PRESENTATION OF ELECTRONIC CONTENT ACCORDING TO DEVICE AND HEAD ORIENTATION

1 . A smart watch, comprising:

at least one processor;

a display accessible to the at least one processor; and

storage accessible to the at least one processor and comprising instructions executable by the at least one processor to:

identify an orientation of a user’s head;

identify an orientation of the smart watch with respect to the user’s head;

based on the orientation of the user’s head and the orientation of the smart watch resulting in a first angular position of the smart watch with respect to the orientation of the user’s head, present first content on the display in a content orientation that is maintained with respect to a reference for the first content to appear upright on the display relative to the reference; and

based on the orientation of the user’s head and the orientation of the smart watch resulting in a second angular position of the smart watch with respect to the orientation of the user’s head, present second content on the display in the content orientation that is maintained with respect to the reference for the second content to appear upright on the display relative to the reference, wherein the second angular position is different from the first angular position, and wherein the second content is different from the first content.

2 . The smart watch of claim 1 , wherein the reference is the user’s line of sight to the display as determined from the orientation of the user’s head, and wherein the content orientation is a twelve o′clock orientation with respect to the user’s line of sight.

3 . The smart watch of claim 1 , comprising a camera accessible to the at least one processor, and wherein the instructions are executable to:

receive input from the camera; and

identify the orientation of the user’s head based on the input from the camera.

4 . The smart watch of claim 3 , wherein the instructions are executable to:

based on the input from the camera, identify an orientation of a body part of the user besides the user’s head, the body part comprising one or more of: the user’s neck, the user’s torso, a shoulder of the user; and

deduce the orientation of the user’s head based on the orientation of the body part.

5 . The smart watch of claim 3 , wherein the instructions are executable to:

based on the input from the camera, identify the orientation of the smart watch.

6 . The smart watch of claim 1 , comprising at least one motion sensor accessible to the at least one processor, wherein the instructions are executable to:

based on input from the at least one motion sensor, identify the orientation of the user’s head.

7 . The smart watch of claim 6 , wherein the instructions are executable to:

based on input from the at least one motion sensor, identify movement of the smart watch; and

based on the movement of the smart watch, identify the orientation of the user’s head.

8 . The smart watch of claim 6 , wherein the instructions are executable to:

based on input from the at least one motion sensor, identify an activity of the user; and

based on the activity of the user, identify the orientation of the user’s head.

9 . The smart watch of claim 1 , comprising an ultra-wideband (UWB) transceiver accessible to the at least one processor, wherein the instructions are executable to:

use the UWB transceiver to receive one or more first UWB signals from a device different from the smart watch; and

identify the orientation of the user’s head based on UWB location tracking that is executed using the one or more first UWB signals.

10 . The smart watch of claim 9 , wherein the instructions are executable to:

use the UWB transceiver to receive one or more second UWB signals from the device; and

identify the orientation of the smart watch based UWB location tracking that is executed using on the one or more second UWB signals.

11 . The smart watch of claim 10 , wherein the one or more second UWB signals are different from the one or more first UWB signals.

12 . A method, comprising:

identifying an orientation of a user’s head;

based on the orientation of the user’s head resulting in a first angular position of a device with respect to the orientation of the user’s head, predictively presenting first content on a display of the device in a content orientation that is maintained with respect to a reference for the first content to appear upright on the display relative to the reference; and

based on the orientation of the user’s head resulting in a second angular position of the device with respect to the orientation of the user’s head, predictively presenting second content on the display in the content orientation that is maintained with respect to the reference for the second content to appear upright on the display relative to the reference, wherein the second angular position is different from the first angular position, and wherein the second content is different from the first content.

13 . (canceled)

14 . The method of claim 12 , wherein the reference is a direction in which the user’s face is oriented as determined from the orientation of the user’s head, and wherein the content orientation is a twelve o′clock orientation with respect to the direction in which the user’s face is oriented.

15 . (canceled)

16 . A device, comprising:

a housing;

a display on the housing and configured to electronically presentcontent;

an orientation sensor configured to sense an angular orientation of the housing; and

at least one processor programmed with instructions to:

based on first signals from the orientation sensor indicating a first angular orientation of the device with respect to a reference, present first content on the display in a content orientation that is maintained with respect to the reference for the first content to appear upright on the display relative to the reference; and

based on second signals from the orientation sensor indicating a second orientation of the device with respect to the reference, present second content on the display in the content orientation that is maintained with respect to the reference for the second content to appear upright on the display relative to the reference, wherein the second angular orientation is different from the first angular orientation, and wherein the second content is different from the first content.

17 . The device of claim 16 , wherein the instructions are executable to maintain the content orientation as the housing turns.

18 . (canceled)

19 . The device of claim 16 , wherein the reference comprises a location of a user of the device.

20 . (canceled)

21 . The smart watch of claim 1 , wherein the first angular position is associated with a first content type, wherein the first content is selected for presentation on the display based on the first content being associated with the first content type, wherein the second angular position is associated with a second content type different from the first content type, and wherein the second content is selected for presentation on the display based on the second content being associated with the second content type.

22 . The smart watch of claim 21 , wherein the first angular position is determined to be associated with the first content type based on a first output from at least one artificial neural network (ANN) trained through machine learning, and wherein the second angular position is determined to be associated with the second content type based on a second output from the at least one ANN.

23 . The smart watch of claim 1 , wherein the first angular position is associated with the first content such that the first content is selected for presentation on the display based on the first content being associated with the first angular position, and wherein the second angular position is associated with the second content such that the second content is selected for presentation on the display based on the second content being associated with the second angular position.

24 . The smart watch of claim 23 , wherein the first angular position is determined to be associated with the first content based on a first output from at least one artificial neural network (ANN) trained through machine learning, and wherein the second angular position is determined to be associated with the second content based on a second output from the at least one ANN.