Systems for monitoring and regulating harmful blue light exposure from digital devices

1. A novel wellness application for digital usage comprising:

a thin film that reduces high energy visible blue light passing therethrough;

at least one software program that identifies a level of high energy visible light reduction provided by the thin film; and

a dosimeter for sending data about ionizing radiation to a software;

wherein the software tracks a total time of device usage; and

wherein the software, based on a dosimeter measurement received from the dosimeter, communicates with at least one processor to execute at least one of:

determine a notification for reducing exposure to high energy visible blue light transmitted through a user interface; and

adjust a display output by at least one of adjusting a color contrast and brightness, respective of visible light coverage and total time of device usage.

2. The novel wellness application of claim 1 , wherein the software further executes at least one of:

determines blue light hazard and tracks time to determine exposure with a score that is negative;

receives facial recognition data associated with a user, and wherein the software also receives at least one of: presence detection data and facial recognition associated with the user;

sends the data from the software to a remote server in communication with other computing devices associated with the user; and

receives data about a distance of the user from the computing device.

3. The novel wellness application of claim 1 , wherein the software uses a processor in communication with the display output, which includes at least red, green and blue light, to execute at least one of:

determine the level of blue light per frame of the display output; and

reduce, based on the data received from the dosimeter, a display output brightness;

wherein the dosimeter receives data associated with the reduced brightness of the display output; and

wherein the software sends data to at least one of the output display, graphics driver, and another processor, and receives at least part of a collection of data from via Extended Display Identification Data, or other sources.

4. The novel wellness application of claim 1 , wherein the software causes the at least one processor to change, based on the data received from the dosimeter, the display output color contrast.

5. The novel wellness application of claim 1 , wherein at least one of the software and the dosimeter determine a reduction value, based on data from the dosimeter, for blue light in the display output;

wherein an output display updates the output dosimeter receives data associated with the blue light of the reduction value; and

wherein the software sends data to at least one of the output display, graphics driver, and another processor, and receives at least part of a collection of data from via EDID, or other sources.

6. The novel wellness application of claim 1 ,

wherein user settings of at least one of computing device and the software is adjusted for time basis, cumulative, limits, usage monitor, time of day;

wherein the limits are at least one of daily limits, weekly limits, and monthly limits;

wherein color change is determined by the software when a color value is compared to a threshold and the comparison indicates the color change;

wherein the software adjustment is a dynamic color change that includes more change per dosage than the change being given in a non-dynamic color change;

wherein the software adjustment is a brightness change of the display output;

wherein the software adjustment is dynamic brightness change that includes more change per dosage than the change being given in a non-dynamic color change; and

wherein the software adjustments are made when the value of at least the brightness and color are determined to be above or below a threshold.

7. The novel wellness application of claim 1 ,

wherein user settings of at least one of computing device and the software is adjusted based on a blink rate of an eye of an user;

wherein blink rate is determined to be too high or too low;

wherein tracking user information is at least partially based on movement and time, and deviations are stored in association with an user identity; and

wherein a notification is sent to the display output with a warning.

8. The novel wellness application of claim 1 ,

wherein user settings of at least one of computing device and the software is adjusted based on a 20-20-20 rule associated with gaze detection;

wherein the software determines a warning notification for display at a graphical output;

wherein the warning notification is determined based on techniques using unfocused 3D image to change eye focus in a particular period of time; and

wherein a look away notification is determined when monitor gaze occurs in a period of time.

9. The novel wellness application of claim 1 ,

wherein computing device is in communication with a remote network for cloud aggregation, so software data stored locally and sent into the network that is associated with an user is accessed by user devices in communication with the network; and

wherein a data exchange in the network is traced, and the data exchange includes at least one of notification warnings, functions, and countdowns.

10. The novel wellness application of claim 1 ,

wherein the software receives squinting data associated with an user;

wherein artificial intelligence techniques are used with the software to identify squinting by the user;

wherein software data associated with the user that is received and sent into the network is aggregate data and accessible by computing devices associated with the user; and

wherein data associated with squinting that the software determines is below a threshold associated with healthy standards, then the software at least one of occurs;

receives input from a healthcare provider,

determines a warning associated with squinting,

sends a notification regarding poor focus,

determines if computing device settings are set at low brightness levels, and

determines if there are settings likely associated with causing the user to squint.

11. The novel wellness application of claim 1 , wherein the software processors have data exchange communication with a monitor (via at least one of I2C and EDID and USB alt channel communications), real-time and per monitor detection.

12. The novel wellness application of claim 1 , wherein the software executes dynamic artificial intelligence control of content, including but not limited to the areas of:

video data images frame modified;

content largely white or whitish images modified for lower blue light in red, green, and blue light;

user input to learning likelihood of preferred modifications for indicting modification being done for display outputs and not being done for display outputs; and

changing color of certain color pixels and/or groups of pixelation with complimentary color schemes.

13. The novel wellness application of claim 1 , wherein computing device implements executed changes in monitor scalar or in graphics driver, or in other processors.

14. The novel wellness application of claim 1 , further comprising a network server that receives data from the at least one software program and is in communication with other devices that access data sent by the at least one software program.

15. The novel wellness application according to claim 1 , wherein software adjusts the level of blue light coverage taking into account the level of visible light coverage and total time of device usage;

wherein the application determines wellness indications based on received biometrics data associated with an user and the device usage; and

wherein the software determines a wellness score based on the level of visible light coverage and total time of device usage.

16. The novel wellness application according to claim 3 , wherein the high energy visible light has at least one of a wavelength of between about 415 nm to about 455 nm, a wavelength of between about 380 nm and about 500 nm, or both.

17. A method of using a wellness application for digital usage comprising the steps of:

identifying, with a software program, a level of high energy visible light reduction provided by a thin film, and

sending, based on a dosimeter measurement, data about ionizing radiation to a software;

wherein the software tracks the total time of device usage; and

wherein the software, based on a dosimeter measurement received from the dosimeter, communicates with at least one processor to execute at least one of:

determine a notification for reducing exposure to high energy visible blue light transmitted through a user interface;

adjust a display output by at least one of adjusting a color contrast and brightness; and

adjust the level of blue light coverage taking into account the level of visible light coverage and total time of device usage.

18. A novel filter and wellness application for digital usage, comprising:

biometric tracking hardware; and

software that identifies a level of high energy visible light reduction provided by a thin film, wherein:

the hardware and software combined track data for at least active screen time, light energy output, and a biometric input,

the software analyzes the tracked data to determine overall blue light exposure,

the software compares the overall blue light exposure to a predetermined threshold, and

the software adjusts blue light levels when the overall blue light exposure exceeds the predetermined threshold.

19. The novel filter and wellness application of claim 18 , wherein the application includes at least one of:

the biometric input is chosen from the group consisting of angle of gaze, blink rate, partial blink rate, palpebral aperture, age, gender, hand to eye movement, vitals sensing, temperature, posture, and combinations therefrom;

the hardware and software further track distance from an user's eye to a display, ambient lighting, screen breaks, physical activity levels of an user, time spent standing, time spent sitting, and combination thereof; and

the overall blue light exposure is calculated as a score, and the hardware further contains a filter that reduces high energy visible blue light passing therethrough.