Methods and systems for diagnosing and treating higher order refractive aberrations of an eye
US-2017000334-A1 · Jan 5, 2017 · US
US11044449B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11044449-B2 |
| Application number | US-201916678243-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 8, 2019 |
| Priority date | Nov 27, 2017 |
| Publication date | Jun 22, 2021 |
| Grant date | Jun 22, 2021 |
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Approaches for optimized computer display rendering for user vision conditions are provided. A computer-implemented method includes: detecting, by a computer device, a user at the computer device; sending, by the computer device, data associated with the user to a server; receiving, by the computer device, settings from the server; and automatically rendering, by the computer device, a display of the computer device using the settings.
Opening claim text (preview).
What is claimed is: 1. A computer device comprising: a display, a processor, a computer readable memory, a computer readable storage medium, and program instructions stored on the computer readable storage medium for execution by the processor that cause the computer device to: detect a user at the computer device; send data associated with the user to a server; receive settings from the server; render the display based on the received settings; detect unprompted user actions associated with the display; communicate with the server to determine new settings based on analyzing the unprompted user actions; and re-render the display using the new settings. 2. The computer device of claim 1 , wherein: the display is a visual output device; and the rendering comprises adjusting resolution, color, contrast and brightness settings of the display. 3. The computer device of claim 1 , wherein the data associated with the user comprises data defining a vision condition of the user. 4. The computer device of claim 3 , wherein the vision condition comprises one selected from the group consisting of: protanopia, deuteranopia, tritanopia, and macular degeneration. 5. The computer device of claim 1 , wherein the detecting the user comprises detecting a device carried or worn by the user. 6. The computer device of claim 5 , wherein the computer device is configured to obtain the data associated with the user from the device carried or worn by the user. 7. The computer device of claim 6 , wherein the device carried or worn by the user comprises one or more selected from the group consisting of: an IoT device, a smartphone, and a wearable biometric device. 8. The computer device of claim 1 , wherein the detecting the user comprises a computer-based physical recognition technique. 9. The computer device of claim 8 , wherein the computer-based physical recognition technique comprises at least one from the group consisting of: facial recognition, finger print detection, retina and/or iris scanning, and voice recognition. 10. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer device to cause the computer device to: detect a user at the computer device; send data associated with the user to a server; receive settings from the server; render a display based on the received settings; obtain feedback from the user; and re-render the display based on the feedback, wherein the feedback is obtained via cognitive analysis of unprompted user actions associated with the display. 11. A computer-implemented method comprising: detecting a user at a computer device comprising a display; determining, by the computer device, settings based on a vision condition of the user and in response to the detecting the user at the computer device; rendering the display using the settings and in response to the detecting the user at the computer device; detect unprompted user actions associated with the display; determine new settings based on the analyzing the unprompted user actions; and re-render the display using the new settings. 12. The computer-implemented method of claim 11 , wherein: the display is a visual output device; and the rendering comprises adjusting one or more selected from the group consisting of: resolution, color, contrast and brightness; and the vision condition comprises one selected from the group consisting of: protanopia, deuteranopia, tritanopia, and macular degeneration. 13. The computer-implemented method of claim 11 , wherein the detecting the user comprises detecting a device carried or worn by the user, the device comprising one or more selected from the group consisting of: an IoT device, a smartphone, and a wearable biometric device. 14. The computer-implemented method of claim 13 , further comprising obtain data associated with the user from the device carried or worn by the user, the data including at least one selected from the group consisting of: a user identifier, and data defining the vision condition.
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