CHANGING SCREEN BRIGHTNESS OF A COMPUTING DEVICE

• US 20170079118A1
• Filed: 05/28/2014
• Published: 03/16/2017
• Est. Priority Date: 05/28/2014
• Status: Active Grant

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: CHEN, CHUN-CHIEH
• Granted Patent: US 10,015,863 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/013 Eye tracking input arrangements G06F3/015 takes precedence
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06V 40/19 Sensors therefor
• CPC Class Codes: G06V 40/193 Preprocessing; Feature extraction
• CPC Class Codes: G09G 2320/0613 The adjustment depending on the type of the information to be displayed
• CPC Class Codes: G09G 2320/0626 for control of overall brightness
• CPC Class Codes: G09G 2360/144 the light being ambient light
• CPC Class Codes: G09G 5/10 Intensity circuits
• CPC Class Codes: H05B 47/11 by determining the brightness or colour temperature of ambient light
• CPC Class Codes: H05B 47/125 by using cameras
• CPC Class Codes: Y02B 20/40 Control techniques providing energy savings, e.g. smart controller or presence detection

Abstract

Examples relate to changing screen brightness of a computing device. One example enables determination of whether the computing device is being used for one of a set of predetermined application types. The screen brightness of the computing device may be changed based on a set of first brightness values associated with the first predetermined application type responsive to the computing device being used for a first predetermined application type and based on a set of second brightness values associated with the second predetermined application type responsive to the computing device being used for a second predetermined application type.

Claims

1. A system for changing screen brightness of a computing device, the system comprising:

a usage determination engine to determine whether the computing device is being used for one of a set of predetermined application types; and

a brightness adjustment engine to;

change the screen brightness of the computing device based on a set of first brightness values associated with the first predetermined application type responsive to the computing device being used for a first predetermined application type; and

change the screen brightness of the computing device based on a set of second brightness values associated with the second predetermined application type responsive to the computing device being used for a second predetermined application type.

2. The system of claim 1, further comprising:

a brightness learning engine to determine the set of first brightness values for the first predetermined application type.

3. The system of claim 2, further comprising:

a camera to monitor pupil dilation of a user of the computing device,

wherein the brightness learning engine determines the set of first brightness values for the first predetermined application type based on the monitored pupil dilation of the user.

4. The system of claim 2, wherein the brightness learning engine determines the set of first brightness values by determining an optimal brightness curve for the predetermined application type based on a determined ambient light value and the first predetermined application type.

5. The system of claim 1, further comprising:

an application type selection engine to determine the predetermined application types responsive to usage of the computing device.

6. A system for changing screen brightness of a computing device, the system comprising:

a LED determination engine to determine whether a set of LED devices is being used in the proximity of the computing device;

a brightness adjustment engine to;

change the screen brightness of the computing device based on a set of first LED brightness values associated with the first LED device and a determined ambient light value responsive to the first LED device being used in the proximity of the computing device.

7. The system of claim 6, further comprising:

a brightness learning engine to determine the set of first LED brightness values associated with the first LED device.

8. The system of claim 7, further comprising:

a camera to monitor pupil dilation of a user of the computing device,

wherein the brightness learning engine determines the set of first LED brightness values based on the monitored pupil dilation of the user and a determined brightness value of the first LED device.

9. The system of claim 7, wherein the brightness learning engine determines the set of first brightness values by determining an optimal brightness curve associated with the first LED device based on a determined ambient light value and a determined brightness value of the first LED device.

10. The system of claim 6, wherein the brightness adjustment engine changes the screen brightness of the computing device based on the set of first LED brightness values associated with the first LED device and a set of second LED brightness values associated with a second LED device responsive to the first LED device and the second LED device being used in the proximity of the computing device.

11. A method for changing screen brightness of a computing device, comprising:

determining whether he computing device is being used for one of a set of predetermined application types;

responsive to the computing device being used for a first predetermined application type, changing the screen brightness of the computing device based on a set of first brightness values associated with the first predetermined application type;

responsive to the computing device being used for a second predetermined application type, changing the screen brightness of the computing device based on a set of second brightness values associated with the second predetermined application type;

determining whether a set of LED devices is being used in the proximity of the computing device; and

responsive to a first LED device being used in the proximity of the computing device, changing the screen brightness of the computing device based on a set of first LED brightness values associated with the first LED device and a determined ambient light value.

12. The method of claim 11, further comprising:

monitoring, by a camera communicably coupled to the computing device, pupil dilation of a user of the computing device; and

determining the set of first brightness values based on the monitored pupil dilation of the user.

13. The method of claim 12, further comprising:

determining the set of first brightness values by determining an optimal brightness curve for the predetermined application type based on a determined ambient light value and the first predetermined application type.

14. The method of claim 12, further comprising:

determining the set of first LED brightness values based on the monitored pupil dilation of the user and a determined brightness value of the first LED device.

15. The method of claim 11, further comprising:

responsive to the computing device being used for the first predetermined application type and responsive to the first LED device being used in the proximity of the computing device, changing the screen brightness of the computing device based on the set of first brightness values associated with the first predetermined application type, the set of first LED brightness values associated with the first LED device, and a determined ambient light value.