Apple Inc.

Walter Nistico

Emanuele Mandelli

Avery L Wang

Huiyang Deng

Sai Harsha Jandhyala

Xibin Zhou

Edward Vail

Seyedeh Mahsa Kamali

Patrick R Gill

Samuel Steven

Various implementations disclosed herein include devices, systems, and methods that authenticate a user's identity by generating a representation of the eye (e.g., a signature) using coherence-based measurement (e.g., optical coherence tomography (OCT)). The coherence-based measurement may provide sub-surface information, e.g., depth, cross section, or a volumetric model of the eye, based on reflections/scattering of light, e.g., using relatively long wavelength light to penetrate into the eye tissue.

Eye biometric authentication using coherence-based measurement

Various implementations disclosed herein include devices, systems, and methods that obtain information from a first electronic device (e.g., to improve interactions for a CGR environment). In some implementations at a second electronic device having a processor, event camera data is obtained corresponding to modulated light (e.g., light including an information signal in its modulation) emitted by an optical source on the first electronic device and received at an event camera. The second electronic device is able to identify information from the first electronic device based on detecting a modulation pattern of the modulated light based on the event camera data. In some implementations, second electronic device is the same electronic device that has the event camera (e.g., laptop) or a different electronic device that receives the event data (e.g., a server receiving the event data from a laptop computer).

Method and system for encoded optical communication using a modulated light source

Various implementations disclosed herein include devices, systems, and methods that perform gaze tracking using combinations of ultrasound and imaging data. Some implementations detect a first attribute of an eye using imaging measurements in a first image of the eye, and a first location associated with the first attribute is determined in a 3D coordinate system based on depth information. A second attribute of the eye is detected based on depth information from ultrasound based measurements of the eye, and a second location associated with the second attribute is determined in the 3D coordinate system based on the depth information and a 3D model of a portion of the eye. A gaze direction in the 3D coordinate system is determined based on the first location and the second location. In some implementations, user characteristics are identified (e.g., authentication) using ultrasonic biometric characteristics with imaging biometrics.

Hybrid gaze tracking system

In one implementation, a method includes receiving pixel events output by an event sensor that correspond to a feature disposed within a field of view of the event sensor. Each respective pixel event is generated in response to a specific pixel within a pixel array of the event sensor detecting a change in light intensity that exceeds a comparator threshold. A characteristic of the feature is determined at a first time based on the pixel events and a previous characteristic of the feature at a second time that precedes the first time. Movement of the feature relative to the event sensor is tracked over time based on the characteristic and the previous characteristic.

Processing of signals using a recurrent state estimator

In one implementation, an event sensor includes a plurality of pixels and an event compiler. The plurality of pixels are positioned to receive light from a scene disposed within a field of view of the event sensor. Each pixel is configured to have an operational state that is modified by control signals generated by a respective state circuit. The event compiler is configured to output a stream of pixel events. Each respective pixel event corresponds to a breach of a comparator threshold related to an intensity of incident illumination. Each control signal is generated based on feedback information that is received from an image pipeline configured to consume image data derived from the stream of pixel events.

Hardware implementation of sensor architecture with multiple power states

In one implementation, a system includes an event sensor with a pixel array and an image pipeline. The pixel array is configured to operate a first subset of pixels in an active state and a second subset of pixels in an inactive state. The event sensor is configured to output pixel events. Each respective pixel event is generated in response to a specific pixel within the first subset of pixels detecting a change in light intensity that exceeds a comparator threshold. The image pipeline is configured to consume image data derived from the pixel events and communicate feedback information to the event sensor based on the image data. The feedback information causes a pixel within the first subset of pixels to transition from the active state to another state.

Growing community of inventors

Redwood City, CA, United States of America

Walter Nistico