Abstract: A method includes detecting an eye movement of a reader during a reading of presented text; determining, based on whether an eye movement is detected, whether the reader is looking at the presented text; pausing a presentation of the presented text if it is determined that the reader is not looking at the presented text; and resuming, if the presentation of the text is paused, the presentation of the presented text.

Abstract: Systems, computer-implemented methods, and computer program products to generate virtual motion sensor data from computer animations are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a tracker component that can track virtual location data corresponding to a feature of a computer animated character in a virtual environment. The computer executable components can further comprise a virtual motion sensor component that, based on the virtual location data, can generate virtual motion sensor data.

Abstract: A data presentation method through augmented reality, system, and computer program product include creating a file container for a presentation that supports raw data embedding and definition of available interactions and levels of confidentiality of information for the presentation, streaming presentation content from the file container to a plurality of augmented reality devices, and generating a personalized individual interactive experience of the presentation content for at least one person wearing an augmented reality device in the plurality of augmented reality devices.

Abstract: Methods and systems of classification model evaluation are described. A processor may generate a classifier track comprising visual indicators representing the set of classifier labels. The classifier labels may be based on output data of a classification model. The processor may generate a label track comprising visual indicators representing a set of observed labels received from a device. The processor may output the classifier track and the label track on a user interface. The processor may receive a request to evaluate the classification model, where the request may indicate a performance metric. The processor may identify a set of operators associated with the performance metric. The processor may execute the identified set of operators on the classifier track and the label track. The processor may generate a performance track indicating the performance metric of the classification model. The processor may output the performance track on the user interface.

Abstract: A facial expression feedback system for providing real-time feedback on how closely a user matches his or her facial expression to a target expression is presented. The facial expression feedback system receives sensor data captured by a set of sensors. The facial expression feedback system evaluates the captured sensor data to generate a set of confidence scores with respect to a target facial expression. The system presents the feedback by modifying a multimedia presentation based on the generated set of confidence scores.

Abstract: Techniques that facilitate condition detection in a virtual reality system and/or an augmented reality system are provided. In one example, a system includes a virtual reality component and an anomaly detection component. The virtual reality component collects motion data and biometric data from a virtual reality device. The motion data is indicative of motion information associated with one or more accelerometer sensors of the virtual reality device. The biometric data is indicative of biometric information associated with one or more biometric sensors of the virtual reality device. The anomaly detection component integrates the motion data and the biometric data into a machine learning model to generate anomaly detection data for the virtual reality device.

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.

Abstract: Systems, computer-implemented methods, and computer program products to generate virtual motion sensor data from computer animations are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a tracker component that can track virtual location data corresponding to a feature of a computer animated character in a virtual environment. The computer executable components can further comprise a virtual motion sensor component that, based on the virtual location data, can generate virtual motion sensor data.

Abstract: Techniques that facilitate condition detection in a virtual reality system and/or an augmented reality system are provided. In one example, a system includes a virtual reality component and an anomaly detection component. The virtual reality component collects motion data and biometric data from a virtual reality device. The motion data is indicative of motion information associated with one or more accelerometer sensors of the virtual reality device. The biometric data is indicative of biometric information associated with one or more biometric sensors of the virtual reality device. The anomaly detection component integrates the motion data and the biometric data into a machine learning model to generate anomaly detection data for the virtual reality device.

Abstract: Methods for enhanced exploration of dimensionally reduced data. The method including: obtaining at least one data set having a plurality of data objects, wherein each data object is characterized by a plurality of numerical features; applying a dimensionality reduction technique to the at least one data set; generating a two-dimensional scatter plot of the at least one data set, wherein each data object in the plurality of data objects corresponds to a data point in a plurality of data points in the scatter plot; and altering at least one numerical feature of a data object in the plurality of data objects, wherein a position of the data point corresponding to the data object is affected in real-time, and wherein the remaining data points in the plurality of data points are unaffected. In addition, the present invention provides another method and computer program product.