Gaze-based user interface with assistant features for smart glasses in immersive reality applications

1. A computer-implemented method, comprising:

identifying an eye gesture of a user of a headset, based on an eye-tracking signal;

assessing a user intention for a selection in a user interface in the headset based on the eye gesture;

activating an aspect of a display in the user interface based on the user intention;

identifying, in the user interface in the headset, an object of the user intention; and

displaying, on at least one eyepiece of the headset, a virtual assistant to indicate to the user an attribute of the object of the user intention that is relevant to the user.

2. The computer-implemented method of claim 1 , further comprising:

displaying, on the at least one eyepiece of the headset, an application interface for the user of the headset,

wherein identifying the eye gesture of the user further comprises highlighting an icon in the application interface; and

wherein activating the aspect of the display in the user interface further comprises activating an application corresponding to the selection based on the user intention and activating the icon in the application interface.

3. The computer-implemented method of claim 1 , further comprising receiving a signal from a second wearable device on a user wrist, and identifying a hand gesture of the user based on the signal from the second wearable device, wherein assessing the user intention further comprises reproducing the hand gesture on an application interface displayed on an eyepiece of the headset.

4. The computer-implemented method of claim 1 , further comprising receiving a signal from a second wearable device on a user wrist, the signal indicative of one of a scrolling, pinching, panning, or flipping gesture from the user, and wherein activating the aspect of the display in the user interface based on the user intention comprises scrolling, pinching, or flipping a graphic element of an application displayed on the at least one eyepiece in the headset.

5. The computer-implemented method of claim 1 , wherein identifying the object of the user intention comprises identifying a content of a text being read by the user with the headset.

6. The computer-implemented method of claim 1 , further comprising activating the virtual assistant when the eye gesture includes a gaze direction towards the virtual assistant.

7. The computer-implemented method of claim 1 , further comprising activating the virtual assistant on the display of the headset upon receipt of a voice command from the user.

8. The computer-implemented method of claim 1 , wherein the user interface includes a telephone application displayed in the user interface, further comprising displaying a pickup icon and a hang up icon on at least one eyepiece of the headset when the telephone application receives a call.

9. The computer-implemented method of claim 1 , further comprising highlighting one of a pickup icon or a hang up icon for a telephone application on a headset display, based on the eye gesture.

10. The computer-implemented method of claim 1 , further comprising assessing the user intention to pick up a call when the user maintains a gaze on a pickup icon on the display of the headset for a time longer than a pre-selected threshold.

11. A device, comprising:

at least one of a left eyepiece or a right eyepiece mounted on a frame;

an eye-tracking device configured to identify an eye gesture of a user;

a camera configured to collect an image of a field of view of the user; and

a processor configured to receive a signal from the eye-tracking device, the signal indicative of a user intention for a selection in a user interface, and to activate an aspect of a display in the user interface based on the user intention, the processors further configured to:

identify, in the image of the field of view of the user, an object of the user intention; and

cause to display, on at least one eyepiece, a virtual assistant to indicate to the user an attribute of the object of the user intention that is relevant to the user.

12. The device of claim 11 , further comprising at least one display in the left eyepiece or the right eyepiece, the display configured to display the virtual assistant for the user, responsive to the user intention with the user interface.

13. The device of claim 11 , further comprising the display in at least one of the left eyepiece or the right eyepiece, the display configured to provide an application interface for the user.

14. The device of claim 11 , wherein the eye-tracking device comprises the camera configured to collect the image including at least one user's eye, wherein the processor is further configured to determine a gaze direction of the user and the user intention, based on the gaze direction.

15. The device of claim 11 , wherein the eye-tracking device comprises an ultrasound emitter configured to map a portion of a face of the user that includes at least one user's eye.

16. The device of claim 11 , wherein the eye-tracking device comprises an infrared light emitter configured to map a portion of a face of the user that includes at least one user's eye.

17. The device of claim 11 , further comprising a memory storing instructions which, when executed by the processor, cause the device to perform an application algorithm that drives the user interface.

18. The device of claim 11 , wherein the processor is further configured to receive a second signal from a wristband device when the user interface is active, the second signal indicative of the user intention with the user interface.

19. The device of claim 11 , wherein the processor is further configured to receive a second signal from a wristband device, the second signal indicative of a hand gesture of the user to interact with the user interface.

20. The device of claim 11 , wherein the processor is further configured to receive a second signal from a wearable device, the second signal indicative of the user intention with the user interface when the user interface is active.