Abstract: A method for providing remote rehabilitation training is provided. The method includes receiving, by a server, a connection request from a user terminal and a therapist terminal, receiving, by the server, first image data, about an appearance where a user performs rehabilitation training using a rehabilitation training device, in real time from the user terminal, receiving, by the server, second image data, provided to the user who is performing the rehabilitation training, in real time from a rehabilitation training display device, and transmitting, by the server, the received first image data and the received second image data to the therapist terminal in real time.

Abstract: A system for encouraging therapeutic psychosocial activity of a patient comprising a master control system having a processor for operating system software, one or more portable communication devices in communication with the master control system, a testing device having testing input software that operates to transmit information to the master control system, wherein the master control system operates to transmit an information request to the one or more portable communication devices to direct the testing input software to create a window on a display screen informing the patient information has been requested, and the testing device operates to collect and transmit test information in response to the information request.

Abstract: A method, a false start detection system, and a false start detection sensor for determining whether an athlete has performed a false start in an event. Force data is received representing the force exerted by at least one upper appendage of the athlete on a surface when in a starting position (S701). The force data is processed to determine an athlete start time (S702), and the athlete start time is compared to an event start time to determine whether a false start has occurred (S703).

Abstract: A method of determining blending coefficients for respective animations includes: obtaining animation data, the animation data defining at least two different animations that are at least in part to be simultaneously applied to the animated object, each animation comprising a plurality of frames; obtaining corresponding video game data, the video game data comprising an in-game state of the object; inputting the animation data and video game data into a machine learning model, the machine learning model being trained to determine, based on the animation data and corresponding video game data, a blending coefficient for each of the animations in the animation data; determining, based on the output of the machine learning model, one or more blending coefficients for at least one of the animations, the or each blending coefficient defining a relative weighting with which each animation is to be applied to the animated object; and blending the at least simultaneously applied part of the two animations using the o

Abstract: Systems and methods for learning management systems with shared weld training results are described. In some examples, weld training results may be shared with a learning management system and/or associated with a particular learning activity of the learning management system. In some examples, the weld training results (and/or a networked location where the weld training results are accessible) may be encoded in a machine readable graphic (e.g., a one dimensional, two dimensional, and/or matrix barcode). In some examples, the machine readable graphic may be read and/or decoded by a user device to obtain the weld training results. In some examples, a particular learning activity may also be encoded in the machine readable graphic.

Abstract: Systems and methods are described for modifying one or more advertisements of a webpage or a social media feed to create a simulated cybersecurity attack. Initially, content responsive to a request by a user via a user device to access a webpage or social media feed with one or more advertisements is received. One or more advertisements are detected within the content. An advertisement of the one or more advertisements is modified or replaced with simulated cybersecurity attack advertisements. The webpage or social media feed with the modified advertisement is displayed to the user device. User interactions with the simulated cybersecurity attack content are tracked and training is provided based on user interactions.

Abstract: Apparatuses, methods, systems, and program products are disclosed for nanotechnology fabrication in a virtual reality environment. An apparatus includes a simulation module configured to generate a virtual reality environment for simulating a nanotechnology fabrication line. An apparatus includes a task module configured to provide one or more tasks associated with nanotechnology fabrication for a user to complete during a simulation within a virtual reality environment. An apparatus includes an assessment module configured to assess a user's performance while completing one or more tasks during a simulation within a virtual reality environment.

Abstract: A computer system for monitoring progress of at least one learner through an experiential learning cycle, the computer system comprising: a computer server accessible through a communications network, the computer server arranged to receive event data through the communications network from a user computing device, the event data being generated by the at least one learner progressing through the experiential learning cycle; a memory for storing empirical data indicative of the experiential learning cycle and event data received at the computer server through the communications network; and a processor configured to process the received event data and comparing the processed event data with the empirical data to determine the progress of the at least one learner through the experiential learning cycle.

Abstract: An information processing apparatus 100 acquires, when an actual performance by an athlete is started, an element that has already been performed and a score of the element that has already been performed in the actual performance, based on data acquired in real time. The information processing apparatus 100 estimates an element with a high probability of being performed hereafter in the actual performance, based on at least one of the planned performance information and the data. The information processing apparatus 100 estimates an estimated score of the actual performance being performed, based on the score of the element that has already been performed and an estimated score in the case in which estimated elements that have not been performed succeed, and generates screen information to display the estimated score of planned performance and the estimated score of the actual performance.

Abstract: Methods and apparatus for nutrition tracking. In one exemplary embodiment, a methods and apparatus for nutrition tracking are provided which receive selections of consumable items from a user, identify at least one item to be purposefully omitted in nutrition calculation, and calculate total nutrition for a period of time based on the selections. The calculation comprises purposeful omission of the nutritional data of the identified at least one of the plurality of consumable items. In order to accomplish the calculation, each of the selected items is associated with a data record in a database, each data record in the database comprising nutritional data regarding a consumable item to which the data record corresponds.

Abstract: Systems and methods for providing, conducting and modifying Blackjack involving standard playing cards in which players form two player hands to compete against two dealer hands that are set according to a preset house way.

Abstract: A tutorial system presents a tutorial comprising a series of steps for building a computing system and testing successful completion of at least one of the steps. The computing system comprises a programmable controller and at least one hardware component. The tutorial system is coupled to the target computing system via a connection. The tutorial system may present one or more programming steps for the user to enter and load particular programming to the controller. The tutorial system may further present one or more physical steps for the user to physically configure a particular hardware component, such as physically configuring connections or wiring between the particular hardware component and the controller and/or another hardware component of the computing system. The tutorial system directly tests successful completion of a physical step or a programming step through values received from the computing system via the connection.

Abstract: Systems and methods for facilitating secret communication between players are described. One of the methods includes receiving image data of a first player to identify one or more gestures and receiving input data indicating a response of a second player to the one or more gestures. The method further includes training a model using the image data and the input data to generate an inference of communication between the first user and the second user. The method also includes generating additional inferences of communication between the first user and the second user. The method includes generating a recommendation to the second user based on the inference of communication and the additional inferences of communication.

Abstract: A training device and an associated method for simulating a static, dynamic, statically contrasted, and/or dynamically contrasted fluid motion within a three-dimensional (3D) vascular bed.

Abstract: Disclosed is a method of providing user-customized learning content. The method includes: a step a of configuring a question database including one or more multiple-choice questions having one or more choice items and collecting choice item selection data of a user for the questions; a step b of calculating a modeling vector for the user based on the choice item data and generating modeling vectors for the questions according to each choice item; and a step c of calculating choice item selection probabilities of the user based on the modeling vectors of the user and the modeling vectors of the questions.

Abstract: Systems, methods, and computer-readable media are provided for online learning compliance systems. An example method can include receiving a request including a user identifier (UUID) and associated with a live or on-demand class; based on the request, retrieving course content including streamed content when the request is for the live class and a data object associated with a course, chapter, and/or lesson when the request is for the on-demand class; tracking, based on electronic messages sent to a user terminal, time spent by a user accessing the course content; based on the tracked time, updating a time spent counter in a user record associated with the UUID; and reconciling tracked live time and tracked on-demand time from the time spent counter into a progress value associated with the UUID.

Abstract: A cue processor uses one or more sensors to obtain motion data for a user performing a physical task in an environment. A cueing law is based on a model determined from the motion data, for example a movement and skill model where the collected motion data are parsed into one or more movement units used to accomplish a range of outcomes. The cue processor generates a movement phase estimation to predict a movement phase and associated movement feature, and applies the cueing law to generate a cue signal. The cue signal is communicated to the user as a visual, audio or haptic stimulus, selected to target the feature for the user to achieve or improve a desired outcome.

Abstract: Systems, methods, and articles of manufacture for electronic gaming are disclosed. In a first aspect, the method is implemented on an electronic gaming system and includes initiating, by a game controller and in response to a primary game outcome of a wagering game, a bonus game. The method also includes displaying, by the game controller and in response to the initiating, a path, where the path includes a plurality of locations, and displaying, by the game controller, a wheel, where the wheel includes a plurality of stop positions. The method includes, in addition, selecting, by the game controller, a first stop position of the plurality of stop positions of the wheel, and advancing, by the game controller, an animated character on the path by a first number of locations corresponding to the first stop position.

Abstract: Operation data is acquired from either a first type of controller having a plurality of operation sections or a second type of controller having fewer operation sections, and a game process is performed. When the first type of controller is used for game operation, a selection item is switched in a forward direction for a plurality of items arranged in a predetermined order, in accordance with an operation on a first operation section, and the selection item is switched in a reverse direction in accordance with an operation on a second operation section. In addition, when the second type of controller is used for game operation, the selection item is switched in the forward direction in accordance with an operation on a third operation section of the second type of controller. Then, a UI image including these items is generated.

Abstract: This document describes a data processing system for processing a feature vector that comprises features (one or more) that are indicative of dyslexic behavior that are indicative of dyslexic behavior. The data processing system includes a feature classification engine that generates classification metrics for a feature vector. Machine learning logic is used to determine a classification metric for each feature. Features that have a classification metric below a pre-determined threshold are removed. The data processing system includes a prediction engine that generates a prediction value indicative of a predicted likelihood of dyslexia. The prediction engine assigns, to each remaining feature, based on the classification metric of the respective remaining feature, a prediction weight and determines the prediction value based on the prediction weights.