Abstract: A reward learning system includes a user interface configured to receive modes of user information related to a state of the user. A cognitive computing system includes a reward system. The reward system includes a dynamically upgraded profile model of the user which is updated in accordance with the user information related to the state. The reward system is updated by machine learning employing feedback from user responses measured by the user interface and searched information by the cognitive computing system. The reward system includes an increasing reward protocol based on learned user preferences and responses and rewarded in accordance with user achievements.

Abstract: An electrical training simulator allows students to assemble electrical circuits, including motor control circuits, utilizing a variety of lab schematics. The electrical training simulator allows an instructor to induce faults into the student-assembled circuit, thereby requiring the student to apply troubleshooting skills utilizing the lab schematic and digital multimeter to analyze and locate the introduced fault in the circuit. Electrical components are fixedly attached to a component mounting plate. In one embodiment of the invention, the instructor introduces the faults through a fault control panel attached to the electrical training simulator, where the fault control panel is not within view of the student. In another embodiment, the faults may be introduced wirelessly through a remote controller.

Abstract: A computer-implemented method includes selecting, by a virtual problem-based learning (PBL) system, information indicative of a medical profile of a patient; accessing, by the virtual PBL system, information indicative of a team of students using the virtual PBL system; generating, by the virtual PBL system and based on the medical profile, an medical PBL schema comprising a medical problem to be solved by the team of students; generating a plurality of sections in the medical PBL schema, with each section promoting solving of the medical problem, and with each section associated with (i) a private work environment for a student to privately analyze the medical problem, and (ii) a shared, anonymous work environment for the students to view analysis performed by other students in solving the medical problem; and transmitting, to one or more client systems used by the students participating in the virtual problem-based learning system, the medical PBL schema.

Abstract: The present invention is a system, method, and teaching aid for continuously improving the system for educating students to a level of mastery and for systematically improving the mastery standard The invention includes a cost efficient system that enables multiple cycle of learning for each lesson, and the system is continuously reviewed and revised based on feedback showing the understanding and knowledge on the part of the students. Repetitive cycles of learning result in students with mastery level skill and confidence. The invention also includes a cost efficient method for creating the course and preparing instructors to teach the course.

Abstract: A moving body information providing system constituted by a moving body information analysis device and wearable devices 1 mounted to soccer players for detecting the status of the soccer players, wherein the wearable devices are each provided with a storage unit, an internal timer, a position sensor, a moving body information detection sensor having a plurality of types of sensors, an initial-time setting unit, a position data calculation unit, an output control unit, a communication module, and other components, and the moving body information analysis device has a tablet provided with a moving body information transmission/reception unit, an analysis result display processing unit, and other components, and an analysis result providing device of an analysis center provided with a storage unit for fine position data, a position calculation unit, or the like.

Abstract: System and techniques for positional analysis using computer vision sensor synchronization are described herein. A set of sensor data may be obtained for a participant of an activity. A video stream may be captured in response to detection of a start of the activity in the set of sensor data. The video stream may include images of the participant engaging in the activity. A key stage of the activity may be identified by evaluation of the sensor data. A key frame may be selected from the video stream using a timestamp of the sensor data used to identify the key stage of the activity. A skeletal map may be generated for the participant in the key frame using key points of the participant extracted from the key frame. Instructional data may be selected using the skeletal map. The instructional data may be displayed on a display device.

Abstract: A cognitive training method having a processor to store exercise category data which has a number of task data, each of the task data including levels of difficulty. There is included a visual display and an audio transducer and a user interfaces actuated to accept user data in response to a selected task. The user data is sent from the user interface to the processor and the processor stores and evaluates the user input data and based upon evaluation of the user input data, adjusts a subsequent level of difficulty associated with a selected task. If user input data is above a correct data threshold, the level of difficulty may be adjusted responsive to an evaluation of the user input data.

Abstract: Provided, in an aspect, is a dynamic number board game. A method for generation of the dynamic number board game can include, receiving one or more input data associated with generation of the dynamic number board game; generating one or more timers in accordance with the received input data; determining one or more fluency metrics in accordance with the received input data; generating a primitive number board game based on the received input data; generating one or more problems for the primitive board game based on the received input data; dynamically generating one or more hints for each of the generated problems; and presenting for display, the dynamic number board game based on the primitive number board game, the one or more timers, the one or more fluency metrics, and the dynamically generated one or more hints.

Abstract: Disclosed are techniques for leveraging machine learning to generate posture adjustment values for specific body postures of a player to improve loop drive techniques, such as in table tennis. Video clips of a player hitting a ball with a loop drive technique are analyzed to determine values for specific body postures and qualities of the ball after being hit. A machine learning model is generated to analyze relationships between body posture values and ball qualities. Upon receiving a video clip of a live session of a player hitting a ball using a loop drive technique, the machine learning model is used to generate adjustment values for body postures of the player to impart improved loop drive qualities to the ball, such as faster topspin.

Abstract: A training system operates to provide an online training system that includes an instructional portion, a performance portion and a results report. A trainer can create training modules and/or training programs and then launch a training program in which one or more users, utilizing a user system, can participate. A training program consists of one or more training modules. Each training module is configured to first run in a demonstration mode, in which the operator streams a demonstration of the physical activity required by the training module to one or more user systems. Users can thus view the demonstration of the physical activity on the user systems. The training module then enters a trial or trial mode in which each of the participants then engage in performing the physical activity. The user systems present a video/graphical display to show various performance criteria of the training module.

Abstract: Techniques are disclosed herein for improving the accuracy of nutritional responses measured in a non-clinical setting. Using the technologies described herein, different techniques can be utilized to improve the accuracy of test data associated with one or more “at home” tests. In some examples, more than one test is utilized to improve the accuracy of test data associated with a particular biomarker. In other examples, a data accuracy service can programmatically analyze data received from an individual and determine whether the data is accurate. In some examples, a computing device is utilized to assist in determining what food item(s) are consumed, as well as determine whether a test protocol was followed.

Abstract: The invention relates to a device for neurovascular stimulation, at least comprising: at least one brain activity sensor, at least one cardiovascular sensor, at least one computing unit and at least one output unit. The computing unit comprises at least one task algorithm, wherein signals of at least the brain activity sensor and the cardiovascular sensor can be received by the computing unit, and wherein a task, which is in correlation with at least the signals from at least the brain activity sensor and the signals of the cardiovascular sensor, can be determined by means of the task algorithm and can be output by means of the output unit.

Abstract: Learning systems and methods of the present disclosure include generating a text document based on a digital file, tokenizing the text document, generating a semantic model based on the tokenized text document using an unsupervised machine learning algorithm, assigning a plurality of passage scores to a corresponding plurality of passages of the tokenized text document, selecting one or more candidate knowledge items from the tokenized text document based on the plurality of passage scores, filtering the one or more candidate knowledge items based on user data, generating one or more structured learning assets based on the one or more filtered candidate knowledge items, generating an interaction based at least on the one or more structured learning assets, and transmitting the interaction to a user device. Each passage score is assigned based on a relationship between a corresponding passage and the semantic model.

Abstract: A method for planning parameters of a fitness course is disclosed. The method includes the following steps: generating a plurality of limb motion signals by sensing a plurality of limb motions of a body builder through a sensing module, and sensing a physiological state of the body builder to generate a physiological state signal via the sensing module; obtaining a workout characteristic index (WCI) by performing a first calculation related to the plurality of limb motion signals, and obtaining a physiological effect index (PEI) by performing a second calculation associated with the physiological state signal; obtaining a workout effect index (WEI) by performing a third calculation associated with the WCI and the PEI; and evaluating a plurality of categorical factors associated with the WEI to plan the parameters of the fitness course.

Abstract: The invention relates to a process for controlling a simulator, wherein acceleration forces along the vertical axis of the vehicle are to be simulated by tilting the simulator booth.

Abstract: Methods, systems, and computer program products for exercise monitoring and coaching using audio devices are provided herein. A computer-implemented method includes processing a first set of one or more auditory prompts, wherein the first set of auditory prompts pertains to initiation of at least one activity with respect to a user; detecting, in connection with the first set of auditory prompts, one or more sets of movements being performed by the user, wherein said detecting comprises (i) emitting one or more acoustic waves towards the user and (ii) processing reflection of the one or more acoustic waves from the user; classifying, based on said detecting, the one or more sets of movements as one or more predefined exercises; and generating and outputting a second set of auditory prompts to the user, wherein the second set of auditory prompts pertains to the predefined exercises being performed by the user.

Abstract: Systems and methods for surgical training are provided. The system may include an operating display console for a first surgeon to view a video feed of a surgery while the first surgeon performs the surgery. The system may also include a training display console for a second surgeon to view the video feed of the surgery while the surgery is performed. The system may further include a controller that interfaces with the operating display console and the training display console. The training display console may include a training interface for pausing the video feed displayed on the training display console, and for switching from a display mode to a simulation mode for simulating one or more surgical steps of the surgery.

Abstract: Techniques are disclosed herein for using standardized meals and digital devices can be utilized outside a clinical setting to assist in determining/predicting one or more clinical states associated with one or more individuals. Using the technologies described herein, different techniques can be utilized to for using nutritional response measurements. For example, response measurements can be obtained for two fat meals instead of a single fat meal. Data associated with a circadian rhythm (e.g., sleep times, awake times) can also be utilized to improve the accuracy of the measured biomarkers. In other examples, biome data and other data can be utilized.

Abstract: Systems and methods that support the creation and timely electronic scheduling and delivery of course materials for training of individuals in an organization, in which course recommendations, scheduling, and rollout are based upon a number of factors including, for example, specific individual and/or business day-to-day operational performance measures, sales performance, and seasonal weather conditions by geographical region.

Abstract: In aspects of a wireless hand sensory apparatus for weight monitoring, a wearable article is worn by a user who moves items. A tracking system is implemented in the wearable article, and the tracking system includes a force sensor, or force sensors, in the wearable article to register a force on an item. The tracking system includes tracking logic that determines a weight of the item based on the force on the item. The tracking system may also include a motion sensor to sense motion of the wearable article, and the tracking logic determines how the item is moved based on the motion of the wearable article. The tracking logic can also determine the weight of the item based on the force on the item in combination with a speed of the motion of the wearable article.