Abstract: A system for proctoring online exams includes a client-side computing system and a visual analytics system. The client-side computing system includes a camera configured to obtain video data corresponding to a user while taking an exam and one or more input devices configured to obtain interaction data, wherein the interaction data includes mouse movements of the user while taking the exam. The visual analytics system is configured to obtain the video data and the interaction data from the client-side computing system, analyze the exam data to detect abnormal behavior by the user based at least in part on mouse movement data, and generate one or more visualizations of the analyzed exam data to be used in determining whether or not the user has cheated during the exam.

Abstract: Embodiments of a system and method are described for generating a finance attribute. In one embodiment, the systems and methods retrieve raw tradeline data from a plurality of credit bureaus, retrieve industry code data related to each of the plurality of credit bureaus, determine one or more tradeline leveling characteristics that meet at least one pre-determined threshold, and generate a finance attribute using the selected leveling characteristics.

Abstract: Various systems and methods for engagement dissemination. A face detector detects a face in video data. A context filterer determines a student is on-platform and a section type. An appearance monitor selects an emotional and a behavioral classifiers. Emotional and behavioral components are classified based on the detected face. A context-performance monitor selects an emotional and a behavioral classifiers specific to the section type, Emotional and behavioral components are classified based on the log data. A fuser combines the emotional components into an emotional state of the student based on confidence values of the emotional components. The fuser combines the behavioral components a behavioral state of the student based on confidence values of the behavioral components. The user determine an engagement level of the student based on the emotional state and the behavioral state of the student.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting actions from large discrete action sets. One of the methods includes receiving a particular observation representing a particular state of an environment; and selecting an action from a discrete set of actions to be performed by an agent interacting with the environment, comprising: processing the particular observation using an actor policy network to generate an ideal point; determining, from the points that represent actions in the set, the k nearest points to the ideal point; for each nearest point of the k nearest points: processing the nearest point and the particular observation using a Q network to generate a respective Q value for the action represented by the nearest point; and selecting the action to be performed by the agent from the k actions represented by the k nearest points based on the Q values.

Abstract: A method for execution by a computing entity for creating a learning tool regarding a topic includes obtaining a first assessment response for a first set of knowledge assessment assets of a first learning object of learning objects. The method further includes selecting one of the first learning object, a second learning object, and a third learning object as an active learning object based on the first assessment response.

Abstract: A method and system for incentivized neural network training and assurance processes provides incentives to object miners to identify objects in video streams for the purposes of enhancing the training of computer-implemented neural networks on the identified objects and/or augmenting the results of automatic object identification by trained neural networks. An object mining user interface and process is provided to object miners that provides incentives for identifying objects in video streams and technical capabilities for designating identified objects within multiple multi-dimensional regions of pixels. Incentives may be token-based and in accordance with end user interactions within a visual user interface with representations of the miner-identified objects within a video stream.

Abstract: A contextual-based method and system for identifying and revealing objects from video directs a focus of attention to images or sequences of images responsive to a command, interrogative, or inferred preference of a user. A probability is assigned to an object that is inferred to be represented in the images or sequence of images. The probability is generated by application of a computer-implemented neural network. The probability is then updated based upon a context within which the representation of the object is inferred to be situated. The context may be inferred from one or more inferences related to one or more archetypical objects that are associated with the context. In accordance with the updated probability, a communication may be delivered that references attributes of the object and/or the user may direct a command to the representation of the object.

Abstract: Systems and methods are disclosed for tuning a generative artificial intelligence (AI) model based on a knowledge base. Instead of manually generating questions relevant to the knowledge base, providing those questions to the generative AI model, and manually reviewing the answers generated by the generative AI model in order to tune the generative AI model over many iterations, a natural language processing model may be configured to leverage the knowledge base to automatically generate questions and answers based on the knowledge base. In this manner, the natural language processing model is able to generate tuning data that may be used to automatically tune the generative AI model. The systems and methods also disclose automatic tuning of the generative AI model, including testing and feedback that may be used to improve tuning of the generative AI model.

Abstract: An electronic device and method are disclosed. The electronic device includes a display, a communication module configured to perform wireless connection with a stylus pen, a processor operably coupled to the display and the communication module, and a memory storing programming instructions. The processor implements the method, including: receiving, via the communication module, a gesture input from the stylus pen while the stylus pen is spaced apart from the display, determining that a gesture identification error has occurs based on the received the gesture input, and controlling the display to display a visual guide related to the gesture identification error.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing personalized avatars for virtual companionship are disclosed. One of the methods includes capturing one or more current online activities of a user of an online education platform providing learning services to the user; receiving sensor data from one or more electronic devices of the user; detecting an event by analyzing a combination of the one or more captured online activities of the user and the received sensor data; determining one or more avatars and one or more special effects associated with the one or more avatars based on the detected event and one or more pre-determined rules mapping avatars and special effects to events; generating multimedia content comprising the one or more avatars and the one or more special effects; and streaming the generated multimedia content to a multimedia display device of the user.

Abstract: Systems and methods for improved management of artifact information of at least one first artifact document comprising a plurality of first fragments of artifact information and of at least one second artifact document comprising a plurality of second fragments of artifact information, especially comprising comparing and merging artifact information.

Abstract: An experience rating and skill discovery system (ERSDS) and a method for determining credibility of experience ratings provided by one or more reviewers and discovering skills of opportunity seekers based on a relationship between the reviewers and the opportunity seekers are provided. A skill profile module of the ERSDS reads profile data from a user profile list and generates a skills profile list. An invitation module transmits invitations to reviewer devices for providing the experience ratings.

Abstract: A dynamic reasoning system may include a symbolic reasoning engine that iteratively calls a dynamic rule generator to answer an input query. The symbolic reasoning engine may determine a primary goal and/or secondary goals to generate proofs for the answer. The symbolic reasoning engine may call a rules component to provide rules to prove a current input goal. The rules component may use a static rule knowledge base and/or the dynamic rule generator to retrieve and rank rules relevant to the current input goal. The dynamic rule generator may generate new rules that lead to the current input goal. The dynamic rule generator may include a statistical model that generates unstructured or structured probabilistic rules based on context related to the input query. The symbolic reasoning engine may return a list of rules with confidence for explaining the answer to the input goal.

Abstract: A Barcode System with Re-publishable Content or Tasks consists of a data server with User Data Management module and 2D Barcodes Management module, mobile communication devices with 2D barcode scanners, user ID recognition module and task reader, and 2D barcodes whose destination URLs are quizzes or games based on the users' skill levels. The Barcode gives certain users permission to select from the tasks received by scanning the barcode and republish them to other users' ebooks. There are also some settings in the barcode to control skill subscription, and valid dates etc. Once the user scanned the 2D barcodes, and finished the tasks, the results will be uploaded to the data server to re-evaluate the user's skill level and assign the next sets of tasks.

Abstract: The complexity of implementing machine learning models in software systems can be reduced using an abstraction system. The abstraction system functions as an intermediary between a machine learning service and a client process. The abstraction system provides a unified API by which the client process can submit client requests targeting a machine learning model and also abstracts the complexity of configuring model requests in the appropriate form for a particular machine learning service and model. The abstraction system also provides a standard mechanism for delivering results to the client process in an actionable format and for tracking outcomes of any actions that the results trigger. The abstraction system therefore greatly simplifies the process of employing machine learning models within a software system.

Abstract: Speech analysis is performed by receiving estimated glyphs corresponding to an estimate made by speech-to-text software of what has been spoken out loud by a user; comparing the estimated glyphs with reference glyphs representing a text from which the user has attempted to read; and providing feedback relating to the user's speech based on the comparison of the estimated glyphs with the reference glyphs.

Abstract: Method, apparatus and computer program for providing a personalized study plan to a learner through cognitive and behavioral diagnosis of the learner. A learner who uses a data input device such as a smart pen and a stylus pen by using data obtained from the data input device. The method, apparatus and computer program relate to technology for obtaining input data based on information inputted by a user for at least one question with the data input device, creating test behavior data on the user from the obtained input data, analyzing cognition and behavior of the user based on at least one of metadata on the at least one question and the created test behavior data, and providing a personalized study plan to the user through an algorithm using machine learning based on the cognition and behavior analysis.

Abstract: Disclosed is a platform that manages worker users in a temporary staffing environment via an artificial machine learning model. The temporary staffing platform matches available workers to available shifts/gigs. Additional features include generating provisional or near-miss matches and informing workers how to turn those near-misses into full matches, plotting a gig-career path to develop additional skills, gamify development, and automatically generate resumes. The platform generates a set of skill tags associated with each shift/gig performed by the user. Designing of resume text files by the artificial machine learning model includes procedurally generated descriptions of experience the a user has based on the recording of each shift/gig performed by the user and the skill tags associated with each recorded shift/gig, wherein a format of the resume text file is formulated by the artificial machine learning model evaluating a mix of skill tags and employers amassed by the user.

Abstract: An image processing apparatus capable of improving operability of a question preparer. The image processing apparatus including a memory device that stores instructions, and a processor that executes the instructions to: generate a question sheet image by controlling a reading unit to read a question sheet in which question sentences and question numbers are written, generate an answer sheet image by controlling the reading unit to read an answer sheet that includes answer fields, question numbers corresponding to the answer fields, and marks showing marking results, detect an answer field including a wrong answer mark from the answer sheet image, obtain a question number corresponding to the detected answer field from the answer sheet image, obtain a question sentence corresponding to the obtained question number from the question sheet image, and generate a review image including the obtained question sentence and a new answer field.

Abstract: Disclosed are systems and methods that efficiently and reliably allows school district(s) and municipalities as well as third parties provide incentives to students' accounts, and those incentive awards can be converted to funds for additional education expenses. In one aspect, the method includes reconciling a plurality of transactions transferring funds to a student account from a municipal account upon a corresponding student accomplishing at least one of a plurality of goals. The goals are each based upon completion of an action stored in a municipal database. The method includes, upon reconciling the transactions, determining that a remaining amount in the municipal account is less than a predetermined threshold and automatically generating and transmitting an alert message to a dashboard user interface of the municipal account for display on a municipal workstation comprising an indicator that the remaining amount in the municipal account is less than the predetermined threshold.

Abstract: Provided are systems and methods of a chatbot that can response on behalf of a first user during a three-way chat communication including multiple users and the chatbot. In one example, the method may include receiving a chat message transmitted from a first user device to a second user device, determining, via a machine learning model, an intent of the received chat message, detecting a suggested response based on the determined intent and external data, determining a confidence value for the suggested response based on a source of the suggested response, and outputting the suggested response when the confidence value is above a predetermined threshold via a chatbot of the chat application that is displayed within a user interface of the chat application on the second user device.

Abstract: The multi-agent simulation system includes a plurality of agent simulators provided for each of the plurality of agents and a center controller. The plurality of agent simulators are programmed to simulate a state of each of the plurality of agents while causing the plurality of agents to interact with each other by exchanging messages. The center controller is programmed to control a speed ratio of a flow of time in the target world to a flow of time in a real world. Each of the plurality of agent simulators calculates an index value corresponding to a remainder time rate. The remainder time rate is a rate of a remainder time to an update time interval for updating a state of a target agent to be simulated. The center controller controls the speed ratio based on the index value calculated by each of the plurality of agent simulators.

Abstract: A method for execution by a computing entity for creating a learning tool regarding a topic includes issuing a representation of a first set of physicality assessment assets of a first learning object to a second computing entity. The method further includes obtaining a first assessment response in response to the representation of the first set of physicality assessment assets. The method further includes selecting one of the first learning object, a second learning object, and a third learning object as an active learning object based on the first assessment response.

Abstract: A computer-implemented method comprising: outputting questions to a user via one or more user devices, and receiving back responses to some of the questions from the user via one or more user devices; over time, controlling the outputting of the questions so as to output the questions under circumstances of different values for each of one or more items of metadata, wherein the one or more items of metadata comprise one or more physical conditions of the user; monitoring whether or not the user responds when the question is output with the different metadata values; training the machine learning algorithm to learn a value of each of the items of metadata which optimizes a reward function, and based thereon selecting a circumstance when the user is exhibiting a particular physical condition to output subsequent questions.

Abstract: A computing system retrieves ball-by-ball data for a plurality of sporting events. The computing system generates a trained neural network based on ball-by-ball data supplemented with ball-by-ball data with ball-by-ball match context features and personalized embeddings based on a batsman and a bowler for each delivery. The computing system receives a target batsman and a target bowler for a pitch to be delivered in a target event. The computing system identifies target ball-by-ball data for a window of pitches preceding the to be delivered pitch. The computing system retrieves historical ball-by-ball data for each of the target batsman and the target bowler. The computing system generates personalized embeddings for both the target batsman and the target bowler based on the historical ball-by-ball data. The computing system predicts a shot type for the pitch to be delivered based on the target ball-by-ball data and the personalized embeddings.

Abstract: A computer-implemented method, computer program product and computing system for: defining a training routine for a specific attack of a computing platform; and generating a simulation of the specific attack by executing the training routine within a controlled test environment.

Abstract: A neurological profile associated with introversion/extroversion levels, simultaneous visual element processing capability, and/or dynamism processing capability, etc., is determined to select market categories and stimulus material targeted to the particular neurological profile. The neurological profile is determined using information such as user input, user activity, social and environmental factors, genetic and developmental factors, and/or neuro-response data. The neurological profile can be matched with corresponding neurological profile templates to select market categories and stimulus material.

Abstract: In certain implementations, creation of an educational test may be facilitated based on prior performance with individual test questions. A user input indicating a subject matter for a test, one or more question categories related to the subject matter, and a questionee group for which the test is intended may be received. A plurality of questions may be obtained based on the user input. For each question of the plurality of questions, a question performance metric value associated with the question (that is calculated based on prior performance of one or more questionees with the question) may be obtained. A test performance metric value associated with the test may be calculated based on the question performance metric values associated with at least some questions of the plurality of questions. The at least some questions and the test performance metric value may be provided for presentation on a user interface.

Abstract: A method for academic engagement includes parsing answers from questions in a question group from completed questionnaires. Answers are discrete numbers. The method includes determining a transformed scale score as: {acute over (x)}=x?1, determining a POMP score as: p = x ? n and mapping a rescaled probability as: {acute over (p)}=?p+0.5(1??). ? is a scaling constant between 0.5 and 1. The method includes determining a modified logit as: t = ln ? ( p ? 1 - p ? ) , determining a mean for the modified logit values and determining a mean rescaled probability for each determined mean as: p ^ ? = e t ? 1 + e t ? . The method includes determining an estimated standard probability as: p ^ = p ^ ? + 0.

Abstract: Children are spending an enormous amount of time on computer screens without receiving any educational benefit for doing so. The present invention advantageously Automatically Converts children's entertainment screen time into learning screen time. This is referred to as Auto-Conversion of Entertainment Screen Time into Learning Time. A novel Continuous Engagement Method During Learning keeps the learner engaged in academic functioning (where engagement would otherwise be continuously declining). The present invention solves a critical problem for special learners (e.g., those with ADHD, autism, dyslexia, or memory impairment) who have a high affinity for screen time and cannot access traditional reading instruction. An Artificial Intelligence (AI) architecture is used to customize the type of instruction the learner receives based upon academic progress and to customize delivery of the instruction itself by closely monitoring the learner's emotional mood state and sustained attention.

Abstract: Techniques for an interactive turn-based reading experience are described. A system may take turns reading content, such as a book, with a user. The system may process audio data representing a user reading a portion of the content, determine reading evaluation data, and determine how to proceed for the next turn based on the reading evaluation data. For example, based on the reading evaluation data, the system may read a portion of the content by outputting synthesized speech representing the content, may ask the user re-read a portion of the content, or may ask the user to read a different, smaller portion of the content.

Abstract: Systems, methods, and non-transitory computer-readable media for displaying a widget includes acquiring display content and timing duration of the widget based on a task achieved by a current page, displaying the widget with the display content on the current page and recording time information, and updating the widget for displaying that the task is in a completed state in response to the displaying duration reaching to the timing duration. The time information is used for indicating displaying duration of the widget.

Abstract: A system, method, and computer-readable medium are disclosed for performing an entity behavior cataloging operation. The entity behavior cataloging operation includes: identifying a security related activity, the security related activity being based upon an observable from an electronic data source; analyzing the security related activity, the analyzing identifying an event of analytic utility associated with the security related activity; generating entity behavior catalog data based upon the event of analytic utility associated with the security related activity; and, storing the entity behavior catalog data within an entity behavior catalog, the entity behavior catalog providing an inventory of entity behaviors for use when performing a security operation.

Abstract: In an example, the present invention provides a meta data processing apparatus for processing sensor inputs and providing feedback to a user for an on-line course. The invention provides for storing the information on a public block chain using a plurality of servers.

Abstract: Systems, methods, and non-transitory computer-readable media for displaying a widget includes acquiring display content and timing duration of the widget based on a task achieved by a current page, displaying the widget with the display content on the current page and recording time information, and updating the widget for displaying that the task is in a completed state in response to the displaying duration reaching to the timing duration. The time information is used for indicating displaying duration of the widget.

Abstract: A system and process for dynamic security monitoring of test taking. The system combines historical information about the test taker or relevant conditions, and includes sensors which objectively monitor test taker's actions, inactions, and involuntary response to the test given before and during the test, and at a specific test location. The information collected from the sensors is compared to a plurality of predetermined individual risk factors, which indicate a possibility of test fraud by the individual test taker to create a test event risk profile. The individual risk profile is combined with non-individual specific risk factors to create a holistic test event security profile. Security resources are then dynamically assigned to or removed from the test event based on the unique test event security profile.

Abstract: An automated method of assembling computerized adaptive test (CAT) pools of test items is provided. A plurality of item bins is created. Each item bin is associated with a different content domain, and each item bin includes only items associated with its respective content domain. The items in each item bin are grouped into a plurality of individual cells, wherein each item is placed in only one of the individual cells, and each cell includes a plurality of items which span a range of difficulty levels. The grouping is performed by linear programming at the individual cell level. One or more pools of items are assembled from a random selection of cells across the item bins, wherein there is only one cell for each item bin. The CAT is administered by randomly assigning each test taker to one of the pools of items.

Abstract: In some embodiments, a method includes receiving an input including an educational objective for a user having an associated user device. The method includes sending a signal to receive Global Positioning System (GPS) transit data associated with a transit from a first location and a second location. The method further includes determining, based on a set of parameters and the GPS transit data, an effective transit time and selecting a set of educational content files that meet the educational objective. The method includes selecting, based on the effective transit time, a subset of the set of parameters and at least one characteristic associated with each educational content file, a subset of educational content files. The method further includes determining an order for the subset of educational content files to provide the subset of educational content files to the user device within the effective transit time to meet the educational objective.

Abstract: A closed-loop service, referred to as an Adaptive Data Analytics Service (ADAS), characterizes the performance of a system or systems by providing information describing how users or agents are operating the system, how the system components interact, and how these respond to external influences and factors. The ADAS then builds models and/or defines relationships that can be used to optimize performance and/or to predict the results of changes made to the system(s). Subsequently, this learning provides the basis for administering, maintaining, and/or adjusting the system(s) under study. Measurement can be ongoing, even after the operating parameters or controls of a system under the administration or monitoring of the ADAS have been adjusted, so that the impact of such adjustments can be determined.

Abstract: An approach is provided in which the approach converts a set of learning content into a teaching content vector representation. The approach determines a learning preference mode of a user based on a set of user responses responding to a set of learning type segments, and computes an environmental context vector representation of a physical environment surrounding the user. The approach conducts a conversation with the user based on the learning preference mode, the environmental context vector representation, and the teaching content vector representation.

Abstract: A system with access to regularly updated information regarding an entity can generate information regarding the performance of that entity. For example, values of various key performance indicators (KPIs) can be determined. One or more of the values can be compared to a corresponding threshold or range. Based on the results of the comparisons, an alert can be generated and sent to a user associated with the entity, a user interface (UI) that presents information to the user about the entity can include information regarding the KPIs, or both. The system may have access to data regarding a number of similar entities. Using the data for the similar entities, one or more benchmarks for the KPIs of the entity can be determined. The KPIs can be compared to the benchmarks and the results shown in a UI, an alert, or both.

Abstract: Provided are a device, a method, and a computer program for self-diagnosis and treatment of benign paroxysmal positional vertigo, which is for, when a patient with benign paroxysmal positional vertigo develops or appeals symptoms, immediately, easily and accurately diagnosing the symptoms by patients themselves using a sequential and efficient self-diagnosis algorithm associated with an optimized self-diagnosis questionnaire data without temporal or spatial constraints, and presenting an optimal treatment method, so as to allow the patients to receive appropriate on-site treatments. The present disclosure is effective in not only immediate treatment of benign paroxysmal positional vertigo, but also reducing medical expenses and additional social costs incurred for treatments of dizziness.

Abstract: A computer program product, for automatically editing a medical record transcription, resides on a computer-readable medium and includes computer-readable instructions for causing a computer to obtain a first medical transcription of a dictation, the dictation being from medical personnel and concerning a patient, analyze the first medical transcription for presence of a first trigger phrase associated with a first standard text block, determine that the first trigger phrase is present in the first medical transcription if an actual phrase in the first medical transcription corresponds with the first trigger phrase, and insert the first standard text block into the first medical transcription.

Abstract: A computer-implemented visual interface for identifying and revealing objects from video-based media provides visual cues to enable users to interact with video-based media. Objects in videos are inferred and identified based upon automatic interpretations of the video and/or audio that is associated with the video. The automatic interpretations may be performed by a computer-implemented neural network. The computer-implemented visual interface is integrated with the video to enable users to interact with the identified objects. User interactions with the visual interface may be through either touch or non-touch means. Information is delivered to users that is based upon the identified objects, including in augmented or virtual reality-based form, responsive to user interactions with the computer-implemented visual interface.

Abstract: Methods, systems, and computer-readable media for role-based failure response training for distributed systems are disclosed. A failure response training system determines a failure mode associated with an architecture for a distributed system comprising a plurality of components. The training system generates a scenario based at least in part on the failure mode. The scenario comprises an initial state of the distributed system which is associated with one or more metrics indicative of a failure. The training system provides, to a plurality of users, data describing the initial state. The training system solicits user input representing modification of a configuration of the components. The training system determines a modified state of the distributed system based at least in part on the input. The performance of the distributed system in the modified state is indicated by one or more modified metrics differing from the one or more initial metrics.

Abstract: Method, apparatus and computer program for providing a personalized study plan to a learner through cognitive and behavioral diagnosis of the learner. A learner who uses a data input device such as a smart pen and a stylus pen by using data obtained from the data input device. The method, apparatus and computer program relate to technology for obtaining input data based on information inputted by a user for at least one question with the data input device, creating test behavior data on the user from the obtained input data, analyzing cognition and behavior of the user based on at least one of metadata on the at least one question and the created test behavior data, and providing a personalized study plan to the user through an algorithm using machine learning based on the cognition and behavior analysis.

Abstract: In an aspect a system for assessing entity expertise is presented. A system includes at least one entity. A system includes an entity intercommunication device. A system includes an entity conveyance system. An entity conveyance system includes a plurality of assessment devices. Each assessment device of a plurality of assessment devices is configured to receive an entity input and communicate the entity input to an entity intercommunication device. An entity conveyance system is configured to validate an entity input as a function of an exterior a data set and score the entity input as a function of the validation of the entity input.

Abstract: In one embodiment, a method includes receiving a request to determine whether to perform an action, wherein the action is based on one or more feature values, generating a prediction of whether to perform the action, wherein the prediction is generated using a machine-learning model that is trained based on the feature values, a heuristic value based on the feature values, and one or more feedback scores based on corresponding past predictions generated by the machine-learning model, where the heuristic value indicates whether to perform the action based on one or more predetermined conditions that are based on the feature values, performing the action when the prediction indicates that the action is to be performed, receiving a feedback score that indicates a level of effectiveness of the prediction, and updating the machine-learning model based on the feedback score, the feature values, and the heuristic value.

Abstract: Systems and methods for conducting automated skills mastery assessments in an e-learning environment may include assessing learner engagements with learning resources to produce mastery assessments, using historic interaction data derived through the engagements to train machine learning algorithm(s) to forecast evaluation outcomes of engagements based on engagement patterns indicative of skill fading, imparting learning, initial level of mastery, and/or a difficulty of acquiring mastery, applying the learning algorithm(s) to historic user interactions with learning resources to produce predicted evaluation outcomes, and, based on any differences between predicted outcomes and actual outcomes, refining parameter(s) of a mastery assessment parameter set used in calculating the mastery assessments, where a portion of the parameters correspond to attribute(s) of connections between the learning resources and skills of a skill hierarchy.

Abstract: An operation judgment method for an interactive touch system, which is applied by a first electronic device in cooperation with a second electronic device. The first electronic device receives a projected image from the second electronic device. The projected image is displayed on a display surface of the first electronic device. The operation judgment method includes steps S1 to S3. Step S1 generates a plurality of touch feature information corresponding to a plurality of touchpoints according to a touch action. Each touch feature information includes a plurality of eigenvalues, and the touch feature information is stored in a touch register module, wherein the first touch feature information of each touch action is the initial touchpoint. Step S2 sequentially analyzes the touch feature information to generate a first command or a second command. Step performs a corresponding operation according to the first command or the second command.