40 results about "Tele education" patented technology

The invention relates to a remote education data processing system which comprises the following steps: under a remote teaching task, pre-defining a task intention and a data expectation point; a semantic timestamp and a task binding label are printed on each data fragment; mapping the collected confusion data including silence, eye movement drift and prediction into a unified learning semantic vector; a micro-expression + interactive behavior + time sequence decision path ternary modeling mode is introduced, and a potential cognitive intention corresponding to the feature combination is recognized; teaching context information is fused; constructing a cognitive state mapping model; reasoning a current cognitive state label from multi-modal sensing data; searching intervention track VS effect feedback data in a historical database; generating a predicted intervention behavior sequence by using a sequence modeling algorithm; a dynamic combination suggestion chain including light prompt, content reconstruction, personalized practice and tutoring invitation is adopted; and superposing the cognitive state sequences of all students into a group cognitive trajectory map.

The invention relates to the technical field of artificial intelligence, and discloses a digital human intelligent interaction and posture expression synthesis method based on multi-modal synchronization, which comprises the following steps: acquiring voice, expression and posture data through a multi-modal acquisition device, and generating a multi-modal feature sequence after noise filtering and standardization processing; a self-attention mechanism and a time sequence Transform are adopted to carry out time alignment and semantic fusion on the features, and multi-modal synchronization features are generated; generating parameters by utilizing an emotion-driven generative model and generative adversarial network optimization, generating a natural expression and posture sequence, and realizing real-time rendering and output through edge computing equipment; and continuously optimizing the multi-modal model and generating parameters based on user interaction data. The method improves the real-time performance of interaction and the authenticity of emotion expression, has high expansibility and adaptive optimization capability, and can be widely applied to the fields of virtual assistants, immersive experience, distance education and the like.

One example method includes performing sound quality operations. Microphone arrays are used to cancel background noise and to enhance speech. With arrays at each environment of each user participating in a call, a first microphone array can cancel or suppress background noise and a second array can generate enhanced speech for transmission to other users. Thus, for user, the audio signal output by the user's device includes an anti-noise signal to cancel background noise present in the user's environment and enhanced speech from other users.

The invention relates to the technical field of remote education, and discloses a monitoring device and method for network remote education, and the method comprises the steps: collecting micro-motion data, and generating an original data sequence for concentration analysis; micro-action feature vectors are extracted, and time sequence feature vectors are generated; constructing a personalized concentration scoring model, and generating a concentration score and a personalized threshold value based on the time sequence feature vector and the time decay function; behavior drift detection and model adaptation: monitoring a change trend of a learner behavior mode along with time based on a time sequence feature vector, executing behavior drift detection, and updating concentration scoring model parameters according to the behavior drift detection; generating a concentration state evaluation report, performing multi-level classification on the concentration state of the learner, and generating a real-time evaluation report; according to the method, personalized concentration evaluation is realized, and customized concentration monitoring strategies are provided for different learners by constructing an individual historical behavior mode database and a personalized threshold adjustment mechanism.

The invention relates to the technical field of distance education, and discloses a multi-modal interaction-driven distance education immersive scene construction method and system, and the method comprises the steps: configuring a scene resource scheduler of a virtual classroom according to the real-time interaction intention of an education participant; extracting a scene resource scheduling list and a dynamic content parameter set in the scene resource scheduler to construct a dynamic scene map of the virtual classroom in combination with the real-time interaction intention; establishing a real-time rendering task queue by using an immersive narrative flow generated by the dynamic scene map and an interactive response rule set, and rendering an immersive teaching plot of a virtual classroom; and based on the dynamic scene map, generating a distance education immersive scene corresponding to the education participant by rendering the task queue and the immersive teaching plot in real time. According to the invention, sudden demands in the teaching process can be flexibly responded, and the situation adaptability of a remote education scene is improved.

The invention relates to an action recognition system for online education, and the system comprises a real-time snapshot device which is disposed at a client of remote education and is used for carrying out the real-time snapshot processing of an environment where a remote education user is located, so as to obtain and output a corresponding snapshot processing image; and the contact notification mechanism is used for executing on-site broadcasting of notification information corresponding to small action recognition when the contact between the head and the hand is intelligently recognized based on various image processing data by adopting the multiple trained Hough neural network. According to the invention, the Hough neural network after multiple times of training can be introduced to intelligently identify whether the head and the hand are in contact based on various image processing data, and when the head and the hand are intelligently identified to be in contact, on-site broadcasting of notification information corresponding to small action identification is executed. Therefore, intelligent detection and warning of illegal small actions of remote education customers are realized.

The invention relates to the technical field of educational training, in particular to a remote educational training device which comprises a main speaking end, a central network element, a data end and a distribution end, the distribution end is connected with a plurality of student ends, the data end comprises a data receiving end and a data sending end, and the data sending end of the data end is connected with a gateway machine to obtain system data. The main speaking end comprises an image and video acquisition device, a main speaking host and a main speaking displayer, and through the arrangement of the main speaking end, the central network element, the data end and the distribution end, the safety of transmission data is monitored in real time, meanwhile, a teacher and students can conveniently log in, and then remote education and learning can be conveniently carried out.

The utility model relates to the technical field of educational training appliances, and discloses a distance education device for educational training, which comprises a bottom plate, a loading plate and an angle adjusting assembly, the loading plate is rotatably mounted on one side of the top of the bottom plate, the angle adjusting assembly is fixed on the top of the bottom plate, and the angle of the loading plate is adjusted through the angle adjusting assembly; the angle adjusting assembly comprises a translation strip translating at the top of the bottom plate, second U-shaped frames are installed at the two ends of the top of the translation strip correspondingly, first U-shaped frames are installed at the two ends of one side of the bottom of the carrying plate correspondingly, and an adjusting plate is rotationally installed between the second U-shaped frame and the first U-shaped frame on the same side. According to the remote education device for educational training, the threaded rod is driven to rotate, so that the object carrying plate can be adjusted clockwise and anticlockwise, the placement angle of a flat plate lapped on the object carrying plate is adjusted, the angle of the object carrying plate is convenient and rapid to adjust, the comfort degree of using the flat plate is also improved, stepless adjustment can be achieved on the object carrying plate, and the practicability is high. And adjustment of a fixed angle is avoided.

The application belongs to the technical field of internet distance education, and discloses a remote virtual experiment system and method combined with the internet of things, which comprises a near-end virtual reality module, a cloud-end management and analysis module and a remote internet of things experiment module; the near-end virtual reality module is used for restoring the modeling remote laboratory scene, experiment action and experiment visual data, and executing element control instructions through a control handle; the cloud-end management and analysis module is used for realizing the centralized management of the internet of things equipment, data collection, analysis and judgment of the control instructions issued to students, recording of student experiment information and judgment of experiment results; and the remote internet of things experiment module is used for realizing sensor data uploading and control instruction issuing, and controlling and identifying the action of the laboratory executing element. The application has strong experiment safety, and all instruction operations are completed through network communication, so that the action of other laboratory equipment is reduced, the safety and reliability of student experiments are ensured, and dangerous experiments are avoided.

The invention discloses a remote education monitoring method and system based on an adaptive optimization algorithm. The method comprises the following steps: acquiring parameter information of students, making a teaching plan, setting a teaching course, generating a teaching video, establishing a login account based on identity information of the students, and displaying the teaching video. Acquiring learning state information of the student in real time based on a visual detection technology, analyzing the concentration degree of the student based on the learning state information, and judging whether the concentration degree is greater than or equal to a set concentration degree threshold value; if the concentration degree is greater than or equal to the set concentration degree threshold value, continuing to play the teaching video, and scoring the student condition of the student; if the concentration degree is smaller than the set concentration degree threshold value, reminding information is generated, and popup reminding or sound alarming is carried out based on the reminding information; the body movement and facial expression of the student are monitored in real time through the visual detection technology, so that the learning state of the student is accurately analyzed, early warning is performed on the non-focused student according to the learning state of the student, and the effect of remote education is improved.

The application relates to the technical field of education and training equipment, and discloses an education and training device with a remote education function, which comprises a mounting frame, a wall is arranged behind the mounting frame, the mounting frame is fixedly installed on the wall, and moving holes are formed in the left and right side walls of the mounting frame. Through the cooperative design of "double blackboard alternating use + automatic linkage wiping", the pain point that the traditional blackboard needs to be manually interrupted for wiping after being written full is effectively solved; when the front blackboard is written full of traces, a teaching staff only needs to manually push the blackboard, and the blackboard can be stably moved by means of a "gear-rack meshing + slide column-back-shaped groove guiding" structure; and the "dry wiping-wet wiping-dry wiping" integrated cleaning is synchronously completed in the moving process; under the condition of proficiency, the whole operation does not need to interrupt the teaching explanation, the teaching rhythm caused by wiping the blackboard in the remote education recording is avoided, and the continuity of teaching content output and the physical health of the teaching staff are ensured.

The present invention relates to an intelligent monitoring system for remote education, comprising: a state identification device for obtaining each curvature value on the edge curve of a reference pattern of a book, visually judging whether a part of the surface area of ​​the book is occupied by a graffiti pattern or not; a wireless communication interface for wirelessly sending a manual monitoring request to a monitoring management server of a remote education client when judging that a part of the surface area of ​​the book is occupied by a graffiti pattern. Through the present invention, a targeted visual judgment mechanism can be used to realize intelligent judgment of whether the educated person has illegal graffiti and uneducated behavior during the remote education process, and when intelligently judging that a part of the surface area of ​​the book is occupied by a graffiti pattern, a manual monitoring request is wirelessly sent to the monitoring management server of the remote education client to trigger a secondary confirmation of the existence of illegal graffiti behavior by the educated person during the remote education process.

The invention relates to the technical field of remote education, and discloses a remote region remote education heterogeneous network vertical switching method, system and device and a medium. The method comprises the following steps: acquiring a current teaching service type and a network type of a user terminal; according to a membership function of the fuzzy logic system, through the current teaching service type and a plurality of different network performance indexes of the current teaching service type under each network type, determining the membership of each network performance index of the current teaching service type under each network type; performing weighted summation on the membership degree of each network performance index under each network type to obtain a service quality score of the current teaching service type under each network type; based on a Q learning algorithm, according to the service quality score of the current teaching service type under each network type, a switching strategy of the current network type is determined, and a reward function of the switching strategy is constructed according to the change of the service quality score after the action is executed and the cost of executing the action.

The invention discloses a portable distance education device and system, and the device comprises a supporting assembly, the upper part of the outer surface of the supporting assembly is sleeved with a connecting assembly, the upper part of the outer surface of the supporting assembly is fixedly sleeved with a fixing ring, the fixing ring is in contact with the connecting assembly, and the outer surfaces of the supporting assembly and the connecting assembly are fixedly connected with wear-resistant layers. A pull ring is fixedly connected to the middle of the front end of the connecting assembly, connecting screws are connected to the middle of the left end and the middle of the right end of the connecting assembly in a penetrating mode, an education equipment body is fixedly connected to the inner frame wall of the supporting assembly, the connecting assembly comprises a connecting cover, and the lower portion of the outer surface of the connecting cover is fixedly sleeved with a connecting frame; inserting rods are fixedly connected to the four corners of the lower end of the connecting cover, a rubber layer is fixedly connected to the upper frame wall in the connecting cover, and the connecting cover is fixedly connected with a wear-resistant layer. According to the portable remote education equipment and system, the remote education equipment can be conveniently carried, supported and used.

This invention discloses a cloud-based remote education collaboration method, system, and cloud platform, relating to the field of cloud computing technology. The method includes: receiving operation log records uploaded by multiple user terminals for the same structured data object; dividing the operation log records into multiple time zone editing batches and determining the context dependency features of each time zone editing batch; inputting the operation log records in each time zone editing batch into an editing feature embedding model, and outputting an aggregated editing feature vector corresponding to each time zone editing batch; constructing a multi-dimensional version graph based on the aggregated editing feature vectors and context dependency features of any two time zone editing batches; calculating the optimal merging path on the multi-dimensional version graph; merging all intermediate versions according to the optimal merging path; and generating a final merged version as shared output data for remote education collaboration. This invention solves the problem of logical breakage caused by inconsistent context versions in cross-time zone asynchronous collaborative editing.

Disclosed herein is a method for distance education of fields of knowledge to learners with different levels of knowledge and educational needs. The method includes receiving one or more subjects intended to be learned from a first user, determining a set of requirements / prerequisites for learning each subject of the one or more subjects using a database, receiving a first unknown subset of requirements / prerequisites among the set of requirements / prerequisites from the first user by dividing the set of requirements / prerequisites into the first unknown subset of requirements / prerequisites and a known subset of requirements / prerequisites, determining a second unknown subset of requirements / prerequisites among the known subset of requirements / prerequisites by performing a set of tests respective to the known subset of requirements / prerequisites using the database, and generating a learning package respective to each subject of the one or more subjects based on the first unknown subset and the second unknown subset using the database.

The invention relates to the technical field of remote education, in particular to a remote vocal music teaching multi-angle image synchronous analysis system. Comprising a student image data acquisition module, a course database, a curved surface manifold construction module, a geodesic deviation analysis module, a multi-modal interaction feedback module, an audio acquisition module, a pitch-attitude correlation analysis module, a teacher remote guidance module and the like. The difference between the student attitude and the standard attitude is accurately quantified through a geodesic deviation vector field, an optimal attitude correction path is calculated based on curvature optimization, real-time guidance is provided through multi-mode feedback of vision, hearing, touch and the like, the system further establishes association mapping, auxiliary analysis and guidance of acoustic features such as pitch and tone and attitude manifold features, and the system is applied to the field of teaching. Through the edge calculation and adaptive bandwidth management technology, the delay problem in remote teaching is solved.

A system for AI-enhanced educational telepresence integrates artificial intelligence intermediary capabilities into video conferencing platforms to monitor, analyze, and intelligently modify communications between remote participants and classroom environments in real-time. The system comprises audio-video interfaces connected through a communication network, with a central AI intermediary that monitors classroom dynamics and participant engagement. Key capabilities include real-time correction of misinformation, addition of contextual information, deliberate introduction of educational stimuli, translation services, and generation of deepfaked content to modify participant appearance or speech. The system provides engagement monitoring that responds through instructor alerts, generated deepfake questions, or visual stimuli injection. Advanced embodiments incorporate surrogate avatar functionality with private communication channels and coaching capabilities. The system enables AI entities to gain physical world presence through surrogate avatars, allowing artificial intelligence systems to interact with physical environments through human intermediaries.

The present invention provides a method for providing individualized and interactive remote education and a system thereof. The method includes the steps of: storing educational materials and links to remote databases and / or library resources; providing educational materials to the educational material database and updating the educational materials stored in the educational material database; maintaining a user profile for each user; generating an individualized learning program for each user based on the user profile; and autonomously producing content to the user and forwarding user feedback via a generative artificial intelligence (AI) module.

The present invention discloses a concentration classification method and system based on single-channel EEG brain electrical signals, including: collecting an original data set of brain electrical signals by a portable single-channel EEG brain electrical device, and collecting body temperature and heart rate data by an auxiliary module; preprocessing the original data set, as well as data enhancement and data reconstruction, and then dividing the processed data set into a training set and a test set; constructing an improved LSTM neural network model, optimizing the training data set with an improved loss function, and inputting the same to train the network model; using the body temperature and heart rate data to correct the training result of the model to obtain a concentration classification model; inputting the test data set into the obtained concentration classification model to obtain a concentration classification result of the brain electrical signals. The method and system proposed by the present invention greatly improve the classification accuracy of single-channel EEG brain electrical signals and have broad application prospects in the fields of distance education monitoring and intervention for adolescents with learning disabilities, etc.

The utility model belongs to the technical field of teaching platforms, and discloses a distance education auxiliary device for a teaching platform, which comprises a bottom plate and a camera, the top surface of the bottom plate is provided with a fixed plate, the fixed plate is internally provided with a lifting cavity, the lifting cavity is internally provided with a telescopic plate, and the surface of the telescopic plate is provided with a moving assembly for moving and adjusting the camera. The surface of the telescopic plate is provided with an overturning assembly used for adjusting the angle of the moving assembly, the moving assembly enables the camera to be moved and adjusted in the horizontal plane, the camera can shoot a user at multiple positions, sight shielding is avoided, the watching experience of a remote viewer is enhanced, and the user experience is improved. And the overturning assembly can be adjusted and folded when the device is not used, so that the device is convenient to store, and the space occupied by the device is reduced.

The invention relates to the technical field of signal acquisition, in particular to a signal acquisition device and method based on remote education. Comprising a support assembly, a control unit connected to the support assembly, a recycling assembly movably connected to the support assembly, a relieving assembly connected to the recycling assembly, a driving assembly connected to the control unit and a clamping assembly connected to the recycling assembly. The connecting rope is connected to the waist of a student through the hook-and-loop fastener belt ring, and the student is driven to circumferentially run around the support assembly, so that the force exerting state of the student is collected through the collecting unit sliding on the connecting rope; the power generation state of the students is monitored in the whole process by guaranteeing that the acquisition unit and the students move synchronously, meanwhile, the acquisition unit is controlled to move on the connecting rope, so that the camera shooting area is enlarged and shrunk, and the acquisition precision of the whole signal acquisition device can be improved.

The invention discloses a remote education voice question answering system and method based on an AIGC artificial intelligence technology, and relates to the technical field of artificial intelligence. When a student uses a remote education equipment terminal to ask a question, audio data is collected in real time, and noise feature extraction is performed on the audio data; automatically adjusting the voice acquisition sensitivity and gain of the remote education equipment terminal according to the environmental noise; performing recognition conversion and word vector representation on the audio data, generating a word vector sequence, obtaining a hidden state representation corresponding to each word vector in the word vector sequence, obtaining an attention coefficient of each word vector according to the hidden state representation corresponding to each word vector, and generating a problem vector; and performing knowledge base retrieval and splicing representation on the question vector, generating an input ID sequence, constructing an answer generation model, inputting the input ID sequence into the answer generation model, and obtaining answer audio data, so that the pertinence and effectiveness of voice question answering are remarkably improved.

The invention discloses a computer multimedia remote education device, and relates to the technical field of education demonstration teaching aids. Comprising a control machine body, an installation frame is fixed to the control machine body, a universal support is connected to the installation frame, a camera is installed on the universal support, a supporting bottom plate is fixedly installed at the bottom of the control machine body, supporting rods are installed at the four corners of the lower end of the supporting bottom plate correspondingly, and pulleys are installed on the supporting rods; a sliding block is movably installed on the installation frame, connecting supports are symmetrically installed on the two sides of the sliding block, multimedia screens are rotatably installed on the connecting supports, a supporting plate and a folding cleaning mechanism are installed on the installation frame in a sliding mode, and the folding cleaning mechanism is arranged on the installation frame. And through linkage cooperation of the folding cleaning mechanism and the stable supporting mechanism, angle adjustment of the multimedia screen, automatic protection cleaning and stable parking of the device are achieved at the same time, and the application range of the device is widened.

The application discloses a visual data interaction method based on distance education and relates to the technical field of distance education data processing, and comprises the following steps: a distance education platform reads a standard analysis node sequence of a current knowledge point and student answer records, analyzes the student answer records into a plurality of answer action records with time sequence relationship, compares input objects, processing objects and output objects of the answer action records with the standard analysis nodes node by node, substitutes output objects corresponding to candidate deviated analysis nodes into subsequent analysis nodes to perform a carrying check, and forms a deviated analysis node record.The data received by the teacher end in the application is no longer limited to whether the answer result is correct, but can correspond to an analysis node sequence, a knowledge calling field and a subsequent carrying state, so that subsequent preposition path retrieval and interaction record generation are facilitated.

The invention discloses an intelligent invigilation device for network distance education, and relates to the field of invigilation equipment, the intelligent invigilation device comprises a base, the top of the base is provided with a fixed sleeve, the side surface of the fixed sleeve is provided with a linkage control box, the top of the linkage control box is provided with a control console, and the control console is provided with a fingerprint identification module. An acquisition block is mounted at the top of the fixed sleeve, an image acquisition camera is mounted on the acquisition block, a height adjusting unit is arranged on the fixed sleeve, and a multi-dimensional adjusting unit is arranged on the acquisition block. According to the intelligent invigilation device for network distance education, through mutual cooperation of the image acquisition camera and the multi-dimensional adjusting unit, all-directional and dead-corner-free monitoring can be carried out in the invigilation process, and through cooperative use of the height adjusting unit, the height of the image acquisition camera can be adjusted, so that the invigilation efficiency is improved. Therefore, the system can adapt to different examination scenes.

We provide the system. [Solution] An artificial intelligence method that proposes the optimal educational curriculum based on the user's learning history and career information, Means of providing education remotely using generated educational resources, A means of tracking learning progress and providing personalized learning support to users, A means of generating test questions and automatically evaluating user responses, A system that includes this.

The invention discloses a remote vocational skill training and examination system for the disabled, and relates to the technical field of remote education assistance for the disabled, and the system comprises a disabled type recognition module, a multi-modal interaction combination module, a sensitivity adjustment module, a vocational skill training module and a vocational skill examination module. By integrating various technical means such as the image acquisition equipment and the biosensor, the disability type and degree of the user can be scientifically and accurately judged, the training content and the interaction mode are automatically adjusted according to the recognition result, and it is ensured that each user can obtain the most suitable training scheme, for example, for a visually impaired user, the training efficiency is greatly improved. Interaction modes such as voice instructions and braille tactile feedback are preferentially provided; for the limb disability user, the sensitivity and the response speed of eye control operation equipment and the like can be optimized, and the training effect and the user satisfaction degree are improved through the precise recognition and personalized training mechanism.

The invention discloses a 4K real-time rendering method and system for efficient cloud plug flow, and the method comprises the steps: carrying out the real-time rendering of a picture through a cloud end, recognizing a key frame, carrying out the coding compression of the key frame, and transmitting the key frame to a client; constructing a 4K real-time rendering model, and downloading the 4K real-time rendering model to the client; and in the client, converting the key frame to 4K resolution by using a 4K real-time rendering model to finish rendering. According to the method, the problems, such as block artifacts, ringing effects and edge detail loss, existing in the traditional super-resolution technology are effectively solved, and meanwhile, the overall processing efficiency and the image quality are improved. The method not only provides powerful technical support for cloud simulation, but also opens up new possibilities for other application scenes depending on high-quality video streams, such as distance education, virtual tourism, cloud games and the like.

The invention discloses a remote medical service management platform which comprises a user layer, an application layer, a middle layer, a data management layer and a data interface layer. A medical expert logs in the management platform through the expert module, a base-level user logs in the management platform through the base-level user module, and the medical expert enters the remote inquiry module, the remote consultation module, the chronic disease management module and the remote education module through the application layer to perform inquiry, consultation, remote education and chronic disease management services; the base-layer user enters a corresponding expert through the application layer to carry out inquiry and consultation, inquires a health file of the base-layer user and looks up health information; the primary-level staff log in the management platform through the primary-level staff module, and the primary-level staff enter the remote education module to carry out remote education learning with medical experts; according to the invention, resource sharing can be realized, and medical assistance can be carried out in areas with developed medical resources and areas with lack of medical resources.