Eye fatigue detection method, device and user device
A technology for eye fatigue and detection devices, which is applied in the direction of eye testing equipment, psychological devices, user/computer interaction input/output, etc., can solve problems such as injury, user vision loss, eye damage, etc., and achieve the effect of eye protection
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Embodiment 1
[0058] see figure 1 , figure 1 It is a schematic flowchart of a method for detecting eye fatigue disclosed in an embodiment of the present invention. Such as figure 1 As shown, the eyestrain detection method may comprise the following steps:
[0059] 101. When it is detected that the user's eyes are watching the display screen of the user equipment, the user equipment acquires an eye movement parameter of the user.
[0060] Wherein, the eye movement parameters may include but not limited to eyelid opening value, pupil diameter and blinking frequency. The eyelid opening value is the distance between the upper eyelid and the lower eyelid. The pupil diameter can be obtained through the pupil diameter measurement module on the user device. The user device can record the number of blinks by detecting the heat change generated when the user's eyes are opened and closed through an infrared sensor. Then calculate the blink rate.
[0061] 102. The user equipment performs weighted ...
Embodiment 2
[0070] see figure 2 , figure 2 It is a schematic flowchart of another eye fatigue detection method disclosed in an embodiment of the present invention. Such as figure 2 As shown, the eyestrain detection method may comprise the following steps:
[0071] 201. When it is detected that the user's eyes are watching the display screen of the user equipment, the user equipment acquires an eye movement parameter of the user.
[0072] 202. The user equipment performs weighted summation of the eye movement parameters to obtain a weighted sum value, and determines the weighted sum value as the eye fatigue degree of the user.
[0073] 203. The user equipment acquires attribute information of the user's eyes.
[0074] Wherein, the attribute information includes eye ametropia information, eye disease information, and eye development information.
[0075] Eye ametropia usually refers to the situation that the user suffers from hyperopia, nearsightedness, astigmatism, and blurred visi...
Embodiment 3
[0093] see image 3 , image 3 It is a schematic flowchart of another eye fatigue detection method disclosed in an embodiment of the present invention. Such as image 3 As shown, the eyestrain detection method may comprise the following steps:
[0094] 301. When it is detected that the user's eyes are looking at the display screen of the user equipment, the user equipment acquires an eye movement parameter of the user.
[0095] 302. The user equipment performs weighted summation of the eye movement parameters to obtain a weighted sum value, and determines the weighted sum value as the eye fatigue degree of the user.
[0096] 303. The user equipment acquires attribute information of the user's eyes.
[0097] Wherein, the attribute information includes eye ametropia information, eye disease information, and eye development information.
[0098] 304. The user equipment acquires age information of the user and light intensity information of an environment where the user equipme...
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