Abstract: A method and system for detecting fraudulent network events in a payment card network are provided. A plurality of scored payment card transaction authorization requests is received, originating from a plurality of merchants, and data structures for each of a plurality of merchant groups are generated. Each data structure sorts the scored authorization requests into fraud score range stripes. The data structures are parsed over a plurality of time periods, and at least one cumulative metric is calculated for each merchant group for each of the time periods in each fraud score range stripe. A plurality of ratio striping values is determined for each merchant group, and a set of feature inputs is generated using the ratio striping values. A second fraud detection model is applied to the scored authorization requests. Parameters of the second fraud detection model are configured to change based on the generated set of feature inputs.

Abstract: A framework provides a detailed explanation regarding specific aspects of a (complex) calculation produced by an application (e.g., an analytical application). An explainability engine receives a request for explanation of the calculation. The explainability engine traverses homogenous data clusters according to the request, in order to produce a final path. The final path is used to select and then populate a template comprising explanation note(s). The outcome (comprising the final path and the template) is processed with a ruleset according to a covariance (COV) function in order to provide a first intermediate outcome. The first intermediate result is then processed with a second input according to a correlation (COR) function to provide a second intermediate outcome. The second intermediate result is processed according to a challenge function to provide a challenged outcome, and feedback (e.g., reward or penalization) to the ruleset. The challenged outcome provides detailed explanation to the user.

Abstract: The systems and methods may use machine learning models to process device data of user devices and determine device usage behaviors for the users of the user devices based on the device data. The systems and methods may provide relatable insights for the device usage behaviors in a user-friendly manner. The systems and methods may provide actional recommendations that users may take in response to the insights provided to promote healthy device usage behaviors or to prevent or reduce the device usage behavior. The systems and methods may also provide recommendations with access to information or other content related to the device usage behavior.

Abstract: Disclosed is a computer program stored in a computer-readable storage medium for achieving the above-described objects. When the computer program is executed by one or more processors, the computer program causes the one or more processors to perform the following operations of generating video data for diagnosing a health condition and a pathological symptom on the basis of a biosignal. The operations include receiving a biosignal of a user, preprocessing the biosignal to generate a plurality of pieces of video sub-data, and selecting at least two of the plurality of pieces of video sub-data to generate one or more pieces of video data.

Abstract: Certain aspects of the present disclosure provide a method, including: processing input data with a feature extraction stage of a machine learning model to generate a feature map; applying an attention map to the feature map to generate an augmented feature map; processing the augmented feature map with a refinement stage of the machine learning model to generate a refined feature map; processing the refined feature map with a first regression stage of the machine learning model to generate multi-dimensional task output data; and processing the refined feature data with an attention stage of the machine learning model to generate an updated attention map.

Abstract: Systems and methods are provided for the design and implementation of experiments that facilitate the investigation of process data. The experiments involve recording the completion of a task by participants and then playing back the video of task completion to automatically probe participants about their affective, behavioral, and cognitive experiences. As a result of this system, information about affective, behavioral, and cognitive processes can be more easily investigated by researchers without computer programming knowledge. Corresponding apparatuses, systems, and methods are also discussed.

Abstract: Systems and methods are for production, management, syndication and distribution of exercise class content for use with an exercise apparatus. An exercise content distribution system includes a database storing the exercise content and data associated with a content provider and an application provider, and a platform server operable to facilitate delivery of the exercise content to the exercise apparatus. The platform server is configured to deliver archived exercise classes, receive a selection of one of the archived exercise classes, transmit data representing content of the selected archived exercise class, receive performance data based on activity by the first user, generate archived performance data for a plurality of other users, and dynamically update a ranked list and at least some of the synchronized archived user performance parameters for display by the exercise apparatus.

Abstract: A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.

Abstract: Provided is a method, computer program product, and system for modifying a simulation based on learning characteristics. A processor may receive a user profile associated with a user. The user profile includes a set of learning characteristics related to the user. The processor may display a simulation on an extended reality display. The displayed simulation is based in part on the set of learning characteristics. The processor may monitor focus data related to the user. The focus data is generated while the user is viewing the simulation. The processor may compare the focus data with one or more focus thresholds. The processor may modify the simulation in response to the one or more focus thresholds being met.

Abstract: Methods and systems for culturally sensitive operation of an electronic device. One or more cultural characteristics (CC) related to use of a communication device are determined and one or more cultural characteristics rules are learned. An amelioration action is triggered based on use of the communication device, the one or more cultural characteristics rules, and a confidence/risk level.

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: Tooth brushing monitoring system is disclosed that includes an oral hygiene device with a separate an optical sensor to track positional changes of the oral hygiene device. The optical sensor may alone or in combination with motion sensor data determine position and orientation of an oral hygiene device with respect to a user's mouth. The system may then determine the quality, quantity and location of brushing and provide feedback on the quality of brushing. This feedback provides motivation for users to increase their brushing habits, leading to a decrease in plaque, tooth decay and gingivitis.

Abstract: Implementations disclosed herein provide user interfaces that are configured to selectively use and present device and system resources in ways that motivate inmate engagement with self-administered courses. One example of this is a user interface that is provided with music enabling capabilities as a reward to motivate course engagement. The user interface presents a segment of course material of one or more self-administered courses and the app determines an engagement score indicating a level of engagement by the inmate with the segment of the course material. The app determines that the inmate qualifies for a music reward based on the engagement score satisfying reward criteria, and accordingly displays, on the user interface, a notification of the music reward and/or enables music on the inmate device, for example, during display of a second segment of the course material.

Abstract: Provided is a method, computer program product, and system for modifying a simulation based on learning characteristics. A processor may receive a user profile associated with a user. The user profile includes a set of learning characteristics related to the user. The processor may display a simulation on an extended reality display. The displayed simulation is based in part on the set of learning characteristics. The processor may monitor focus data related to the user. The focus data is generated while the user is viewing the simulation. The processor may compare the focus data with one or more focus thresholds. The processor may modify the simulation in response to the one or more focus thresholds being met.

Abstract: A system for rendering delivery services is provided which includes a portable data collection device. The portable data collection device includes an integrated location determination system. A trip schedule for an individual or item including a pickup location and a drop off location is provided to the portable data collection device. A respective location identifier is associated with the pickup and drop off locations. The location determination system of the portable data collection device provides a location of the portable data collection device at the occurrence of a pickup or dropoff. The location identifiers associated with the pickup and drop off locations are compared with the location of the portable data collection device at the pickup and drop off locations.

Abstract: Exemplary embodiments are disclosed of systems and methods for providing location-based security and/or privacy for restricting user access. In an exemplary embodiment, a system is configured to restrict and condition access to the system and/or data based on a user's selection of location-based data from a plurality of options presented by the system for selection by the user. The plurality of options include the location-based data and one or more other options that are selectable by the user.

Abstract: Systems and methods for dynamically providing video checkpoint questions to counter viewer distraction events are disclosed. In embodiments, a method includes: initiating, by a computing device, a viewing session of a video module at a user computer system; determining, by the computing device, a distraction event with respect to a viewer of the video module during the viewing session, wherein the distraction event is associated with content at a distraction point in the video module; dynamically generating, by the computing device, a checkpoint question for the viewer based on the content at the distraction point in the video module and in response to the determining the distraction event; and presenting, by the computing device, the checkpoint question to the viewer during the viewing session.

Abstract: A breastfeeding simulation system (BSS). The BSS includes a breast prosthesis having a pliable nipple, and a baby mannequin configured to interface with the breast prosthesis, the baby mannequin includes an articulating head, a motorized jaw, the articulating head further includes a mouth normally placed in a closed position by the motorized jaw, where the motorized jaw opens when an object is detected near the mouth and the baby mannequin is positioned according to a predetermined angular position, and a palate sensor, configured to provide a proper placement signal when the pliable nipple is placed at a predetermined position.

Abstract: A method and system for a real-time and context-aware music recommendation system is disclosed. A plurality of data samples generated from an application in a user device of a user for a plurality of audio files are received. One or more probability distributions over the plurality of audio files are computed based on one or more pre-defined criteria. The one or more pre-defined criteria based on the plurality of data samples. A ranking of the plurality of audio files is determined from the one or more probability distributions over audio files. One or more audio files from the ranking of the plurality of audio files to the user through a User Interface (UI) of the user device in the application are recommended.

Abstract: In order to satisfy a need for a high reliability mortality risk prediction method and device while minimizing the efforts to be taken by the patient and health personnel, the present invention provides a method for assessing a mortality risk of a cardiac patient based on respiratory sinus arrhythmia, said method comprising the following steps. Step A: Computing the mean respiratory sinus arrhythmia during inhalation and/or exhalation for a plurality of breathing cycles of said patient. Step B: Assessing the mortality risk of said patient based on said computation. A device for performing said method is also disclosed.

Abstract: An information processing apparatus includes a calculation unit, a designing unit, and a presentation unit. The calculation unit calculates autonomic activity of a participant, using biometric information measured by a measuring device that measures biometric information of the participant belonging to a group place. The designing unit designs a progress plan of communication at the group place in a design aspect corresponding to the calculated activity. The presentation unit presents the designed progress plan.

Abstract: Systems and apparatus for covering, protecting, and concealing personal, private, confidential, and nonpublic information. The systems and apparatus can include a releasable, removable, or unreleasable binding device, tamper-evident features, labeling features, and binding devices can be configured to connect and secure covering devices and which can substantially rotate 360 degrees, fold back upon itself, lie flat when open, and releasable covering devices to cover personal, private, nonpublic, or other information.

Abstract: The system provides the ability for primary users (e.g., parents, or the like) to assign actions to dependent users (e.g., kids, or the like) through the use of devices located at the location of the dependent users (e.g., home, or the like). The actions may be tasks for the dependent users to complete using devices (e.g., appliances or other devices). Moreover, the primary users can monitor if the dependent users are undertaking the assigned actions using the devices, and in response, may control the use of other devices at the same location (e.g., entertainment devices) until the dependent users undertake the actions (e.g., start, complete, etc. the actions). Assignment of the actions and control of the devices may be made automatically in order to aid in achieving the one or more desired actions. Notification of the actions and/or instructions on how to perform the actions may pushed to the devices.

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: The present disclosure concerns determining physiological training effect of a physiological performance of a person by monitoring the performance using one or more performance-monitoring means in order to obtain performance data, and, according to one aspect of the invention, determining, using computing means capable of utilizing the performance data, a third training effect parameter describing a third physiological effect of the performance using a third determination method, the third physiological effect being a combination effect of the first and second physiological effects which are different from each other and are descriptive of different physiological effects of training, such as homeostatic disturbance and cumulative physiological load, respectively.

Abstract: A device and a method of providing a to-do list of a user are provided. The device includes a controller configured to collect behavior information about behavior between the user and another user, the behavior being performed by using the device, generate a to-do list of the user based on the collected behavior information, and determine an unperformed task not performed by the user from among at least one task in the to-do list by using log information about an operation of the device, and an output unit configured to output notification information in a dialogue style, along with a notification reason for notifying the determined unperformed task.

Abstract: A device and a method of providing a to-do list of a user are provided. The device includes a controller configured to collect behavior information about behavior between the user and another user, the behavior being performed by using the device, generate a to-do list of the user based on the collected behavior information, and determine an unperformed task not performed by the user from among at least one task in the to-do list by using log information about an operation of the device, and an output unit configured to output notification information in a dialogue style, along with a notification reason for notifying the determined unperformed task.

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: A method and system for behavioral performance reinforcement is presented. A behavioral reinforcement device includes a housing with an electronic display, where the electronic display displays a user's behavioral performance both numerically and symbolically. The housing includes a sensor to detect a user input and a token dispenser to dispense tokens. When the sensor detects a pre-defined user input, a controller executes a device activation sequence to turn the device on or a device deactivation sequence to turn the device off.

Abstract: A wind tunnel for stable sustained human flight for research or recreation, including a tunnel including first and second portions having first and second central axes, respectively, and a fan to create an air flow in the test section. The second portion is a test section. The first and second central axes are arranged at a first angle with respect to each other. The second central axis is at a second angle of 5°-85° with respect to a horizontal plane. A safety system for an inclined wind tunnel for stable sustained human flight is provided, including an inclined test section of the wind tunnel that is arranged at an angle of 5°-85° with respect to a horizontal plane, a fan to create an air flow in the test section directed from an upstream end towards a downstream end thereof, and a delimiting arrangement arranged at the test section for preventing a person using the test section from leaving it.

Abstract: A target respiration rate is determined for a user where, when the user breathes at the target rate, the user's vagal tone is improved, which provides a physiological benefit to the user, e.g., stress reduction without drug intervention. The user is directed to breathe at different rates while heart rate and breathing rate are measured. A value representative of vagal tone is generated from the measured heart and breathing rates for each directed breathing rate. The breathing rate that produced the lowest generated vagal tone value is determined to be the user's target respiration rate.

Abstract: The invention is generally a system that enables a user to visually and graphically track their fitness goals using an interactive device connected to a server, wherein fitness progress data of the user is stored and made available to the user via a user interface, for example on a mobile device application or a webpage. The system of tracking fitness progress comprises a server, a database, and a device, for example a fitness booth, for taking images and gathering fitness progress data from a user. The information gathered at the fitness booth, including images, is stored in the database. Users are provided a graphical user interface to update and access their fitness progress data, thereby facilitating the user's tracking of their fitness progress.

Abstract: Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment, friends used and the like. Workout information may be shared to social messaging and networking outlets. Workout information shared may include map information including images of maps, interactive maps, links to maps, route information and the like and/or combinations thereof. Additionally or alternatively, an application may be configured to execute within a context of a social networking system to facilitate athletic activity data transfer and generation of workout entries in the social networking site.

Abstract: An example method includes outputting a graphical dashboard that includes one or more learning objective nodes and one or more skill nodes, selecting one or more software agents that are associated with the one or more skill nodes, providing, to at least one host computing system, an indication of the one or more software agents that are configured to collect parameter data from the at least one host computing system while a trainee performs actions, receiving the parameter data collected by the one or more software agents during execution, determining, based on the parameter data, that the one or more skills represented by the one or more skill nodes have been demonstrated by the trainee, and updating the one or more skill nodes to graphically indicate that one or more represented skills have been demonstrated.

Abstract: A mechanism is described for facilitating smart monitoring of body dimensions according to one embodiment. A method of embodiments, as described herein, includes receiving a first request to take a first picture of a user, wherein the first picture is taken at a first point in time using a depth-sensing camera; automatically computing first body dimensions relating to a body of the user based on at least one of a first image of the body and first depth information relating to one or more parts of the body, wherein the first image and the first depth information are obtained from the first picture; generate a first three-dimensional (3D) model of the body based on the first body dimensions; and communicating at least one of the first 3D model and the first body dimensions to a display device, wherein the display device to display at least one of the first 3D model and the first body dimensions.

Abstract: Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment, friends used and the like. Workout information may be shared to social messaging and networking outlets. Workout information shared may include map information including images of maps, interactive maps, links to maps, route information and the like and/or combinations thereof. Additionally or alternatively, an application may be configured to execute within a context of a social networking system to facilitate athletic activity data transfer and generation of workout entries in the social networking site.

Abstract: An exemplary embodiment of the computerized system and method for increasing employee productivity provides a database for storing data, a data inputting device for inputting expected output parameters into the database and a data acquiring device for acquiring actual output data during performance of any workplace duties, preferably in real-time. The data acquiring device may be linked by an interface that transfers the acquired data to the database, where a processor may evaluate the inputted data versus the acquired data. The processor is connected to a data displaying device that may display the inputted, acquired and evaluated data, preferably in real-time.

Abstract: Embodiments are generally directed to a wearable electronic device providing injury response. A wearable electronic device may include an injury detection unit that includes one or more sensors, and a central computing unit to receive sensor data from the one or more sensors to detect one or more injuries or potential injuries based at least in part on the received sensor data. The wearable electronic device further includes an injury response unit to provide a response to the one or more injuries or potential injuries.

Abstract: Techniques are described for determining height, weight, or other characteristics of a user based on processed sensor data. The sensor data may include data collected by sensors on the user's computing device or other computing devices, or data collected by stationary, external sensors. Different types of sensor data may be processed to estimate at least one physical characteristic of the user, such as the user's height, weight, apparel size, age, and so forth. The estimated characteristics may be employed to perform actions based on the user's identity or category, to customize content delivery for the user, or for other purposes.

Abstract: Solutions for providing integrated task list functionality. Some such solutions use a user supersystem as a communications hub to generate, display, and/or handle user-based tasks for a family group. For example, tasks may be assigned to one or more members of the family and associated with various types of dates, rewards, audits, etc. Family members may then interact with the tasks through the communications hub and/or through other devices (e.g., cell phones, etc.).

Abstract: According to an aspect of an embodiment, a method of measuring physiological adaptability of a subject is described. The method may include receiving, from a first sensor, a first data signal indicating a first biological function of the subject. The method may also include receiving, from a second sensor, a second data signal indicating a second biological function of the subject. The method may also include calculating an adaptability of the subject based on the first data signal and the second data signal. The method may also include reporting the calculated adaptability.

Abstract: Computing system resources are controlled based on the behavioral attributes associated with users of the computing system. These behavioral attributes are monitored in real time and through a historical log, and behavioral attributes that fall outside pre-determined preferred behavioral parameters are detected. Access by the computing system user to computing system resources contained in a preferred and habitually accessed computing system resource set associated with the computing system user are adjusted in response to the detection of the behavioral attribute outside the pre-determined preferred behavioral parameters.

Abstract: The invention relates to an embroidered stick for attaching to and displaying on an article. The embroidered stick comprises a hole for attaching it to an article. The embroidered sticks can be obtained by users as rewards, incentives, to promote certain behaviors, activities, events, messages, logos, mascots, achievements, campaigns, brands, products and/or services, companies, organizations, themes or the like.

Abstract: Disclosed is a student performance monitoring system and method. In certain embodiments, a software program can be stored on a computer readable medium, executed by a computer and interacted with by a user, such as a teacher. The device, system and method include selecting students, scoring them and recording their effort in categories relevant to student learning. The student scores can also be used to generate reports and select students for recognition awards. In one example, a handheld computing device, such as a smart phone can be conveniently utilized. However, other computing devices may also be used instead of or in addition to those described herein. Other embodiments include a method and a system for monitoring student performance. The system and method can also be accessed by teachers, students and parents through an internet portal. The program can be configured as a web application.

Abstract: One or more social interactive goals for an automated entity such as an avatar may be determined during a social interaction between the automated entity and a selected entity such as a human. Identity attributes of identity images from an identity model of the automated entity may be used to determine a set of behavioral actions the automated entity is to take for the determined goals. Paralanguage elements expressed for the automated entity via a user interface may be altered based on the determined set of behavioral actions. The automated entity may refer to a computer implemented automaton that simulates a human in the user interface of an interactive computing environment. By way of example, an avatar cybernetic goal seeking behavior may be implemented in accordance with an identity theory model.

Abstract: The team-building educational training system includes a mat and a plurality of reflective surfaces, such as mirrors. The mat has a top surface, a bottom surface, and a plurality of openings defined therein. The top and bottom surfaces each have a plurality of uniquely identifiable indicia displayed thereon. The reflective surfaces are placed on the floor or ground under the mat. The team cooperatively lifts and manipulates the mat to align the openings with the reflective surfaces so that at least one team member can view reflections of the indicia on the reflective surfaces. The team cooperatively interprets the indicia and completes a variety of planned exercises to learn skills for working as a team.

Abstract: A method for developmental evaluation is provided. A user is presented with a menu of developmental activities. A user input selecting a developmental activity from the menu is received. A user performance of the selected developmental activity is recorded. Consequently, the user is awarded a point value to a user score in an activity topic and/or an activity dimension associated with the selected developmental activity. Subsequently, the user score in the activity topic and/or the activity dimension is compared with user scores in other activity topics and/or activity dimensions to determine whether the user scores are balanced. An output is used to influence the user to perform one or more developmental activities from activity topics and/or activity dimensions that contribute to balancing user scores across all activity topics and activity dimensions.

Abstract: A system for behavior modification and sales promotion includes a child computer device having a computer application stored thereon in a non-transitory computer readable memory. The computer application of the child computer device includes a graphical user interface allowing for a child to interact with a fictitious character. A parent computer device is provided having a computer application stored thereon in a non-transitory computer readable memory, the computer application of the parent computer device including a graphical user interface allowing a parent to control the fictitious character with which the child interacts on the child computer device. The system also includes a system server. The parent computer device, the child computer device and system server are connected by a global communication network.

Abstract: A system configured to provide feedback to a user in order to motivate said user to reach one or more energy expenditure goals. The one or more energy expenditure goals may be associated with one or more of time periods, or activity sessions, and the feedback may be provided to a user using one or more of a visual display on a sensor device worn by a user, and/or using audible and haptic feedback.

Abstract: There is disclosed a method for analyzing the behavior of a subject comprising the steps of: making one or more measurements or observations of the subject; coding the measurements or observations into a plurality of channels; and analyzing the channels using artificial intelligence, in order to output information relating to the psychology of the subject.