Electronic device for monitoring health of eyes of user and method for operating the same

1. A method for monitoring health of eyes of a user of an electronic device performed by at least one processor of the electronic device, the method comprising:

identifying an ambient light level around the electronic device; and

while the identified ambient light level is below a first threshold:

identifying a lumen output of at least one content displayed on a display of the electronic device for an interval;

identifying a variation in a pupil size of the user by using a first model for estimating the variation in the pupil size of the user based on inputs of the first model, wherein the inputs of the first model include the identified lumen output and at least one user profile;

generating an eye health index for the user using a second model which generates the eye health index for the user based on evaluating the at least one user profile, the lumen output of the at least one content, and at least one activity of the user with respect to the identified variation in the pupil size of the user; and

controlling a brightness setting of the display according to the eye health index for the user.

2. The method of claim 1 , wherein identifying the lumen output of the at least one content to be displayed includes:

identifying a luminance of the at least one content and a backlight level; and

identifying the lumen output of the at least one content based on a relation between the luminance of the at least one content to be displayed and the backlight level.

3. The method of claim 2 , wherein the lumen output of the at least one content indicates a total light to be emitted from the display and a corresponding luminance variance.

4. The method of claim 2 , wherein the relation between the luminance of the at least one content and the backlight level is identified as at least a part of a lumen model based on machine learning.

5. The method of claim 1 , further comprising:

based on identifying that the ambient light level is below a second threshold, displaying at least one tag corresponding to each of the at least one content based on the eye health index,

wherein the at least one tag includes at least one of a safe tag, an unsafe tag, and a range tag.

6. The method of claim 1 , further comprising displaying, on the display, at least one recommendation regarding display settings based on the eye health index for the user.

7. The method of claim 1 , further comprising:

based on identifying a change in the at least one content, identifying a new eye health index; and

displaying, on the display, the at least one content according to the new eye health index.

8. An electronic device for monitoring health of eyes of a user, the electronic device comprising:

a display; and

at least one processor configured to:

identify an ambient light level around the electronic device; and

while the identified ambient light level is below a first threshold:

identify a lumen output of at least one content displayed on the display for an interval;

identify a variation in a pupil size of the user by using a first model for estimating the variation in the pupil size of the user based on inputs of the first model, wherein the inputs of the first model include the identified lumen output and at least one user profile;

provide an eye health index for the user using a second model which generates the eye health index for the user based on evaluating the at least one user profile, the lumen output of the at least one content, and at least one activity of the user with respect to the identified variation in the pupil size of the user; and

control a brightness setting of the display according to the eye health index for the user.

9. The electronic device of claim 8 , wherein the at least one processor is further configured to:

identify a luminance of the at least one content and a backlight level; and

identify the lumen output of the at least one content based on a relation between the luminance of the at least one content and the backlight level.

10. The electronic device of claim 9 , wherein the lumen output of the at least one content indicates a total light to be emitted from the display and a corresponding luminance variance.

11. The electronic device of claim 9 , wherein the relation between the luminance of the at least one content and the backlight level is identified as at least a part of a lumen model based on machine learning.

12. The electronic device of claim 8 , wherein the variation in the pupil size of the user is identified based on a Holladay formula.

13. The electronic device of claim 8 , wherein the second model is identified based on hierarchical regression modeling.

14. The electronic device of claim 8 , wherein the at least one processor is further configured to:

based on identifying that the ambient light level is below a second threshold, display at least one tag corresponding to each of the at least one content based on the eye health index for the user,

wherein the at least one tag includes at least one of a safe tag, an unsafe tag, and a range tag.

15. The electronic device of claim 8 , wherein the at least one processor is further configured to display, on the display, at least one recommendation regarding display settings based on the eye health index for the user.

16. The electronic device of claim 8 , wherein the at least one processor is further configured to:

based on identifying a change in the at least one content, identify a new eye health index; and

display, on the display, the at least one content according to the new eye health index.

17. The electronic device of claim 8 , wherein the interval is variable.