Google Inc.

Other

Verily Life Sciences LLC

Michael Patrick Johnson

Thad Eugene Starner

Bo Wu

Mat Balez

David Sparks

Hayes Solos Raffle

Nirmal Jitendra Patel

Edward Allen Keyes

Carroll Philip Gossett

Jianchun Dong

Max Benjamin Braun

Brian Otis

Sebastian Thrun

Joshua N Haddock

Nathan M Pletcher

Bradley J Rhodes

Adrian Wong

Alok Chandel

Joshua L Weaver

Sergey Brin

Christopher Richard Wren

Josh Weaver

Antonio Bernardo Monteiro Costa

Yong Zhao

Chun Yat Frank Li

Steve Lee

An eye-mountable device including a lens including a polymeric material, the lens operable to be removably mounted over a corneal surface of an eye and to be compatible with a motion of an eyelid when the concave surface is so mounted; a sensor coupled to the lens and operable to provide output data indicative of whether an eyelid of an eye on which the lens is mounted is closed; and a display operable to display a light signal in response to the output data from the sensor that the eyelid is closed. A method including determining whether an eyelid of a wearer of an eye-mountable device is closed; and when an eyelid of a wearer is closed, sending a light signal from the eye-mountable device.

Eyes closed interface

Methods, apparatus, and computer-readable media are described herein related to biometric authentication. A first computing device can detect a machine-readable code displayed by a second computing device, where the machine-readable code can identify protected information viewable via the second computing device. In response to detecting the machine-readable code, the first computing device can acquire biometric data via one or more biometric sensors associated with the first computing device. Based at least in part on the biometric data, the first computing device can generate an authentication message that includes authentication information and identifies the protected information. The first computing device can then send the authentication message to an authentication server for verification of the authentication information, where verification of the authentication information can allow access to the protected information via the second computing device.

Password management

A wearable computing device such as a head-mounted display (HMD) may be equipped with a magnetometer for detecting presence and motion of a hand-wearable magnet (HWM). The HMD may analyze magnetic field measurements of the magnetometer to determine when the HWM moves within a threshold distance of the magnetometer, and may thereafter determine one or more patterns of motion of the HWM based the magnetic field measurements. The HMD may operate in a background detection state in order to determine a background magnetic field strength and to monitor for magnetic disturbances from the HWM. Upon occurrence of a trigger event corresponding to magnetic disturbance above a threshold level, the HMD may transition to operating in a gesture detection state in which it analyzes magnetometer measurements for correspondence with known gestures. Upon recognizing a known gesture, the HMD may carry out one or more actions based on the recognized known gesture.

Magnetometer-based gesture sensing with a wearable device

A computing device includes an interface configured to receive image data that is indicative of a field-of-view (FOV) that is associated with a head-mountable display (HMD). The computing device also includes a computing system configured to determine optical flow from the image data and to determine, based on the optical flow, whether or not the HMD is associated with operation of a vehicle. Further, the computing device is configured to control the HMD to display information in a first mode, if the HMD is associated with the operation of the vehicle, and to control the HMD to display information in a second mode, if the HMD is not associated with the operation of the vehicle.

Device control utilizing optical flow

Methods and systems involving resolution of directional ambiguity between a graphical display and a touch-based user-interface are disclosed herein. An example system may be configured to: (a) cause a visual depiction of a first reference marker on a graphical display; (b) receive first input data indicating an initial touch input on a touch-based user-interface, where the initial touch input corresponds to an input-direction path having a first end and a second end, and where the touch input corresponds to movement of the input-direction path; (c) associate movement of the first reference marker with subsequent touch inputs; (d) receive second input data indicating a subsequent touch input; and (e) cause a visual depiction of movement of a second reference marker.

Resolution of directional ambiguity on touch-based interface gesture

Implementations generally relate to creating groups in a social network system. In one implementation, a method includes identifying at least one person that is proximate to a target user in a social network system, determining that the target user is generating a pattern; recognizing the at least one person proximate to the target user who is generating the pattern; creating a group in the social network system, and the group includes the at least one person generating the pattern; and associating the group with the target user.

Creating social network groups

Example methods and systems use multiple sensors to determine whether a speaker is speaking. Audio data in an audio-channel speech band detected by a microphone can be received. Vibration data in a vibration-channel speech band representative of vibrations detected by a sensor other than the microphone can be received. The microphone and the sensor can be associated with a head-mountable device (HMD). It is determined whether the audio data is causally related to the vibration data. If the audio data and the vibration data are causally related, an indication can be generated that the audio data contains HMD-wearer speech. Causally related audio and vibration data can be used to increase accuracy of text transcription of the HMD-wearer speech. If the audio data and the vibration data are not causally related, an indication can be generated that the audio data does not contain HMD-wearer speech.

Augmenting speech segmentation and recognition using head-mounted vibration and/or motion sensors

Examples of methods and systems for providing calibration for eye gesture recognition are described. In some examples, calibration can be executed via a head-mountable device. A method for calibration of a system may account for changes in orientation of the head-mountable device, update recognition of the eye gestures, or increase efficiency of the system, for example. The head-mountable device may be configured to receive signals indicative of eye gestures from an eye gesture-detection system and in response to receiving a second command confirming that the signal is indicative of an eye gesture command, to make adjustments to the eye gesture recognition system and/or the reference signals. The head-mountable device may calibrate an eye gesture recognition system via implicit or explicit calibration, for example.

Methods and systems for calibrating a device

Methods, apparatus, and computer-readable media are described herein related to using self-generated sounds for determining a worn state of a wearable computing device. A wearable computing device can transmit an audio signal. One or more sensors coupled to the wearable computing device may then receive a modified version of the audio signal. A comparison may be made between the modified version of the audio signal and at least one reference signal, where the at least one reference signal is based on the audio signal that is transmitted. Based on an output of the comparison, a determination can be made of whether the wearable computing device is being worn.

Using sounds for determining a worn state of a wearable computing device

The present description discloses systems and methods for changing the state of a device. One embodiment may include a device configured to provide a device in a first state, receive a signal indicative of first angular data of the device, and compare the first angular data to a first threshold. The device may then execute instructions to initiate a timer when the first angular data is greater than the first threshold, receive a signal indicative of a second angular data of the device, and compare the second angular data to a second threshold. When the second angular data is less than the second threshold and the time passed is within a pre-determined time period, the device may execute instructions to transition the device to a second state.

Methods and systems for correlating movement of a device with state changes of the device

Methods and systems are described that involve a wearable computing device or an associated device determining the orientation of a person's head relative to their body. To do so, example methods and systems may compare sensor data from the wearable computing device to corresponding sensor data from a tracking device that is expected to move in a manner that follows the wearer's body, such a mobile phone that is located in the wearable computing device's wearer's pocket.

Use of comparative sensor data to determine orientation of head relative to body

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.

Managing information display

Examples methods and systems for distinguishing winks from other eye motions are described. In some examples, a method for distinguishing winks from other eye motions may account for changes in orientation of a computing device relative to a user, calibrate eye gesture recognition, or increase efficiency of the computing device. A computing device may be configured to receive sensor data corresponding to an eye and determine a distribution of magnitude changes in the sensor data over an interval of time. The computing device may identify clusters that correspond to ranges of magnitude changes within the distribution and use the clusters as reference data to identify ranges of sensor data for different types of eye motions, including differentiating winks from clusters indicative of ranges of normal eye activity and blinks.

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Sunnyvale, CA, United States of America

Michael Patrick Johnson