Incremental adaptive modification of virtual reality image

    公开(公告)号:US10732705B2

    公开(公告)日:2020-08-04

    申请号:US16204073

    申请日:2018-11-29

    Abstract: A system and method to perform incremental adaptive modification of a virtual reality image involve obtaining sensor measurements from sensors coupled to an individual who is performing a task while viewing the virtual reality image. The method includes generating a true model of the individual from the sensor measurements, comparing the true model with an expert model obtained from another individual performing the task, and developing a lesson plan based on determining a difference between the true model and the expert model. The developing the lesson plan includes determining a gradient of intermediate models within the difference. A different one of the intermediate models is included iteratively along the gradient from the true model to the expert model in the virtual reality image.

    Augmented reality speed reading
    13.
    发明授权

    公开(公告)号:US10725540B2

    公开(公告)日:2020-07-28

    申请号:US16023427

    申请日:2018-06-29

    Abstract: Augmented reality speed reading is provided by detecting a reader's changing gaze direction; detecting movements of the reader's eye; and between movements of the reader's eye, displaying text at the reader's gaze direction. An exemplary apparatus includes an eye illuminator that delivers light to a reader's eye; an eyeward camera that generates digital images of the reader's eye including reflected light from the eye illuminator; a display; and a processor that is connected in communication with the eyeward camera and the display. The processor implements an eye tracking module that receives the digital images from the eyeward camera and detects the reader's gaze direction, and the processor implements a text display module that controls the display to present text at the reader's gaze direction.

    MACHINE LEARNING FOR MEDICAL SCREENING RECOMMENDATIONS BASED ON PATIENT ACTIVITY INFORMATION IN SOCIAL MEDIA

    公开(公告)号:US20190026438A1

    公开(公告)日:2019-01-24

    申请号:US15656406

    申请日:2017-07-21

    Abstract: According to an embodiment of the present invention, a system analyzes a collection of medical documents to identify within document content risk factors of medical conditions associated with corresponding activities. A processor in the system maps the identified risk factors of the activities to one or more medical tests for the associated medical conditions, and analyzes a medical record and social media communications of a patient to determine participation of the patient in one or more of the corresponding activities. The processor determines the one or more medical tests to conduct from the mapping based on the risk factors associated with the determined activities of the patient. Embodiments of the present invention further include a method and computer program product for analyzing patient activity to conduct appropriate medical tests in substantially the same manner described above.

    Building a model based on responses from sensors

    公开(公告)号:US12045694B2

    公开(公告)日:2024-07-23

    申请号:US16448176

    申请日:2019-06-21

    CPC classification number: G06N20/00 G06F3/015 G16C60/00 H04L67/535

    Abstract: A system includes a virtual reality system configured to enable a user to interact with a virtual environment, a plurality of biofeedback sensors configured to monitor a user, and a computer system including a virtual reality module configured to generate at least a view of the virtual environment, a biofeedback module configured to fuse output of the plurality of biofeedback sensors with a plurality of events within the virtual environment, a training module configured to generate a model of user behavior, wherein the training module executed by the computer system enables the computer system to make a prediction of a user response of the user based on a corpus of biofeedback data, and an alert module configured to generate at least one alert to the user via the virtual reality system based on the user response predicted by the computer system.

    Adaptive dialog strategy for multi turn conversation systems using interaction sequences

    公开(公告)号:US11140110B2

    公开(公告)日:2021-10-05

    申请号:US16172016

    申请日:2018-10-26

    Abstract: A method, computer program product and computer system for recovering from a likely exit condition in an electronic conversation with a user and interactive agent is provided. A processor retrieves one or more messages from a conversation between a user and an interactive agent. A processor determines at least one label for the one or more messages between a user and an interactive agent. A processor compares the at least one label for the one or more messages to a sequence model. A processor identifies the one or more messages from the conversation indicate an exit condition for the user based on the comparison of the at least one label for the one or more messages to the sequence model. A processor sends a recovery message to the user to redirect the conversation.

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