornea reflection image to obtain multi-dimensional evaluation information, and the multi-dimensional dynamic analysis comprises target object recognition, distance speculation and illumination detection; in response to the situation that the multi-dimensional evaluation information does not meet preset myopia prevention and control conditions, it is determined that the myopia risk exists, preset prompt information for prompting the user that the myopia risk exists is output, and the preset myopia prevention and control conditions comprise at least one of the fixation time condition, the fixation distance condition and the illumination intensity condition. According to the method, the hardware cost of the wearable equipment is not increased, and meanwhile, accurate myopia prevention and control are realized.

The invention discloses a method and equipment for inducing and analyzing a convergence-divergence related potential, relates to the technical field of computer display, electroencephalogram, event related potential and eye vision optics, and aims to provide a user with an electroencephalogram cap for performing a binocular split vision test, presenting a group of dot matrixes in front of each eye, obtaining a complete image through binocular image fusion, and displaying the complete image on the basis of the binocular split vision test. Image observation is carried out twice in a fixed time, if the images of the two image observation are different, a judgment key is pressed down, and the key judgment time and the electroencephalogram signals of the second image observation from beginning to end are recorded. According to the invention, more objective inspection index data is provided for research of the gathering and diverging function.

This invention relates to the field of human-computer interaction and interface optimization, and discloses a method for optimizing the visual hierarchy of an interface based on eye tracking. The method includes: acquiring a set of interface elements of the interface to be optimized, and constructing a target visual hierarchy map based on a preset interaction task flow, the functional type of each interface element, and its information priority; collecting eye tracking data during the user's execution of a preset interaction task, the eye tracking data including first fixation time, cumulative fixation duration, number of regressions, and saccade shift relationships; determining the perception priority parameters of each interface element based on the eye tracking data, and constructing an actual perception hierarchy map; comparing the actual perception hierarchy map with the target visual hierarchy map to identify hierarchy deviation element groups and their corresponding deviation types; and calling the corresponding visual expression parameter reconstruction rules according to the deviation type to locally reconstruct the hierarchy deviation element groups while maintaining the preset interface structure constraints.