Apple Inc.

Benjamin R Blachnitzky

Aaron Mackay Burns

Nicolai Philip Georg

Arun Rakesh Yoganandan

Adam G Poulos

Benjamin Hylak

David M Schattel

Anette L Freiin Von Kapri

Stephen E Dey

Lejing Wang

Reza Abbasian

Jia Wang

Lilli I Jonsson

Ryan S Carlin

Ezgi Demirayak

Paul Xiaopeng Wang

Jue Wang

Alex Joseph Lehmann

Chang Zhang

Madeleine S Cordier

Mark T Winkler

Alexis Henri Palangie

Luis R Deliz Centeno

Zachary Z Becker

Ahmet Fatih Cihan

Tianjia Sun

Jian H Li

Michelle Chua

Mengshu Huang

Yuhao Pan

Jordan A Cazamias

Adrian Z Harb

Jonathan C Atler

Hongcheng Sun

Charilaos Papadopoulos

Lilli Ing-Marie Jonsson

Kevin Z Lo

Alhad A Palkar

Samantha Koire

Christopher L Nolet

Minhazul Islam

Joon-Sup Han

Sang E Lee

Paul N DuMontelle

Lilli Ing-Marie Johnsson

Hongchen Sun

Paul N Dumontelle

Luis Deliz Centeno

Nicolai Georg

Jian Li

An electronic device such as a head-mounted device may present extended reality content such as a representation of a three-dimensional environment. The representation of the three-dimensional environment may be changed between different viewing modes having different immersion levels in response to user input. The three-dimensional environment may represent a multiuser communication session. A multiuser communication session may be saved and subsequently viewed as a replay. There may be an interactive virtual object within the replay of the multiuser communication session. The pose of the interactive virtual object may be manipulated by a user while the replay is paused. Some multiuser communication sessions may be hierarchical multiuser communication sessions with a presenter and audience members. The presenter and audience members may receive generalized feedback based on the audience members during the presentation. A participant may have their role changed between audience member and presenter during the presentation.

Interactive element in a replay

In one implementation. a method for dynamically selecting an operation modality for a physical object. The method includes: obtaining a user input vector that includes at least one user input indicator value associated with one of a plurality of different input modalities; obtaining tracking data associated with a physical object; generating a first characterization vector for the physical object, including a pose value and a user grip value, based on the user input vector and the tracking data, wherein the pose value characterizes a spatial relationship between the physical object and a user of the computing system and the user grip value characterizes a manner in which the physical object is being held by the user; and selecting, based on the first characterization vector, a first operation modality as a current operation modality for the physical object.

Method and device for dynamically selecting an operation modality for an object

A method is performed at an electronic device with a non-transitory memory, one or more processors, and a display. The method includes obtaining positional information regarding an auxiliary device. The method includes determining an anchor point of the auxiliary device on a volumetric computer-generated object. Determining the anchor point includes setting the anchor point to a first position of the auxiliary device in accordance with a determination that dimensions of the volumetric computer-generated satisfy a first criterion. Determining the anchor point further includes setting the anchor point to a second position of the auxiliary device in accordance with a determination that the dimensions of the volumetric computer-generated object satisfy a second criterion different from the first criterion. The first position is different from the second position. The method includes anchoring, based on the positional information, the volumetric computer-generated object to the anchor point of the auxiliary device.

Anchoring to multiple positions of an auxiliary device

Presentations in multi-user communication sessions

A method includes determining a first gaze position within a content manipulation region based on eye tracking data from an eye tracker. The method includes determining a selection point associated with a physical surface, based on spatial selector data from a spatial selector tracker. The method includes displaying a computer-generated representation of a trackpad on the physical surface, based on the first gaze position and the selection point. In some implementations, a method includes displaying a user interface including a plurality of content manipulation regions, a plurality of affordances respectively associated with the plurality of content manipulation regions, and a computer-generated representation of a trackpad. The method includes detecting, via a spatial selector tracker, an input directed to a first affordance associated with a first content manipulation region. The method includes associating the computer-generated representation of the trackpad with the first content manipulation region, based on the input.

Content manipulation via a computer-generated representation of a trackpad

A method is performed at an electronic device with one or more processors, a non-transitory memory, a display, an extremity tracking system, and a communication interface provided to communicate with a finger-wearable device. The method includes displaying a computer-generated object on the display. The method includes obtaining finger manipulation data from the finger-wearable device via the communication interface. The method includes determining a multi-finger gesture based on extremity tracking data from the extremity tracking system and the finger manipulation data. The method includes registering an engagement event with respect to the computer-generated object according to the multi-finger gesture.

Multi-finger gesture based on finger manipulation data and extremity tracking data

A method includes displaying a plurality of computer-generated objects, and obtaining finger manipulation data from a finger-wearable device via a communication interface. In some implementations, the method includes receiving an untethered input vector that includes a plurality of untethered input indicator values. Each of the plurality of untethered input indicator values is associated with one of a plurality of untethered input modalities. In some implementations, the method includes obtaining proxy object manipulation data from a physical proxy object via the communication interface. The proxy object manipulation data corresponds to sensor data associated with one or more sensors integrated in the physical proxy object. The method includes registering an engagement event with respect to a first one of the plurality of computer-generated objects based on a combination of the finger manipulation data, the untethered input vector, and the proxy object manipulation data.

Object engagement based on finger manipulation data and untethered inputs

Detecting a touch includes receiving image data of a touching object of a user selecting selectable objects of a target surface, determining a rate of movement of the touching object, in response to determining that the rate of movement satisfies a predetermined threshold, modifying a touch detection parameter for detecting a touch event between the touching object and the target surface, and detecting one or more additional touch events using the modified touch detection parameter.

Speed adapted touch detection

A method is performed at an electronic device with one or more processors, a non-transitory memory, a display, and an extremity tracker. The method includes obtaining extremity tracking data via the extremity tracker. The method includes displaying a computer-generated representation of a trackpad that is spatially associated with a physical surface. The physical surface is viewable within the display along with a content manipulation region that is separate from the computer-generated representation of the trackpad. The method includes identifying a first location within the computer-generated representation of the trackpad based on the extremity tracking data. The method includes mapping the first location to a corresponding location within the content manipulation region. The method includes displaying an indicator indicative of the mapping. The indicator may overlap the corresponding location within the content manipulation region.

Mapping a computer-generated trackpad to a content manipulation region

A method includes displaying a plurality of computer-generated objects, including a first computer-generated object at a first position within an environment and a second computer-generated object at a second position within the environment. The first computer-generated object corresponds to a first user interface element that includes a first set of controls for modifying a content item. The method includes, while displaying the plurality of computer-generated objects, obtaining extremity tracking data. The method includes moving the first computer-generated object from the first position to a third position within the environment based on the extremity tracking data. The method includes, in accordance with a determination that the third position satisfies a proximity threshold with respect to the second position, merging the first computer-generated object with the second computer-generated object in order to generate a third computer-generated object for modifying the content item. The method includes displaying the third computer-generated object.

Merging computer-generated objects

A method includes, while displaying a computer-generated object at a first position within an environment, obtaining extremity tracking data from an extremity tracker. The first position is outside of a drop region that is viewable using the display. The method includes moving the computer-generated object from the first position to a second position within the environment based on the extremity tracking data. The method includes, in response to determining that the second position satisfies a proximity threshold with respect to the drop region, detecting an input that is associated with a spatial region of the environment. The method includes moving the computer-generated object from the second position to a third position that is within the drop region, based on determining that the spatial region satisfies a focus criterion associated with the drop region.

Targeted drop of a computer-generated object

In one implementation, a method for visually indicating positional/rotational information of a finger-wearable device. The method includes: determining a set of translational values and a set of rotational values for the finger-wearable device, wherein the finger-wearable device is worn on a finger of a user; displaying, via a display, a visual representation of a location of the finger-wearable device based on the set of translational values; generating a visual representation of a grasp region of the user based on the set of translational values and the set of rotational values; and concurrently displaying, via the display, the visual representation of the grasp region with the visual representation of the location of the finger-wearable device.

Method and device for positional/rotational information of a finger-wearable device

A system may include finger devices. A touch sensor may be mounted in a finger device housing to gather input from an external object as the object moves along an exterior surface of the housing. The touch sensor may include capacitive sensor electrodes. Sensors such as force sensors, ultrasonic sensors, inertial measurement units, optical sensors, and other components may be used in gathering finger input from a user. Finger input from a user may be used to manipulate virtual objects in a mixed reality or virtual reality environment while a haptic output device in a finger device provides associated haptic output. A user may interact with real-world objects while computer-generated content is overlaid over some or all of the objects. Object rotations and other movements may be converted into input for a mixed reality or virtual reality system using force measurements or other sensors measurements made with the finger devices.

Computer systems with finger devices

Growing community of inventors

San Francisco, CA, United States of America

Benjamin R Blachnitzky