Snap Inc.

Ashwani Arya

Tejas Arun Bahulkar

Alex Feinman

Daniel Harris

Daniel C Wiggins

Dunxu Hu

Jennica Pounds

Jonah Hephzibah Okike

Georgios Evangelidis

Edward Lee Kim-Koon

Andrei Rybin

Tejas Bahulkar

Eyewear providing a visual indicator to a hearing-impaired user indicating a direction of arrival of a sound relative to the eyewear to help the user obtain greater awareness of the surrounding environment. An eyewear optical assembly includes an image display displaying the visual indicator discernable by the user and corresponding to the direction of arrival of the sound, even when a sound source is not viewable through the optical assembly. The image display also displays an image indicative of the sound source. A front portion of an eyewear frame includes a light array, where one or more lights of the light array is illuminated to indicate the direction of arrival and intensity of the sound source. An array of vibrating devices may also be used to indicate the direction of arrival and intensity of the sound source.

Eyewear with direction of sound arrival detection

An electronic eyewear device includes a display and a speaker system adapted to present augment reality objects and associated sounds in a scene being viewed by the user. A processor receives one or more audio tracks respectively associated with one or more augmented reality objects, encodes the audio tracks into an aggregated audio track including the audio tracks, a header for each audio track that uniquely identifies each respective audio track, and an aggregate header that identifies the number of tracks in the aggregated audio track. The processor transfers the aggregated audio track to an audio processor that uses the header for each audio track and the aggregate header to separate the audio tracks from the aggregated audio track. The audio processor processes the audio tracks independently in parallel and provides the audio tracks to the speaker system for presentation with the augmented reality objects.

Low latency, low power multi-channel audio processing

Electronic eyewear device providing simplified audio source separation, also referred to as voice/sound unmixing, using alignment between respective device trajectories. Multiple users of electronic eyewear devices in an environment may simultaneously generate audio signals (e.g., voices/sounds) that are difficult to distinguish from one another. The electronic eyewear device tracks the location of moving remote electronic eyewear devices of other users, or an object of the other users, such as the remote user's face, to provide audio source separation using location of the sound sources. The simplified voice unmixing uses a microphone array of the electronic eyewear device and the known location of the remote user's electronic eyewear device with respect to the user's electronic eyewear device to facilitate audio source separation.

Eyewear with audio source separation using pose trackers

A method for managing power resource in an augmented reality (AR) device is described. In one aspect, the method includes configuring a low-power mode to run on a low-power processor of the AR device using a first set of sensor data, and a high-power mode to run on a high-power processor of the AR device using a second set of sensor data, operating, using the low-power processor, a low-power application in the low-power mode based on the first set of sensor data, detecting a request to operate a high-power application at the AR device, in response to detecting the request, activating the second set of sensors of the AR device corresponding to the high-power mode, and operating, using the high-power processor, a high-power application in the high-power mode based on the second set of sensors.

Low-power architecture for augmented reality device

A method for a low-power hand-tracking system is described. In one aspect, a method includes polling a proximity sensor of a wearable device to detect a proximity event, the wearable device includes a low-power processor and a high-power processor, in response to detecting the proximity event, operating a low-power hand-tracking application on the low-power processor based on proximity data from the proximity sensor, and ending an operation of the low-power hand-tracking application in response to at least one of: detecting and recognizing a gesture based on the proximity data, detecting without recognizing the gesture based on the proximity data, or detecting a lack of activity from the proximity sensor within a timeout period based on the proximity data.

Low-power hand-tracking system for wearable device

Devices, media, and methods are presented for an audio enhanced augmented reality (AR) experience using an eyewear device. The eyewear device has a microphone system, a presentation system, a support structure configured to be head-mounted on a user, and a processor. The support structure supports the microphone system and the presentation system. The eyewear device is configured to capture, with the microphone system, audio information of an environment surrounding the eyewear device, identify an audio signal within the audio information, detect a direction of the audio signal with respect to the eyewear device, classify the audio signal, and present, by the presentation system, an application associated with the classification of the audio signal.

Audio enhanced augmented reality

Methods and systems are disclosed for performing operations for estimating power usage of an AR experience. The operations include: accessing resource utilization data associated with execution of an augmented reality (AR) experience; applying a machine learning technique to the resource utilization data to estimate power consumption of the AR experience, the machine learning technique being trained to establish a relationship between a plurality of training resource utilization data associated with training AR experiences and corresponding ground-truth power consumption of the training AR experiences; and adjusting one or more operations of the AR experience to reduce power consumption based on the estimated power consumption of the AR experience.

Augmented reality experience power usage prediction

Example systems, devices, media, and methods are described for presenting a virtual experience using the display of an eyewear device in augmented reality. A content delivery application implements and controls the detecting of beacons broadcast from beacon transmitters deployed at fixed locations and determining the current eyewear location based on the detected beacons. The method includes retrieving content and presenting a virtual experience based on the retrieved content, the beacon data, and a user profile. The virtual experience includes playing audio messages, presenting text on the display, playing video segments on the display, and combinations thereof. In addition to wireless detection of beacons, the method includes scanning and decoding a beacon activation code positioned near the beacon transmitter to access a beacon.

Beacons for localization and content delivery to wearable devices

Dynamic transcode throttling methods and devices for processing resource management and thermal mitigation in electronic devices such as eyewear devices. An electronic device monitors its temperature and, responsive to the temperature, configures a transcoding service to operate at different rates. A frame delay module is configured to add a delay between read frames prior to the transcoding service. This enables the electronic device to consume less power when temperatures are too high in order to provide thermal mitigation and can be performed without powering down the electronic device.

Device with dynamic transcode throttling

Example systems, devices, media, and methods are described for efficiently processing an audio track of a virtual object with a head-related transfer function (HRTF). Audio tracks are processed by determining a current position (direction and optionally distance) of the virtual object with respect to the head of a user, identifying a current audio zone from predefined audio zones responsive to the determined current position where each of the audio zones has a corresponding left predefined filter and a corresponding right predefined filter, applying the left and the right predefined filters corresponding to the current audio zone to the audio track to produce a left audio signal and a right audio signal, and presenting the left audio signal with a first speaker and the right audio signal with a second speaker.

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Cypress, CA, United States of America

Ashwani Arya