2 results about "Fixation time" patented technology

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.

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.