3412results about "Teaching apparatus" patented technology

The invention relates to the technical field of intelligent education, in particular to an STEM teacher intelligent research and repair method and system fusing a knowledge graph and a graph neural network, and the method comprises an interdisciplinary knowledge graph construction and dynamic updating module which forms a concept association network with timeliness weight through the analysis of multi-source STEM educational resources and the modeling of the graph neural network; the teacher intelligent agent learning companion module is used for converting a teacher request into a teaching scheme with an evidence chain by adopting a thinking chain reasoning mechanism of graph retrieval enhancement and teaching logic constraint; the teacher portrait construction and professional development planning module is used for realizing dynamic quantification of STEM-TPACK (subject teaching knowledge of integration technology) capability characteristics of teachers through multi-modal teaching behavior analysis, and performing joint embedded representation with knowledge graph nodes; and the teacher teaching, learning and research community construction and treatment module constructs an affinity network based on the teacher feature vector, and realizes group intelligent division, self-built large-scale MOOC resource pushing and inter-disciplinary collaborative task generation.

The invention relates to the technical field of artificial intelligence and language learning, in particular to a multi-modal language learning auxiliary system and method based on artificial intelligence, and the system comprises a multi-modal input module, a cross-modal feature fusion module, a dynamic adaptive learning module and an interactive feedback generation module. Wherein the multi-mode input module is used for receiving original text data, original image / video data and original voice data; the cross-modal feature fusion module is used for extracting a visual feature vector and a semantic coding vector and generating a cross-modal joint feature vector; the dynamic adaptive learning module is used for generating dynamic scene parameters; and the interactive feedback generation module is used for outputting a multi-mode feedback data packet through a prompt learning engine. According to the method, by fusing multi-modal feature alignment and dynamic context parameter modeling, linkage generation of grammar, culture and pronunciation feedback is achieved, and the context understanding ability and interaction feedback precision in the language learning process are improved.

The invention provides a multi-signal fusion massage glove teaching system and a control method, and the system comprises a glove body, and a pressure sensing module, a motion sensing module and a myoelectricity sensing module which are disposed on the glove body, and is in electric signal connection with the pressure sensing module, the motion sensing module and the myoelectricity sensing module through a control unit. The control unit is used for analyzing the collected massage pressure, motion trail and electromyographic signals, and synchronous and in-situ collection of force-motion-physiology multi-dimensional information of massage manipulation in a real clinical environment is achieved. The design overcomes the limitation that in the prior art, a real operation scene is separated, and only single-aspect measurement can be carried out, and a hardware foundation is laid for comprehensive and objective quantitative evaluation of the massage manipulation. The integrated structure greatly facilitates the use of an operator, and the system can evaluate the manipulation quality online and give guidance immediately, thereby greatly improving the teaching efficiency and the training effect.

The invention belongs to the technical field of intelligent voice processing, and particularly relates to a spoken language pronunciation training and correcting system based on intelligent equipment, which acquires a user rhythm feature set including pitch change rate, accent intensity, pause duration and intonation contour by acquiring spoken language audio data sent by a user for a target text, and corrects the spoken language pronunciation training and correcting system. The method comprises the following steps: acquiring spoken language audio data, converting the spoken language audio data into a phoneme sequence aligned with target text time, generating a rhythm deviation degree report according to comparison evaluation of a user rhythm feature set and the phoneme sequence, an execution intonation mode, accent distribution, speech stream sound change and speech speed rhythm, and determining the rhythm deviation degree according to a rhythm problem type in the report in combination with user historical learning data. And forming and outputting a correction scheme including a text prompt, a targeted minimum contrast training unit and a listen-and-read simulation task, solving the problem of weak capability of correcting hyper-phoneme in a second language spoken language of an adult, and improving the authentic and fluency of the spoken language, thereby realizing efficient personalized learning.

One or more driving analysis computing devices in a driving analysis system may be configured to analyze driving data, determine driving behaviors, and calculate driver scores based on driving data transmitted using vehicle-to-vehicle (V2V) communications. Driving data from multiple vehicles may be collected by vehicle sensors or other vehicle-based systems, transmitted using V2V communications, and then analyzed and compared to determine various driving behaviors by the drivers of the vehicles. Driver scores may be calculated or adjusted based on the determined driving behaviors of vehicle drivers, and also may be calculated or adjusted based on other the driver scores of nearby vehicles.

The invention relates to the technical field of intelligent education, in particular to an AI-based nursing teaching scene construction and evaluation system. According to the system, a dynamic case script is generated through historical case data, and a virtual patient physiological model is constructed; creating three teaching scenes of community follow-up visit, emergency rescue and traditional Chinese medicine nursing fusion by using a mixed reality technology; a personalized learning portrait of the student is constructed through a pre-test, and accurate matching between the ability of the student and the teaching content is formed; a double-track system skill training module is built, and AI tutor guidance and teacher guidance are integrated; and an ability evaluation system based on operation data is established, and intelligent pushing of adaptive training content is realized. The problems that in traditional nursing teaching, scene authenticity is insufficient, personalized training is insufficient, and clinical thinking is difficult to cultivate are solved, and the clinical operation skill and decision judgment ability of students are improved.

The invention relates to novel compositions and methods of using maribavir which enhance its effectiveness in medical therapy, as well as to maribavir isomers and methods of use thereof for counteracting the potentially adverse effects of maribavir isomerization in vivo in the event it occurs.

The invention discloses an ancient poetry multi-mode teaching system based on HSK classification, and belongs to the field of intelligent teaching. Comprising a learning evaluation portrait module, a learning path generation module, a physiological emotion monitoring module, a cognitive load analysis module, a vocabulary grammar enhancement module, a modal semantic analysis module, an artistic conception analogy generation module, a holographic scene generation module, a feedback interaction experience module, a content dynamic adjustment module, a recitation pronunciation correction module and an expansion knowledge generation module. A performance analysis feedback module and a review memory enhancement module; according to the method, learning tasks can be updated in real time along with the change of the ability of students, a one-step teaching mode is avoided, the learning efficiency and adaptability are improved, the learning experience and continuity are greatly improved, cultural faults can be effectively reduced, non-native Chinese language persons can understand the deep significance of ancient poetry more easily, and the learning efficiency is improved. The memory depth of the learner to the poetry artistic conception and vocabularies is greatly improved, and the learning motivation is also improved.

Described techniques may be utilized to receive a transcription stream including transcribed text that has been transcribed from speech, and to receive a summary request for a summary to be provided on a display of a device. Extracted text may be identified from the transcribed text and in response to the summary request. The extracted text may be processed using a summarization machine learning (ML) model to obtain a summary of the extracted text, and the summary may be displayed on the display of the device. When an image is captured, an augmented summary may be generated that includes the image together with a visual indication of one or more of an emotion, an entity, or an intent associated with the image, the summary, or the extracted text.

The invention provides a financial practical training method, system and product based on a dynamic situation. The method comprises the following steps: generating a user portrait based on user state information; generating financial practical training scene data based on the user portrait and the knowledge graph; triggering a corresponding situation event based on the operation behavior data of the user, and updating a user portrait in real time; optimizing a triggering path of the situation event based on the updated user portrait and the knowledge graph, and returning to the step of triggering the corresponding situation event based on the operation behavior data of the user until a preset practical training target of the user is achieved; and after a preset practical training target of the user is achieved, generating a personalized evaluation report based on the latest user portrait. According to the financial practical training method provided by the invention, targeted financial practical training scene data is realized through fusion of the knowledge graph and the user portrait, and a situation event triggered in the financial practical training scene data is adjusted in real time according to user operation, so that the pertinence and timeliness of a financial education tool in a use process can be effectively enhanced.

The invention discloses a neck-hung sign language interpretation device and a sign language semantic recognition interpretation method thereof.The neck-hung sign language interpretation device comprises a wearing support which defines a neck surrounding space and comprises a middle connecting arm and two shells, and the two shells are connected to the two sides of the middle connecting arm respectively; the image acquisition unit is arranged on the front side of the shell, comprises a three-dimensional depth camera and an adjusting mechanism for driving the three-dimensional depth camera to rotate, and is used for dynamically tracking and acquiring continuous sign language videos; the processing module is integrated in the shell, comprises a main control processor and a memory, and is used for operating a sign language recognition algorithm; the voice output unit is electrically connected with the main control processor and is used for playing the translation result; and the power supply unit supplies power to the image acquisition unit, the processing module and the voice output unit. Gesture languages used by the deaf-mute for communication are converted into natural languages which can be easily understood by normal people, the deaf-mute group is helped to speak, and the problem of information output when the deaf-mute communicates with the normal people is solved.

The invention relates to the technical field of writing intelligent tutoring, and discloses a deep learning personalized tutoring method based on a real-time writing track. The method comprises the following steps: capturing writing motion data of a user in real time through a track sensing device, wherein the writing motion data comprises a pen point coordinate sequence, a timestamp sequence and a pressure intensity sequence; performing initial processing such as noise suppression and data alignment on the captured data; constructing a deep learning architecture based on the processed data to learn the writing feature representation; analyzing a real-time writing track sequence by applying the framework, and identifying writing deviation and a user habit mode; generating a customized tutoring instruction set according to the analysis result; and the deep learning architecture and the tutoring instruction set are dynamically updated by using the user interaction data and the continuously collected writing traces. According to the method, writing details can be comprehensively captured, writing problems and habits can be accurately identified through deep learning, personalized tutoring is provided, tutoring strategies can be dynamically adjusted, and the pertinence and effectiveness of writing tutoring are improved.

The invention discloses a sign language recognition glasses device, system and method, and belongs to the technical field of intelligent equipment, and the sign language recognition glasses device comprises a glasses frame which is used for supporting all components of the device; the camera is arranged on the front side of the glasses frame and is used for capturing hand actions in real time to generate image information; the data processing module is embedded in the glasses frame, electrically connected to the camera and used for processing the image information and executing sign language recognition; the main control unit is arranged on an ear rod of the glasses frame, is electrically connected to the data processing module and is used for coordinating the operation of each component; the display module is arranged at the positions of the lenses of the glasses frame, electrically connected to the main control unit and used for displaying character information obtained after sign language recognition, communication between hearing-impaired people and common people is not limited by specific places any more, and instantaneity and convenience of communication are greatly improved.

A golf swing instructional training system is provided. The system includes a display, at least one image capturing device, a neural network, and a biomechanics assessment server. The image capturing device transmits data for use in analyzing motion of a user using the system. The neural network receives data transmitted from the image capturing device. The display is coupled to neural network and displays data received from the user and generated from the neural network. The biomechanics assessment server analyzes data transmitted from the capturing device and any input by the user. The assessment server includes at least a biomechanics rules library for use in analyzing the motion of the user based on body landmarks of the user identified by the neural network. The biomechanics rules library includes at least a golf club database, and a swing database. The neural network provides feedback to the user to facilitate improving at least one of the user's golf stance when addressing a ball, and the user's golf swing.

Methods and systems are disclosed for collecting EMG speech signals. The methods and systems present a target word for electromyograph (EMG) data collection on a graphical user interface (GUI) and receive input to initiate recording of EMG data. The methods and systems, in response to receiving the input, collect, by an EMG communication device, a set of EMG signals generated based on an individual user of the EMG communication device over a threshold period of time. The methods and systems determine whether the set of EMG signals collected over the threshold period of time corresponds to the target word and present feedback in the GUI based on whether the set of EMG signals collected over the threshold period of time corresponds to the target word.

The invention discloses an industrial robot programming teaching method and system, and belongs to the technical field of programming teaching, and the method specifically comprises the steps: collecting programming behavior data and industrial robot operation data in real time, generating learning state data of students according to the programming behavior data and the industrial robot operation data, and storing the learning state data of the students; the learning state data of the student comprises a programming behavior, a knowledge mastering degree and a learning style of the student, determining a knowledge point node embedding offset in combination with a preset dynamic knowledge graph according to the learning state data of the student, and updating the current dynamic knowledge graph according to the knowledge point node embedding offset, determining a current knowledge difficulty of the student based on the current dynamic knowledge graph, and pushing difficulty analysis data to a learning terminal of the student based on the current knowledge difficulty; according to the invention, accurate knowledge feedback for individual differences is realized, and the pertinence and efficiency of industrial robot programming teaching are effectively improved.

The invention relates to the technical field of monitoring for cerebrovascular disease rehabilitation teaching, and discloses a monitoring system for cerebrovascular disease rehabilitation teaching based on an AI technology. The system comprises an acquisition module, an extraction module, a frame module, an organization module, an analysis module and a rendering module, and sequentially realizes multi-modal teaching data acquisition, knowledge extraction, AI model training, teaching content organization, learner action evaluation and feedback rendering, and constructs an intelligent rehabilitation teaching display interface. According to the application, high-quality acquisition and fusion modeling of multi-modal data in cerebrovascular disease rehabilitation teaching are realized, and an AI teaching system with knowledge-driven and intelligent feedback capabilities is constructed, so that the individuation, systematicness and interactivity levels of rehabilitation action teaching are improved.

To provide an information processing system capable of efficiently supporting a target person.SOLUTION: An information processing system includes: a generation unit which generates emotion information based on biometric data of a target person or input data; a content acquisition unit which acquires first content based on the emotion information generated in the generation unit; an integration unit which integrates the emotion information with the first content acquired in the content acquisition unit; a content generation unit which generates second content based on the information integrated in the integration unit; an output unit which outputs the second content generated in the content generation unit; and a recording unit which records the emotion information and the second content in association with each other.SELECTED DRAWING: Figure 3

The invention relates to an anatomy intelligent tutoring system and method based on term alignment and multi-modal verification. The method comprises the following steps: acquiring multi-modal data of a learner and implementing time axis alignment and term alignment to generate a standardized time sequence data set for feature extraction; inputting the feature vector into a long short-term memory network model, and analyzing the time sequence relevance to generate a cognitive state vector; when the conceptual error probability in the cognitive state vector exceeds a threshold value, extracting a term set to be verified based on a three-dimensional anatomical model interaction log; the term pair with the highest confusion degree is accurately positioned as an error attribution result by performing knowledge graph topological correlation analysis on the term set and calculating the confusion degree between the terms; and finally, in combination with the historical ability portrait of the learner, performing dynamic matching from the multi-modal strategy library to generate personalized tutoring content, and embedding the personalized tutoring content into a three-dimensional model interface to execute intervention, so that the effects of automatically identifying anatomical concepts from the multi-modal behavior data to understand error roots and generating targeted tutoring strategies are realized.

The invention belongs to the technical field of intelligent sports and computer vision crossing. The adaptive training method based on Tai Chi action recognition is provided, and space action features are extracted according to three-dimensional human skeleton key point coordinates of a human body; extracting multi-scale motion features of the human body in a time domain according to the spatial motion features; global attention aggregation is carried out according to the multi-scale motion features of the human body in the time domain, and a human body motion recognition result is obtained; according to a human body action recognition result, matching a corresponding Tai Chi style drawing theory; superposing multi-dimensional visual prompts into a Tai Chi motion video according to the Tai Chi motion style theory so as to intuitively prompt a user about action key points; calculating an action problem based on priori knowledge or a preset template, prompting an error position and an error reason by adopting graphs and / or characters, and giving an adjustment suggestion; according to the invention, more personalized training experience can be provided, cognitive load can be reduced, and training efficiency, training effect and cognitive learning fluency can be improved.

The invention belongs to the technical field of education, and discloses a Chinese shadow puppet visual impaired person teaching guidance system and enlightenment method based on big data, a multi-modal data acquisition module assists the visual impaired person to establish spatial cognition by means of a sensor and three-dimensional modeling; the personalized teaching scheme generation module analyzes and customizes a teaching path according to the data and guides thinking; the real-time feedback module is combined with multiple technologies to timely correct operation; the culture knowledge base module integrates resources and constructs a shared community; the dynamic evaluation module generates a multi-dimensional report, supports family-school cooperation, assists the visually impaired person in learning shadow puppet art in an all-around manner, and constructs a personalized learning portrait through multi-modal data acquisition and intelligent analysis by applying technologies such as a sensor and voice interaction; implementing a dynamic self-adaptive personalized teaching strategy, customizing a teaching scheme according to portraits, pushing targeted tasks and generating interaction questions; multi-dimensional dynamic evaluation and collaborative optimization are carried out, an evaluation system is constructed for comparative analysis, a visual report is generated, and all parties collaboratively adjust the plan.

The invention discloses an instrument of an intelligent breathing and motion capture system based on six-character table health maintenance, and relates to the technical field of intelligent health maintenance equipment, the instrument comprises a hardware part and a software part; the hardware part comprises a mouth shape visual capture assembly, an action force and angle sensing assembly, an audio acquisition and feedback assembly and a main control and power supply assembly; the software part comprises a data acquisition module, a signal preprocessing module, a parameter analysis and judgment module, a real-time feedback module and a data storage and management module; according to the invention, through integration of the mouth-shaped visual capture assembly, the action force and angle sensing assembly, the audio acquisition and feedback assembly and the master control and power supply assembly, synchronous acquisition and processing of multi-source data are realized; the mouth shape change, the body movement and the audio pronunciation of the user can be accurately captured in real time, and powerful technical support is provided for standardized practice of six-character table health maintenance.

A system and method is disclosed for testing and training a brain capability of planning and executing motion activity. The system comprises the following: an electroencephalographic sensor arrangement attachable to a head of said trainee; a processor configured for receiving and analyzing electroencephalographic signals obtained from said trainee in response to said visual stimulus displayed to said trainee; a memory storing instructions fori. instructing the trainee to imagine executing said motion action;ii. measuring electroencephalographic signals on the electroencephalographic sensor arrangement;iii. calculating at least one of a concentration index; a motor control index; an alertness index;iv. and iteratively providing the trainee with a feedback patternIn some embodiments a display is provided as a visual stimulus to the trainee to which the trainee responds by imagining executing a motion activity.

A programmatically generated AI avatar includes a customizable personality module, acting as the embodied interface for a powerful AI “mind” that delivers personalized coaching to improve user health, well-being, and longevity. The system uses machine learning, large language models, and biometric modeling to synthesize real-time, multi-modal health data—including sleep, nutrition, glucose, mood, and activity—and generate forward-prescribed KHAs. Unlike human coaches, it continuously adapts based on context and behavior, targeting the root cause: metabolic dysfunction—namely by restoring healthy, sustainable body composition through the preservation or building of lean muscle mass and reduction of excess fat. KHAs can also be shared with friends or programmatically generated AI avatars, allowing for coordinated action, emotional support, and accountability through social connection—further reinforcing positive behavior and adherence. The system's reinforcement learning engine incorporates both individual response data and anonymized population-level insights to optimize recommendations over time, learning which interventions are most effective for users with similar physiological and behavioral profiles. First validated with Olympic athletes—resulting in measurable improvements and medal-winning outcomes—this system offers a scalable, emotionally intelligent coaching engine that exceeds human capability, designed for the ultimate purpose of supporting sustainable health, resilience, and human thriving.

Aspects of the disclosure relate to dynamically providing cybersecurity training based on user-specific threat information. A computing platform may receive, from a targeted attack protection (TAP) server, user-specific threat information indicating at least one threat that has been encountered by at least one user. The computing platform may identify one or more users to receive cybersecurity training in a first cybersecurity training topic based on the user-specific threat information indicating the at least one threat that has been encountered by the at least one user. Subsequently, the computing platform may load one or more cybersecurity training modules based on identifying the one or more users to receive the cybersecurity training in the first cybersecurity training topic. Then, the computing platform may provide the one or more cybersecurity training modules to one or more user computing devices.

The invention relates to the technical field of computer teaching systems, in particular to an ambulance teaching system applied to a naval vessel, which comprises a background server, a student end and a teaching management end, and is characterized in that a data management module in the background server comprises a plurality of standard ambulance process libraries, an ambulance knowledge base and an ambulance knowledge question bank in different ambulance scenes; the teaching management end is provided with a rescue scene switching module, when the teaching management end is switched to a corresponding rescue scene, each student end is used for displaying rescue knowledge questions and each disordered rescue process module in the corresponding rescue scene, answering the rescue knowledge questions and sequencing and answering each disordered rescue process, and the teaching management end is provided with a corresponding rescue scene switching module. The answer results are sent to a background server, and the background server is used for evaluating the answer results. According to the invention, comprehensive and systematic naval vessel rescue teaching can be realized, and progressive teaching from theoretical knowledge, one-way drilling and combined drilling is carried out on trainees, so that a better teaching effect is achieved.

In some implementations, a browser extension may receive a setting indicating a level of verbosity and may receive an image and a set of words associated with the image. The browser extension may identify a foreground of the image and a background of the image and may identify, within the foreground of the image, a set of objects. The browser extension may rank the set of objects based on one or more properties of the set of objects and the set of words and may select a subset of objects from the set of objects based on the setting and the ranking. Accordingly, the browser extension may generate descriptions of the selected subset of objects based on the setting and may input the generated descriptions to a text to speech algorithm.

The invention provides an online interactive programming education system based on a micro-service architecture, and the system comprises an infrastructure layer which serves as a bottom layer computing power and provides an elastic computing power through a cross-cloud deployment technology and a dynamic resource scheduling technology; the platform core layer constructs a stateless micro-service cluster through a service registration discovery module, a load balancing module and a fusing mechanism module depending on elastic resources of the infrastructure layer, and the infrastructure layer provides physical resource guarantee for operation of the micro-service cluster of the platform core layer; the platform support layer is used for integrating an authority management component, a workflow engine component and a general service component based on a stateless micro-service cluster constructed on the platform core layer, and providing resource isolation and high-concurrency task scheduling support in a multi-tenant environment for the programming education system; the platform core layer is combined with distributed transaction management to provide stable service scheduling and communication capability for an authority management component, a workflow engine component and a general service component of the platform support layer; and the platform application layer combines service scheduling and communication capabilities, realizes teaching functions such as multi-language development, code debugging visualization, AI personalized suggestion and collaborative learning, and directly serves programming learning of students and teaching management requirements of teachers.

To provide a technique capable of efficiently increasing the proficiency of a trainee.SOLUTION: A work training support system includes: a detector that detects the movement of a tool during a first period in which an instructor performs work using the tool; a generator that generates, using a result of detecting the movement of the tool during the first period, a first image representing the movement of the tool during the first period; and a display that is a transmission type display worn on a head of a trainee and displays the first image in a field of view of the trainee.SELECTED DRAWING: Figure 1

A system for predicting a resting position of a golf ball may use ball tracking sensor data to identify an impact location of the ball. Modeling of ball movement following impact may be performed that incorporates measured ball impact physics, impact coordinates, and material properties of ground or objects to which the impact coordinates correspond and, together with historical shot data corresponding to the impact coordinates or an encompassing zone, bounce and roll behavior and / or final resting position predictions may be generated.