Snap Inc.

Fannie Liu

Andrés Monroy-Hernández

Rajan Vaish

Yu Jiang Tham

Youjean Cho

Tsung-Yu Tsai

Chen Ji

Sven Kratz

Lei Zhang

Tianying Chen

Timothy Chong

Olivia Seow

Chunjong Park

Brian Anthony Smith

A method and a system include receiving a first signal value generated by a biosignal sensor coupled to the first client device, receiving one or more second signal values corresponding to a respective sensor reading or environmental condition associated with the first client device, determining a total score based on a first score and one or more second scores determined based on the first and the one or more second signal values, selecting a first state of the plurality of states based on a ranking of total scores of the plurality of states, and causing a display of a first notification associated with a first user-selectable element corresponding to the first state on the first client device.

Non-textual communication and user states management

Collaborative sessions in which access to added virtual content is selectively made available to participants/users by a collaborative system. The system receives a request from a user to join a session, and associates a timestamp with the user corresponding to receipt of the request. Users can edit the collaborative object if the timestamp is within the collaborative duration period and can view the collaborative object if the timestamp is after the collaborative duration period.

Selective collaborative object access based on timestamp

A collaborative session (e.g., a virtual time capsule) in which access to a collaborative object and added virtual content is selectively provided to participants/users. In one example of the collaborative session, authentication of the collaborative object is performed by all of the users to complete the collaborative session. Each user authenticates the collaborative object, such as using a stamping gesture on a user interface of a client device or in an augmented reality session. User specific data is recorded with the stamping gesture to authenticate the collaborative object and the associated virtual content. In an example, user specific data may include device information, participant profile information, or biometric signal information. Biometric signal information, such as a fingerprint from a mobile device or a heart rate received from a connected smart device can be used to provide an authenticating signature to the seal.

Authenticating a selective collaborative object

Augmented reality (AR) systems, devices, media, and methods are described for capturing and presenting effort put into generating a handcrafted AR experience. AR object generation data is captured during the generation of a handcrafted AR object. The AR object generation data is then processed to generate proof of effort data for inclusion with the handcrafted AR object. Examples of proof of effort include a time lapse view of the steps taken during generation of the AR object and statistics such as total time spent, number of images or songs considered for selection, number of actions implemented, etc.

Handcrafted augmented reality effort evidence

Collaborative sessions in which access to added virtual content is selectively made available to participants/users. A participant (the host) creates a new session and invites participants to join. The invited participants receive an invitation to join the session. The session creator (i.e., the host) and other approved participants can access the contents of a session. The session identifies a new participant when they join the session, and concurrently notifies the other participants in the session that a new participant is waiting for permission to access the added virtual content. The host or approved participants can set up the new participant with permissions for accessing added virtual content.

Selective collaborative object access

Augmented reality (AR) systems, devices, media, and methods are described for generating AR experiences including interactions with virtual or physical prop objects. The AR experiences are generated by capturing images of a scene with a camera system, identifying an object receiving surface and corresponding surface coordinates within the scene, identifying an AR primary object and a prop object (physical or virtual), establishing a logical connection between the AR primary object and the prop object, generating AR overlays including actions associated with the AR primary object responsive to commands received via a user input system that position the AR primary object adjacent the object receiving surface responsive to the primary object coordinates and the surface coordinates within the scene and that position the AR primary object and the prop object with respect to one another in accordance with the logical connection, and presenting the generated AR overlays with a display system.

Augmented reality prop interactions

Augmented reality (AR) systems, devices, media, and methods are described for creating a handcrafted AR experience. The handcrafted AR experiences are created by capturing images of a scene, identifying an object receiving surface and corresponding surface coordinates, identifying a customizable AR primary object associated with at least one set of primary object coordinates, generating AR overlays including the customizable AR primary object for positioning adjacent the object receiving surface, presenting the AR overlays, receiving customization commands, generating handcrafted AR overlays including customizations associated with the customizable AR primary object responsive to the customization commands, presenting the handcrafted AR overlays, recording the handcrafted AR overlays, creating a handcrafted AR file including the recorded overlays, and transmitting the handcrafted AR file.

Handcrafted augmented reality experiences

Systems and methods enable users to engage in meaningful, authentic, online interactions by extracting objects (virtual or real) from an image or video and transferring the extracted objects into a real-world environment of another user in three-dimensional augmented reality. An object to be sent from the first user to the second user is generated using a drawing application, extracted from an image or a video, or an AR object is captured. A video is recorded showing the object responding to an action of the first user and metadata is generated relating to the response of the object to the action of the first user. The video and metadata are sent to the second user. Upon receipt, the video is watched by the second user and the object is selected for presentation in a display environment of the second user. The state of the object is preserved by the metadata.

Transferring objects from 2D video to 3D AR

A collaborative session (e.g., a virtual time capsule) in which access to a collaborative object with an associated material and added virtual content is provided to users. In one example of the collaborative session, a user selects the associated material of the collaborative object. Physical characteristics are assigned to the collaborative object as a function of the associated material to be perceived by the participants when the collaborative object is manipulated. In one example, the material associated to the collaborative object is metal, wherein the interaction between the users and the collaborative object generates a response of the collaborative object that is indicative of the physical properties of metal, such as inertial, acoustic, and malleability.

Real-world responsiveness of a collaborative object

Augmented reality (AR) systems, devices, media, and methods are described for sending and receiving AR objects (e.g., customized AR objects) based on/responsive to interactions with the physical world. AR virtual delivery route overlays are generated responsive to selected virtual delivery routes and include the AR object and a delivery mode (air, tunnel, etc.) corresponding to the virtual delivery route. Physical world actions associated with the delivery mode (blowing adjacent an AR device or scratching a surface) result in sending a communication corresponding to the AR object for delivery to a receiver and generating AR sending overlays including the AR object moving in accordance with the delivery mode.

Physical action-based augmented reality communication exchanges

Collaborative sessions in which access to a collaborative object and added virtual content is selectively provided to participants/users. In one example of the collaborative session, a participant crops media content by use of a hand gesture to produce an image segment that can be associated to the collaborative object. The hand gesture resembles a pair of scissors and the camera and processor of the client device track a path of the hand gesture to identify an object within a displayed image to create virtual content of the identified object. The virtual content created by the hand gesture is then associated to the collaborative object.

Scissor hand gesture for a collaborative object

A collaborative session (e.g., a virtual time capsule) in which access to a collaborative object and added virtual content is selectively provided to participants/users. In one example of the collaborative session, a participant (the host) creates a new session and invites participants to join. The session creator (i.e., the host) and other approved participants can access the contents of a session (e.g., which may be recorded using an application such as lens cloud feature; available from Snap Inc. of Santa Monica, California). A timestamp is associated with each received virtual content, and the users are provided with a timelapse of the collaborative object as a function of the timestamps.

Timelapse of generating a collaborative object

A system and method for recommending emojis to send by a messaging application includes receiving user biosignals from at least one sensor, receiving context information from at least one context source, and selecting, using a rule-based heuristic state selector, a list of plausible user states from possible heuristic states in a heuristic state table based on the received user biosignals and received context information. A state predictor determines, from at least the list of plausible user states and a user model of emojis previously sent in different user states, a list of user states and probabilities that the user will send an emoji for each user state given the context information. The recommended emojis are displayed for selection for sending by the messaging application in order from the highest to the lowest probabilities that the user will send the recommended emojis based on a selected plausible user state.

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New York, NY, United States of America

Fannie Liu