Augmented reality platform for collaborative classrooms

    公开(公告)号:US12266273B2

    公开(公告)日:2025-04-01

    申请号:US18049065

    申请日:2022-10-24

    Abstract: An augmented reality system for developing and providing augmented reality learning experiences is disclosed. The augmented reality system advantageously combines augmented reality with the capabilities of cloud technology to provide a pull-based collaborative model, in which students and instructors collaborate by uploading, sharing, and downloading augmented reality learning content. The augmented reality system enables students to improve the augmented reality learning content by adding contributions to the original augmented reality learning content that was created by an instructor.

    SYSTEM AND METHOD FOR EMBODIED AUTHORING OF HUMAN-ROBOT COLLABORATIVE TASKS WITH AUGMENTED REALITY

    公开(公告)号:US20250058461A1

    公开(公告)日:2025-02-20

    申请号:US18937756

    申请日:2024-11-05

    Abstract: A system and method for authoring and performing Human-Robot-Collaborative (HRC) tasks is disclosed. The system and method adopt an embodied authoring approach in Augmented Reality (AR), for spatially editing the actions and programming the robots through demonstrative role-playing. The system and method utilize an intuitive workflow that externalizes user's authoring as demonstrative and editable AR ghost, allowing for spatially situated visual referencing, realistic animated simulation, and collaborative action guidance. The system and method utilize a dynamic time warping (DTW) based collaboration model which takes the real-time captured motion as inputs, maps it to the previously authored human actions, and outputs the corresponding robot actions to achieve adaptive collaboration.

    System and method for spatially mapping smart objects within augmented reality scenes

    公开(公告)号:US12175748B2

    公开(公告)日:2024-12-24

    申请号:US17933714

    申请日:2022-09-20

    Abstract: A method and system for localizing a plurality of stationary devices, such as Internet of Things (IoT devices), arranged in an environment is disclosed. A mobile device is configured to survey an environment to generate a three-dimensional map of the environment using simultaneous localization and mapping (SLAM) techniques. The mobile device and the stationary devices are equipped with wireless transceivers, such as Ultra-wideband radios, for measuring distances between the devices using wireless ranging techniques. Based on the measured distances, the mobile device is configured to determine locations of the stationary devices in a reference frame of the three-dimensional map. In some embodiments, the determined locations can be used to enable a variety of spatially aware augmented reality features and interactions between the mobile device and the stationary device.

    Flexible touch sensing system and method with deformable material

    公开(公告)号:US11809670B2

    公开(公告)日:2023-11-07

    申请号:US18152021

    申请日:2023-01-09

    CPC classification number: G06F3/0447 G06F3/0416 G06F3/0443

    Abstract: A sensing system includes a base material, a plurality of electrodes, a capacitive sensing channel and a controller. The stretchable base material has a resistance distribution that changes in response to being mechanically deformed as a result of a human body contact. The base material has a rebound elasticity. The electrodes are attached to a perimeter of the base material, the capacitive sensing channel is attached to the base material. The controller is operatively connected to the plurality of electrodes and the capacitive sensing channel. The controller is configured to measure instantaneous voltage measurements from the plurality of electrodes, and determine whether the base material is mechanically deformed based on the instantaneous voltage measurements using a support vector machine classifier.

    System for hand pose detection
    70.
    发明授权

    公开(公告)号:US11360570B2

    公开(公告)日:2022-06-14

    申请号:US17107160

    申请日:2020-11-30

    Abstract: A method for hand pose identification in an automated system includes providing depth map data of a hand of a user to a first neural network trained to classify features corresponding to a joint angle of a wrist in the hand to generate a first plurality of activation features and performing a first search in a predetermined plurality of activation features stored in a database in the memory to identify a first plurality of hand pose parameters for the wrist associated with predetermined activation features in the database that are nearest neighbors to the first plurality of activation features. The method further includes generating a hand pose model corresponding to the hand of the user based on the first plurality of hand pose parameters and performing an operation in the automated system in response to input from the user based on the hand pose model.

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