5163results about "Teaching apparatus" patented technology

In accordance with the present disclosure, systems and methods are provided for providing personalized education to users. the systems and methods may collect, process, and analyze various user information including data from compatible IoT devices using a composite AI model. The systems and methods may generate a personalized education profile for the user using the composite AI model based on the analyzed user information. The systems and methods may generate and deliver personalized education content aided by the use of the composite AI model. the system may also monitor and receive user feedback in real-time for updating the composite AI model, the personalized education profile, and the personalized education content.

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 physical education, in particular to a physical education method and system based on multimedia and holographic AR fusion, and the method comprises the following steps: collecting the motion data of a trainee based on a multi-source sensor array, constructing a motion parameterized model, and generating a holographic projection generation module through the cooperation with a standard motion database; a holographic AR teaching image is generated in real time, an environment perception module is combined to carry out adaptive projection on illumination and spatial layout, a spatial positioning module is used to establish coordinate mapping between a trainee and a virtual image, and a multi-channel feedback device is started to output visual, tactile and auditory signals. And finally, comparing the action parameters with the standard action data to automatically generate a training report containing wrong action labels and correction suggestions. According to the method, the motion capture precision and the interactive immersion can be effectively improved, and efficient and extensible technical support is provided for modern physical education and training.

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 discloses a large-model intelligent child interaction cloud system and a control method thereof, toys and audio and video players are connected with a cloud server through a wireless network, personalized role interaction content can be acquired and updated in real time, and interaction content conforming to identity characteristics of each toy role is generated for each toy role through a cloud agent. The cloud server has a long-term memory ability, and the interaction between the user and the toy role is completely memorized and a dynamically updated knowledge base is formed by constructing a digital world and a timeline, so that the immersive learning experience of children is enhanced, and the interestingness and educational effect of interaction are improved. The electronic tag technology, the cloud large model intelligent agent, the long-term memory mechanism and the audio, image and video playing technology are combined, the one-way interaction mode of a traditional child toy is broken through, knowledge can be gradually accumulated in interaction between children and toy roles, and the interestingness of the children is improved. And through the timeline of the digital world, the toy role continuously grows and evolves along with the passage of time, so that continuous and personalized education and accompanying are provided.

The invention relates to the technical field of language learning, and discloses an English auxiliary pronunciation training method and system based on multi-task learning, and the method comprises the following steps: constructing a multi-task learning framework which comprises at least two subtask models related to pronunciation, comprising the steps of pronunciation accuracy scoring, pronunciation error type positioning and intonation fluency analysis. A voice signal, a lip movement video and a text content of a user are collected through a multi-modal data input module; and performing joint coding on the multi-modal data by using the shared feature extraction layer to generate fused acoustics. According to the English auxiliary pronunciation training method and system based on multi-task learning, the pronunciation training path of the user can be adaptively adjusted, the requirements of different users can be met, the English pronunciation level can be more effectively improved, and through strategies such as multi-modal data input, shared feature extraction, inter-task attention mechanism and adaptive training path adjustment, the English pronunciation training efficiency can be improved. Accurate evaluation and personalized training of English pronunciation are realized.

Provided herein are systems and methods for providing instructions for speech based on speech classifications of verbal communications from users. Ae computing system can generate speech characteristics for a first verbal communication using a first audio sample from a user. The computing system can determine, from a plurality of speech classifications, a first speech classification for the first verbal communication based on the speech characteristics. The computing system can select, from a plurality of actions, an action comprising modifying one or more of the speech characteristics to define an utterance for the user based on the first speech classification. The computing system can provide an instruction presenting a message to prompt the user to perform the utterance defined by the action selected from the plurality of actions. The efficacy of the medication that the user is taking to address the condition may be increased.

System and techniques to facilitate the translation of a sign language into another language are described herein. A modular architecture may be used in which the output of different classifiers may be used to produce intermediate representations, or final translations, of the sign language. These classifiers may be trained on different types of signs to enhance accuracy while reduce training time and complexity.

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 present invention relates to an advanced augmented reality, AR, apparatus featuring a video see-through AR, VST-AR, device that captures images of a real-world environment and displays augmented versions on a screen. The system includes a corporal entity, such as an empty laboratory vessel, equipped with a unique identification marker. This marker provides real-time spatial data for generating visual augmentations representing virtual matter within the vessel. The apparatus integrates various sensors, including an inertial measurement unit, IMU, capacitive tactile sensors, and a thermal diode, to dynamically adjust visual augmentations based on user interactions. Additional sensory enhancements include an olfactory output fan, an eccentric rotating mass, ERM, motor, and auditory outputs. Wireless connectivity via IEEE 802.11 (Wi-Fi) and IEEE 802.15.1 (Bluetooth) ensures seamless communication between components. This AR system is particularly valuable for educational and laboratory settings, offering realistic, interactive simulations.

A system for estimating a three dimensional pose of one or more persons in a scene is disclosed herein. The system includes one or more cameras and a data processor configured to execute computer executable instructions. The computer executable instructions include: (i) receiving the one or more images of the scene from the one or more cameras; (ii) extracting features from the one or more images of the scene for providing inputs to a three dimensional pose estimation neural network; (iii) generating, by using the three dimensional pose estimation neural network, vertices of a canonical human mesh model for the one or more images of the scene; (iv) retrieving a weight matrix from an annotation server that corresponds to a desired keypoint set; and (v) generating the desired keypoint set by multiplying the retrieved weight matrix with the vertices of the canonical human mesh model.

Disclosed are a dart game apparatus and a dart game system outputting an event effect. The dart game apparatus may include: a dart target having a plurality of score areas; a sensing unit sensing a hit location of a dart pin in the dart target; a display unit providing a display area surrounding the dart target, provided in a body structure of the dart game apparatus, and outputting a variable screen, comprising a touch sensor to detect at least one of a touch pressure, a touched position and a touched area in the display unit; and a controller controlling the display unit at least partially based on the hit location of the dart pin in the dart target.

Various embodiments described hereby include components of a planning, advice, and execution (PAE) system configured to deliver an advice, planning, and attainment experience that focuses on understanding clients as human beings and what they want to accomplish with their life. The PAE system, or one or more components thereof, may operate to provide technology-based solutions that continuously sync financial objectives with aspirations and values through the many moments of life. These technology-based solutions may empower humans to make financial decisions and attain life objectives, big or small, simple or complex, that make a real and lasting impact on their lives and future generations.

The invention relates to the technical field of intelligent education, in particular to a history self-learning system based on virtual intelligent tutoring, which comprises a screening classification unit, a recommendation learning module, a learning unit, a deepening module, a feedback module and a secondary deepening module. Wherein the screening and classifying unit is used for classifying learners into a function and benefit oriented type and an emotional resonance type by adopting a learner classifying algorithm based on POS (Point of Sale) annotation and a random forest; the recommendation learning module is used for recommending different historical learning contents to the learner according to the classification result and a self-learning mechanism; the learning unit is used for providing various learning modes for the learner; the deepening module is used for deepening the learning of the learner in an intelligent tutoring mode; the feedback module is used for feeding back a learning condition to the learner and optimizing a self-learning mechanism according to a feedback result; and the secondary deepening module is used for reminding the learner to review and customizing review questions for the learner. Therefore, the problems that in the prior art, courses lack personalized adaptation, learning interaction is not deep, feedback lags and the like are solved.

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 discloses a spoken language practice scene-oriented education large model evaluation method, which comprises the following steps of: obtaining voice data and a corresponding standard text, interacting with a test model through the voice data, and obtaining a recognition text, audio data and an answer text provided by the test model; the standard text and the recognition text are compared and evaluated, and the voice recognition accuracy is obtained; carrying out pronunciation accuracy, fluency and rhythm evaluation on the audio data based on multi-modal feature fusion to obtain an audio score; performing grammar accuracy evaluation on the answer text based on a dynamic punishment mechanism and the constructed prompt large model, and performing question degree evaluation on the answer text based on the constructed prompt large model to obtain an answer text score; and comprehensively summarizing the voice recognition accuracy, the audio score and the answer text score to obtain a final evaluation result.

A dynamic experience curation platform utilizing AI and ML techniques, including neural networks and generative models, to enhance user interactions with content on the Internet. The platform employs an Experience Broker (EB) service to disintermediate user devices from the internet (or other content / information sources), improving security and user experience. It processes content requests, extracts relevant information, filters out unwanted content like ads, transforms, combines, and / or mutates existing content, and generates curated content consistent with user preferences and other constraints. The platform's generative AI process renders content into a user interface consistent with user preferences. It allows for personalized content delivery across devices, including virtual and augmented reality environments. The platform supports a spectrum of personalization, allowing users to fine-tune their content consumption experience. Additionally, it manages user sessions across devices and integrates various databases for storing user profiles, preferences, and other relevant information.

Exercise-based watch faces and complications for use with a portable multifunction device are disclosed. The methods described herein for exercise-based watch faces and complications provide indications of time and affordances representing applications (e.g., a workout application or a weather application). In response to detecting a user input corresponding to a selection of the affordance (e.g., representing a workout application), a workout routine can optionally be begun. Further disclosed are non-transitory computer-readable storage media, systems, and devices configured to perform the methods described herein, as well as electronic devices related thereto.

A computing system, for automated generation of instructional text for driver safety, executes steps including: 1) accessing predefined datasets of telematic alerts, of predefined alert sequences, and of sequence categories; 2) acquiring one or more alert vectors during driving, each alert associated with a time of occurrence; 3) scanning each of the one or more alert vectors, over multiple time windows, to identify a set of alert sequence occurrences matching alert sequences in the sequence dataset and conforming to predefined time windows; 4) according to the severity of each alert sequence in the identified set of alert sequences, increasing by a proportional amount a priority score of a corresponding sequence category, to generate an aggregate priority score for each sequence category; and 5) providing instructional text associated with said sequential category from a text dataset to the driver.

In one embodiment, a method receiving, at a processing device of a vocational mask, first data pertaining to instructions for performing a task using a tool; transmitting, via a haptic interface communicatively coupled to the processing device of the vocational mask, the first data to a peripheral haptic device associated with the tool to cause the peripheral haptic device to implement the instructions by at least vibrating in accordance with the instructions to guide a user to perform the task using the tool; responsive to the peripheral haptic device implementing the instructions, receiving feedback data pertaining to gestures, motions, surfaces, temperatures, or some combination thereof, wherein the feedback data is received from the peripheral haptic device, and the feedback data comprises information pertaining to the user's compliance with the instructions for performing the task; and transmitting, to the computing device, the feedback data.

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 a nursing medicine education system based on the Internet, and relates to the field of computer application technology and education management, and the system comprises a theory learning module which is used for achieving the online teaching and personalized learning pushing of nursing theory knowledge, the nursing skill training module is used for training and evaluating the standardized nursing operation ability of students, the virtual simulation practical training module is used for providing an immersive virtual clinical training environment, and the structured nursing document training module is used for improving the ability of the students to write standard nursing documents. The intelligent evaluation module is used for carrying out automatic, multi-dimensional and structured comprehensive evaluation on the learning and training process of students, and the system integration interface module is used for realizing data exchange and interaction between the teaching platform and an existing information system of a hospital. The system has the advantages of complete functions, closed-loop data and accurate intelligent evaluation, and can effectively improve the standardization, practicability and intelligent level of nursing education.

A system for generating a putter fitting recommendation includes a processor; and a memory storing instructions that, when executed by the processor, cause the processor to perform operations including: receiving ball shot data for each of at least one putt, the ball shot data including path angle data and at least one of ball speed data or path length data, generating, based on the ball shot data, at least one simulated ball shot data, the simulated ball shot data including simulated path angle data and at least one of simulated ball speed data or simulated path length data; plotting at least one simulated putt onto a virtual hole respectively based on the at least one simulated ball shot data; determining, for each of the at least one simulated putt, simulated shot-made data; and generating, based on the simulated putt and simulated shot-made data, a putter fitting recommendation.

The invention relates to the technical field of ceramic teaching, in particular to a handmade ceramic teaching system applying a visual sensor and a use method thereof, and the system comprises a visual perception module, a data processing module, an interaction guidance module, a process knowledge base and terminal equipment integrating the above modules. The method is suitable for scenes such as ceramic technology teaching, ceramic art training and non-inheritance, and aims to improve understanding and operation normalization of learners on the handmade ceramic manufacturing process through intelligent perception and interaction technologies.

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.

A method for adaptive user training and gaming utilizing a media player is disclosed that includes acquiring images from cameras surrounding a training environment and attempting to segment a ball and a human in each of the images, wherein when failing to segment either the ball or the human in a first image, the first image is rejected from further processing. The operations additionally include creating masks of the ball and the human, extracting features for both the ball and the human in each of the remaining images, and computing surface information of the training environment using photoclinometry. For each of the remaining images, the operations includes computing a distance between the ball and the human. Additionally, the operations include identifying an image having the greatest distance between the ball and the human and computing a three-dimensional topography from the identified image.

The invention discloses a speech training method and system based on artificial intelligence and application, and relates to the field of speech training, and the method comprises the steps: obtaining multi-modal data in real time when a user reads each training statement in each speech training process; obtaining a real-time multi-dimensional speech evaluation result according to the multi-modal data, and judging whether a next training statement exists in a speech training scheme in each speech training process or not; if not, generating a multi-dimensional speech evaluation result of each speech training process; if yes, the difficulty of the next training statement in the speech training scheme is adaptively and dynamically adjusted according to the real-time multi-dimensional speech evaluation result; and outputting the next training statement according to the adjusted speech training scheme, and repeating the steps until the next training statement does not exist in each speech training. The speech training scheme can be adaptively adjusted in real time in the speech training process, and the user experience, the participation degree and the training effect are remarkably improved.

A method may include obtaining, at a system, audio during a communication session that includes a first device and a second device. In these and other embodiments, the audio may originate at the second device. The method may further include selecting, automatically and independently by the system based on one or more features of the communication session, a first translation process instead of a second translation process to translate between sign language and language data during the communication session. The method may also include using the selected one of the first translation process and the second translation process to generate a video that includes sign language content based on the audio.