Abstract: An online platform generates a playlist of clips of a lecture accessed by a plurality of users of the online platform. The online platform receives a recording of the lecture, and receives a plurality of events captured during a time period corresponding to the lecture. Each captured event is associated with a time stamp corresponding to a time at which a user performed an activity while listening to the lecture. The online platform clusters the captured events based on the time stamps, and generates one or more clips of the recording of the lecture from the clustered events. The online platform generates a playlist including the clips of the lecture.

Abstract: Methods and systems for scoring an argument critique written essay, including identifying a discourse segment of the argument critique written essay, determining a position of each sentence in the discourse segment, classifying sentences into discourse units, evaluating an argumentative content of each sentence, and assigning an argumentative score to the essay based on the argumentative content of each sentence in the discourse segment of that essay. Methods and systems for training the scoring method are also disclosed. Corresponding apparatuses, systems, and methods are also disclosed.

Abstract: Techniques for providing annotations in a web browser or a native application herein include analyzing the structure of a webpage to determine a topology, constructing a model of the webpage based on the topology configured to automatically monitor the topology and to update the model based on detected changes to the webpage, extracting, from the model, a first text string from textual content of a first editable node, sending at least first portion of the first text string to a server to obtain annotations, detecting that the textual content of the first editable node has been modified by a second text string modifying at least a portion of the textual content, receiving the annotations from the server comprising suggestions for improving the first text string, updating the annotations to produce reconciled annotations by modifying the annotations, and rendering the reconciled annotations over the first editable node.

Abstract: In a method of training for welding through virtual reality, a virtual reality (VR) headset is provided, along with a processing device and at least one welding training tool, wherein the processing device is communicably coupled with the virtual reality headset and the at least one welding training tool such as a hand-held welding device designed to simulate a real-world welding experience in virtual reality. A virtual welding environment is displayed through the VR headset, and user input such as motion tracking is received through the at least one welding training tool. The user input is evaluated through the processing device to evaluate user welding performance. Various user feedback devices such as sound and scent generation may be implemented in order to accurately simulate a welding procedure, in addition to eye tracking. Various welding scenarios may be completed by the user to train for welding in the virtual welding environment.

Abstract: The present invention relates to an automatic injection training device (10) comprising an elongated housing (12) having a distal end (14) and an opposite proximal end (16) and extending along a longitudinally axis (L); a tubular demo container (128) axially and rotationally fixed relative to the elongated housing (12) and having a tubular wall (140) extending along the longitudinally axis (L); a reloadable plunger assembly (104) comprising a plunger rod (106) which is movable in the demo container (128) between a first and a second position and a first energy accumulating element (110) configured to move the plunger rod (106) from the first to the second position; an actuation assembly (42) configured to hold the plunger rod (106) in the first position and to release the plunger rod (106) from the first position.

Abstract: A system and method for assisted-learning with a portable computing device that includes a color detection mode and a game mode.

Abstract: A device may provide, to user devices, a set of objects that are to be used by the user devices as part of a collaborative virtual environment. The collaborative virtual environment may support a virtual workshop. The set of objects may include objects capable of being used to solve a problem that is presented to users within the virtual workshop. The device may receive data describing a set of solutions. The device may curate the data describing the set of solutions using one or more natural language processing techniques. The device may rank the set of solutions that has been curated using a ranking technique or a machine learning technique. The device may provide data identifying a highest ranked solution or data identifying the set of solutions for display within the virtual workshop or to additional user devices that are accessible outside of the virtual workshop.

Abstract: Systems and methods for automatic generation of a content presentation plan are disclosed herein. The method can include receiving content identification information, retrieving objective information for the one or several objectives identified for inclusion in a content presentation plan, identifying at least one prerequisite skill for completion of at least one of the one or several objectives, generating at least one remediation question configured to delineate between users having mastery of the at least one prerequisite skill and users not having mastery of the at least one prerequisite skill, pre-selecting remedial content for providing to users identified as not having mastery of the at least one prerequisite skill, selecting objective content corresponding to the at least one objectives, and creating a content presentation plan containing the at least one remediation question, the remedial content, and the objective content.

Abstract: Systems and devices to perform knowledge-driven dynamic conversations and select content within automated agents such as chatbots and virtual assistants are disclosed. In an example, operations to facilitate a knowledge-based conversation session with a human user using an automated agent include: receiving a conversational input regarding a support issue; analyzing the conversational input to determine an intent and applicable entity properties associated with the intent; performing a multi-turn conversation to identify a solution using the intent and the applicable entity properties, by exchanging iterative questions and answers between the automated agent and the user to dynamically recalculate applicability of the solution to the support issue; and outputting information associated with the identified solution.

Abstract: The present disclosure provides an exercise guidance method and an exercise guidance device. The method includes receiving myoelectric parameters of a user collected by a plurality of myoelectric sensors, determining a current exercise state of the user based on myoelectric parameters, generating exercise guidance information based on the current exercise condition, and sending the exercise guidance information to a terminal.

Abstract: A system and method perform remote physical training. The method includes receiving movements performed by an operator who is remotely located, and presenting the movements of the operator as movements performed by an avatar representing the operator in a virtual reality environment. The method also includes remotely monitoring the movements of the avatar, and providing real-time feedback on the movements to the operator.

Abstract: A first selectable slide presentation priority level assigned to a slide presentation is determined responsive to detecting an indication from a user using an input device to start the slide presentation. Individual slides of the slide presentation determined to include an assigned individual slide priority level equal to or higher than the assigned first selectable slide presentation priority level are selectively presented. For each presented slide, any additional content-dependent slides with assigned individual slide priority levels lower than the assigned first selectable slide presentation priority level that are determined, according to inter-slide content dependency data, to include a user-assigned inter-slide content dependency upon content of the presented slide are selectively presented.

Abstract: A computer device may identify an interaction device that is capable of outputting a simulation representative of an identified aspect of an entity. The computer device may trigger the identified interaction device to output a simulation of the identified aspect.

Abstract: An exercise feedback system receives exercise data captured by client devices of users performing musculoskeletal exercises. The exercise feedback system may provide captured images to a client device of a physical trainer (PT) who remotely provides feedback on the users' exercise performances, for example, by labeling images as indicative of proper or improper musculoskeletal form. A PT may track multiple users using a central feed, which includes content displayed in an order based on ranking of users by a model. Additionally, the exercise feedback system may provide an augmented reality (AR) environment. For instance, an AR graphic indicating a target musculoskeletal form for an exercise is overlaid on a video feed displayed by a client device. Responsive to detecting that a user's form is aligned to the AR graphic, the exercise feedback system may notify the user and trigger the start of the exercise.

Abstract: Handwriting learning apparatuses and associated methods that facilitate the ability of a user to learn how to correctly and/or preferably form at least one character are disclosed. In an aspect, handwriting learning apparatuses and associated methods of use are disclosed that comprise at least one substantially flat at least partially rigid medium within which one or more segments of one or more characters may be defined by one or more grooves. At least one protruding element may extend outwardly from at least one portion of at least one inner surface of the grooved character(s) at an angle such that when the user attempts to use an elongated insertion device to trace the grooved character segment(s), the insertion device may only slide in one single direction. This may help prevent users, such as children and other students, from forming characters incorrectly (e.g.

Abstract: An exercise feedback system receives exercise data captured by client devices of users performing musculoskeletal exercises. The exercise feedback system may provide captured images to a client device of a physical trainer (PT) who remotely provides feedback on the users' exercise performances, for example, by labeling images as indicative of proper or improper musculoskeletal form. A PT may track multiple users using a central feed, which includes content displayed in an order based on ranking of users by a model. Additionally, the exercise feedback system may provide an augmented reality (AR) environment. For instance, an AR graphic indicating a target musculoskeletal form for an exercise is overlaid on a video feed displayed by a client device. Responsive to detecting that a user's form is aligned to the AR graphic, the exercise feedback system may notify the user and trigger the start of the exercise.

Abstract: Device for linking bodily movement to learning behaviour, whereby this device (1) consists of a number of objects that can be used by pupils as flexible adjustable seating units (2), characterised in that these seating units are each equipped with a digital module (4) that is able to detect movements of the seating unit caused by the pupils, and to communicate these movements wirelessly to a central teaching module (3), after which the central teaching module (3) can wirelessly send back an individual message to each of the seating units (2), adapted to the movement that is made with each of the seating units.

Abstract: Firearm simulator targets and firearm simulation systems are disclosed. A firearm simulator target includes a processor, a memory module, a plurality of light emitting diodes, and machine readable instructions stored in the memory module. When executed by the processor, the machine readable instructions cause the firearm simulator target to illuminate a target pattern subset of the plurality of light emitting diodes such that the target pattern subset of the plurality of light emitting diodes are illuminated to display a target pattern. The target pattern subset of the plurality of light emitting diodes that are illuminated includes a first light emitting diode. When executed by the processor, the machine readable instructions further cause the firearm simulator target to receive a signal from the first light emitting diode, and determine a target hit location at the first light emitting diode based on the signal received from the first light emitting diode.

Abstract: A method for assessing a pre-cognitive emotional response from a test subject, using responses obtained during the first moments of brain activity after presentation of a stimulus, includes exposing the test subject to a visual stimulus for between approximately 500 milliseconds and approximately 1 second, and receiving an input from the subject while the subject is exposed to the visual stimulus or within approximately 300 milliseconds after the subject is first exposed to the stimulus. The method further includes storing, in response to receiving the input, a user response that identifies one of a plurality of emotional reactions that is associated with the visual stimulus. Each of the exposing, receiving, and storing acts is repeated for a plurality of visual stimuli. The method further includes determining, based on each of the stored user responses, one or more dominant emotional characteristics of the subject.

Abstract: Computer-implemented systems and methods are provided for automatically generating recitation items. For example, a computer performing the recitation item generation can receive one or more text sets that each includes one or more texts. The computer can determine a value for each text set using one or more metrics, such as a vocabulary difficulty metric, a syntactic complexity metric, a phoneme distribution metric, a phonetic difficulty metric, and a prosody distribution metric. Then the computer can select a final text set based on the value associated with each text set. The selected final text set can be used as the recitation items for a speaking assessment test.