Magic Leap, Inc.

Nicholas Atkinson Kramer

Samuel A Miller

Nicole Elizabeth Samec

Mark Baerenrodt

Christopher M Harrises

David Charles Lundmark

Nastasja U Robaina

Paul Lacey

Charlotte Dorothea Wilhelmina Vinkers

Robert Blake Taylor

Ashwin Swaminathan

Ali Shahrokni

Anush Mohan

Eran Guendelman

Prateek Singhal

Xuan Zhao

Daniel Olshansky

Rafael Domingos Torres

Jehangir Tajik

Christian Ivan Robert Moore

Joel David Holder

Lomesh Agarwal

Siddharth Choudhary

Jeremy Dwayne Miranda

Hiral Honar Barot

Kenneth William Tossell

Examples of wearable systems and methods can use multiple inputs (e.g., gesture, head pose, eye gaze, voice, totem, and/or environmental factors (e.g., location)) to determine a command that should be executed and objects in the three-dimensional (3D) environment that should be operated on. The wearable system can detect when different inputs converge together, such as when a user seeks to select a virtual object using multiple inputs such as eye gaze, head pose, hand gesture, and totem input. Upon detecting an input convergence, the wearable system can perform a transmodal filtering scheme that leverages the converged inputs to assist in properly interpreting what command the user is providing or what object the user is targeting.

Identifying convergence of sensor data from first and second sensors within an augmented reality wearable device

Transmodal input fusion for a wearable system

A cross reality system that provides an immersive user experience by storing persistent spatial information about the physical world that one or multiple user devices can access to determine position within the physical world and that applications can access to specify the position of virtual objects within the physical world. Persistent spatial information enables users to have a shared virtual, as well as physical, experience when interacting with the cross reality system. Further, persistent spatial information may be used in maps of the physical world, enabling one or multiple devices to access and localize into previously stored maps, reducing the need to map a physical space before using the cross reality system in it. Persistent spatial information may be stored as persistent coordinate frames, which may include a transformation relative to a reference orientation and information derived from images in a location corresponding to the persistent coordinate frame.

Cross reality system

Augmented reality systems and methods for user health analysis. Methods for user health analysis may include collecting data for an initial prediction model and continuing to collect additional data based on one or more data criteria. The methods may further include updating the initial prediction model based on the additional data to produce a revised prediction model or causing an intervention to occur based on the additional data. The data may be collected by a display system including one or more sensors configured to collect user-specific data and a display device configured to present virtual content to a user. The display device may be configured to output light with variable wavefront divergence.

Augmented reality systems and methods for user health analysis

Growing community of inventors

Fort Lauderdale, FL, United States of America

Nicholas Atkinson Kramer