Abstract: An example method includes receiving, by a head-mountable device (HMD), data corresponding to an information event, and providing an indication corresponding to the information event in response to receiving the data. The method further includes determining a gaze direction of an eye and determining that the gaze direction of the eye is an upward direction that corresponds to a location of a display of the HMD. The display is located in an upper periphery of a forward-looking field of view of the eye when the HMD is worn. The method further includes, in response to determining that the gaze direction of the eye is the upward direction, displaying graphical content related to the information event in the display.

Abstract: Embodiments described herein may help to provide a wake-up mechanism for a computing device. An example method involves, the computing device: (a) receiving head-movement data that is indicative of head movement; (b) detecting at least a portion of the head-movement data that is indicative of a head gesture; (c) receiving eye-position data that is indicative of eye position; (d) detecting at least a portion of the eye-position data that is indicative of an eye being directed towards a display of a head-mounted device (HMD); and (e) causing the HMD to switch from a first operating mode to a second operating mode in response to the detection of both: (i) the eye-movement data that is indicative of an eye directed towards the display, and (ii) the head-movement data indicative of the head gesture.

Abstract: This disclosure relates to winking to capture image data using an image capture device that is associated with a head-mountable device (HMD). An illustrative method includes detecting a wink gesture at an HMD. The method also includes causing an image capture device to capture image data, in response to detecting the wink gesture at the HMD.

Abstract: Embodiments described herein may provide a configuration of input interfaces used to perform multi-touch operations. An example device may involve: (a) a housing arranged on a head-mountable device, (b) a first input interface arranged on either a superior or an inferior surface of the housing, (c) a second input interface arranged on a surface of the housing that is opposite to the first input interface, and (d) a control system configured to: (1) receive first input data from the first input interface, where the first input data corresponds to a first input action, and in response, cause a camera to perform a first operation in accordance with the first input action, and (2) receive second input data from the second input interface, where the second input data corresponds to a second input action(s) on the second input interface, and in response, cause the camera to perform a second operation.

Abstract: A wearable audio component includes a first cable and an audio source in electrical communication with the first cable. A housing defines an interior and an exterior, the audio source being contained within the interior thereof. The exterior includes an ear engaging surface, an outer surface, and a peripheral surface extending between the front and outer surfaces. The peripheral surface includes a channel open along a length to surrounding portions of the peripheral surface and having a depth to extend partially between the front and outer surfaces. A portion of the channel is covered by a bridge member that defines an aperture between and open to adjacent portions of the channel. The cable is connected with the housing at a first location disposed within the channel remote from the bridge member and is captured in so as to extend through the aperture in a slidable engagement therewith.

Abstract: Systems and methods for navigation and selection with eye gestures in a graphical display are provided, in which a graphical display of content may be provided to a wearer of a head-mountable device. A first signal may be received from a first sensor configured to detect an eye gesture of a first eye of the wearer. A second signal may then be received from a second sensor configured to detect an eye gesture of a second eye of the wearer. The first signal may be associated to a first command to navigate through or select an item in the graphical display of content provided by the head-mountable device, and the second signal may be associated to a subsequent command, based at least in part on a given output of the first command, to navigate through or select another item in the graphical display of content.

Abstract: Embodiments described herein may allow for the use of active capacitive sensing on a head-mountable device. An example method may involve: sending a first signal that has a first frequency from a signal transmitter positioned on a wearable computing device so that when the wearable computing device is worn, the signal transmitter couples to a part of a wearer of the wearable computing device, receiving a second signal at a capacitive sensor located on the wearable computing device, determining whether the second signal has the first frequency, if the second signal has the first frequency, outputting a third signal that is indicative of manual input on the capacitive sensor, and if the second signal does not have the first frequency, refraining from outputting the third signal.

Abstract: Methods, apparatus, and computer-readable media are described herein related to displaying and cropping viewable objects. A viewable object can be displayed on a display of a head-mountable device (HMD) configured with a hand-movement input device. The HMD can receive both head-movement data corresponding to head movements and hand-movement data from the hand-movement input device. The viewable object can be panned on the display based on the head-movement data. The viewable object can be zoomed on the display based on the hand-movement data. The HMD can receive an indication that navigation of the viewable object is complete. The HMD can determine whether a cropping mode is activated. After determining that the cropping mode is activated, the HMD can generate a cropped image of the viewable object on the display when navigation is complete and perform an operation on the cropped image.

Abstract: This disclosure involves proximity sensing of eye gestures using a machine-learned model. An illustrative method comprises receiving training data that includes proximity-sensor data. The data is generated by at least one proximity sensor of a head-mountable device (HMD). The data is indicative of light received by the proximity sensor(s). The light is received by the proximity sensor(s) after a reflection of the light from an eye area. The reflection occurs while an eye gesture is being performed at the eye area. The light is generated by at least one light source of the HMD. The method further comprises applying a machine-learning process to the training data to generate at least one classifier for the eye gesture. The method further comprises generating an eye-gesture model that includes the at least one classifier for the eye gesture. The model is applicable to subsequent proximity-sensor data for detection of the eye gesture.

Abstract: Methods and systems are described for determining eye position and/or for determining eye movement based on glints. An exemplary computer-implemented method involves: (a) causing a camera that is attached to a head-mounted display (HMD) to record a video of the eye; (b) while the video of the eye is being recorded, causing a plurality of light sources that are attached to the HMD and generally directed towards the eye to switch on and off according to a predetermined pattern, wherein the predetermined pattern is such that at least two of the light sources are switched on at any given time while the video of the eye is being recorded; (c) analyzing the video of the eye to detect controlled glints that correspond to the plurality of light sources; and (d) determining a measure of eye position based on the controlled glints.

Abstract: Disclosed is a technique that can help to detect a blink of an eye and a direction along which the eye is oriented before, after, or during the blink. To this end, light data can be received from at least one light sensor. The light data indicates at least one characteristic of light reflected from an eye area. A blink event can be detected based on the light data. A gaze direction can be determined based on the blink event. At least one computing action can be performed based on the gaze direction.

Abstract: Embodiments of the disclosure describe an on-head detection technique for an HMD that includes an optical sensor positioned to detect light reflected from at least one of a face of a user or a lens worn by the user. A flexible frame assembly supports an image source and further supports the optical sensor relative to the face or the lens when worn by the user. The flexible frame assembly flexes such that the optical sensor moves closer to at least one of the face or the lens when the HMD is worn by the user. Embodiments determine whether the user is wearing the HMD based on optical sensor data output from the optical sensor.

Abstract: This disclosure relates to winking to capture image data using an image capture device that is associated with a head-mountable device (HMD). An illustrative method includes detecting a wink gesture at an HMD. The method also includes causing an image capture device to capture image data, in response to detecting the wink gesture at the HMD.

Abstract: This disclosure relates to proximity sensing for wink detection. An illustrative method includes receiving data from a receiver portion of a proximity sensor. The receiver portion is disposed at a side section of a head-mountable device (HMD). When a wearer wears the HMD, the receiver portion is arranged to receive light reflected from an eye area of the wearer, the proximity sensor detects a movement of the eye area, and the data represents the movement. The method includes determining that the data corresponds to a wink gesture. The method also includes selecting a computing action to perform, based on the wink gesture. The method further includes performing the computing action.

Abstract: Methods and devices for initiating a search of an object are disclosed. In one embodiment, a method is disclosed that includes receiving video data recorded by a camera on a wearable computing device, where the video data comprises at least a first frame and a second frame. The method further includes, based on the video data, detecting an area in the first frame that is at least partially bounded by a pointing device and, based on the video data, detecting in the second frame that the area is at least partially occluded by the pointing device. The method still further includes initiating a search on the area.

Abstract: Example methods and systems determine viewing states, blinks, and blink intervals of an eye of a wearer of a head-mountable device. The head-mountable display can emit IR radiation from an associated IR radiation source toward a target location. An IR sensor associated with the head-mountable display can receive reflected IR radiation, such as the IR radiation emitted by the IR radiation source and reflected from the target location. The IR sensor can generate amplitude data for the reflected IR radiation. The head-mountable display can be used to determine a viewing state of the target location. The viewing state can be based on the amplitude data. The viewing state can determined from among a no-wearer-present viewing state, a wearer-present viewing state, a closed-eye viewing state, an open-eye viewing state, a non-display-viewing viewing state, and a display-viewing viewing state.

Abstract: Methods and systems disclosed herein relate to an action that could proceed or be dismissed in response to an affirmative or negative input, respectively. An example method could include displaying, using a head-mountable device, a graphical interface that presents a graphical representation of an action. The action could relate to at least one of a contact, a contact's avatar, a media file, a digital file, a notification, and an incoming communication. The example method could further include receiving a binary selection from among an affirmative input and a negative input. The example method may additionally include proceeding with the action in response to the binary selection being the affirmative input and dismissing the action in response to the binary selection being the negative input.

Abstract: A wearable computing device or a head-mounted display (HMD) may be configured to track the gaze axis of an eye of the wearer. In particular, the device may be configured to observe movement of a wearer's pupil and, based on the movement, determine inputs to a user interface. For example, using eye gaze detection, the HMD may change a tracking rate of a displayed virtual image based on where the user is looking. Gazing at the center of the HMD field of view may, for instance, allow for fine movements of the virtual display. Gazing near an edge of the HMD field of view may provide coarser movements.

Abstract: Example methods and devices are disclosed for generating life-logs with point-of-view images. An example method may involve: receiving image-related data based on electromagnetic radiation reflected from a human eye, generating an eye reflection image based on the image-related data, generating a point-of-view image by filtering the eye reflection image, and storing the point-of-view image. The electromagnetic radiation reflected from a human eye can be captured using one or more video or still cameras associated with a suitably-configured computing device, such as a wearable computing device.

Abstract: Methods and devices for initiating a search of an object are disclosed. In one embodiment, a method is disclosed that includes receiving video data recorded by a camera on a wearable computing device, where the video data comprises at least a first frame and a second frame. The method further includes, based on the video data, detecting an area in the first frame that is at least partially bounded by a pointing device and, based on the video data, detecting in the second frame that the area is at least partially occluded by the pointing device. The method still further includes initiating a search on the area.