Abstract: A gait evaluating system including a processor is provided. The processor identifies whether a gait type of the user belongs to a normal gait, a non-neuropathic gait or a neuropathic gait based on step feature values of a user and walking limb feature values of the user. In response to that the gait type of the user belongs to the non-neuropathic gait, the processor controls the display panel to display a first auxiliary information, a second auxiliary information, and a third auxiliary information. The first auxiliary information indicates a potential sarcopenia of the user. The second auxiliary information indicates a dietary guideline for muscle building and muscle strengthening. The third auxiliary information shows a motion instruction video for regaining or maintaining muscle strength of the user.

Abstract: A pupil tracking method includes: retrieving an external eye image of a subject, wherein the external eye image includes a pupil of the subject; performing an image preprocessing on the external eye image, wherein the image preprocessing includes performing a binary conversion on the external eye image to obtain a binary image; finding out a contour boundary of each feature in the binary image, and finding out a pupil feature based on a variance of a distance from the contour boundary of each feature to a corresponding reference point; fitting the contour boundary of the pupil feature by a boundary fitting method to find a center coordinate of the pupil feature. The abovementioned pupil tracking method can track the pupil of the subject's eyeball without using a stereo camera. An ophthalmology inspection device using the abovementioned pupil tracking method is also disclosed.

Abstract: A method is implemented by a control terminal communicable with a computer, and includes: receiving a modification request, obtaining a configuration path that contains a target option name of a target option to be modified and a target page name of a target page; obtaining a current page name of a current page presented in a current setup screen of BIOS of the computer; transmitting a control instruction to the computer so as to enable the computer to switch contents presented in the current setup screen from the current page to the target page, and to change option selection from a current option to the target option; and transmitting a modification instruction to the computer so as to enable the computer to modify the target option to have a target configuration value.

Abstract: A method is implemented by a control terminal communicable with a computer, and includes: receiving a modification request, obtaining a configuration path that contains a target option name of a target option to be modified and a target page name of a target page; obtaining a current page name of a current page presented in a current setup screen of BIOS of the computer; transmitting a control instruction to the computer so as to enable the computer to switch contents presented in the current setup screen from the current page to the target page, and to change option selection from a current option to the target option; and transmitting a modification instruction to the computer so as to enable the computer to modify the target option to have a target configuration value.

Abstract: A method for identifying a boot stage of a BIOS of a computer device is provided. A control terminal receives screen information data indicative of a current BIOS screen image of the computer device, acquires current screen information based on the screen information data, acquires feature vector based on the current screen information, uses an image classification model to classify the current information into a screen category, and generates boot stage information indicative of a boot stage corresponding to the screen category.

Abstract: A method for identifying a boot stage of a BIOS of a computer device is provided. A control terminal receives screen information data indicative of a current BIOS screen image of the computer device, acquires current screen information based on the screen information data, acquires feature vector based on the current screen information, uses an image classification model to classify the current information into a screen category, and generates boot stage information indicative of a boot stage corresponding to the screen category.