7130results about "Teaching apparatus" patented technology

The present invention provides a deep learning-based natural language understanding method and an intelligent teaching assistant system. First, it involves constructing a knowledge database and a question database, where learning material documents are saved into the knowledge database and preprocessed natural language information is saved into the question database. The method then involves learning and understanding the natural language information in the question database, searching for related knowledge points in the knowledge database based on the understood content, selecting the best-matched learning materials corresponding to these knowledge points as samples to respond to the natural language information, and generating a record that includes the question, response, and evaluation, which is saved into the knowledge database. Finally, it generates multiple forms of responses and outputs them according to the corresponding requirements.

Provide a system. [Solution] A system including: a means for utilizing generative AI to provide information that serves as an alternative to vision; a means for accessing the AI ​​via a smart device or headset; a means for acquiring environmental information in real time; a means for recognizing surrounding objects and people; and a means for conveying information in the form of voice, audio messages, haptic feedback, etc.

An golf tournament simulation method may include generating predicted hole scores for each hole of each round of a golf tournament. Historical shot data corresponding to a historical occurrence of one or more hole events may be utilized as weight to generate predicted outcomes of hole events for each hole. A score probability distribution may be assigned to the predicted outcomes to generate predicted hole scores. Simulations may be analyzed for predicted outcome probabilities such as win probability, cutline, or Top-10 finish probability. The simulations may be updated during actual play by replacing predicted scores with actual scores. Predicted outcome probabilities may be updated based on the updated simulations updated to include the actual scores.

Technical solutions are directed to creation and deployment of multi-stage test problems. A processor can provide, to a client, a first data structure for a first stage of a multi-stage test problem including a description for generation of a client solution for the first stage and a test case to evaluate the client solution. The processor can receive, from the client, a client data structure comprising the client solution including a client computer code generated at the client for the first stage. The processor can determine, by evaluating the client solution using an input value and an output value of the test case, that the output of the client solution satisfies a validity condition of the output value. The processor can provide, to the client, based on satisfying the validity condition, a second data structures for a second stage of the multi-stage test problem.

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.

A control unit for an aircraft capable of hovering or for a flight simulation system of the aircraft is described; the control unit is programmed to:receive in input a plurality of data associated with equipment and / or kits actually installed or simulated on the aircraft and / or with the operating configuration of the equipment and / or kits; the equipment and / or kits causing a reduction of the actual or simulated forward velocity of the aircraft;store a table defining a correspondence between each datum and a respective value of a first signal associated with a value of maximum forward velocity of the aircraft; anddisplay the lowest of the first signals.

Systems and techniques for customized context-sensitive interfacing are described. In some examples, a content processing system receives a string of text through a user interface. The user interface is part of a video game. The content processing system receives context associated with the video game. The content processing system analyzes the string of text in light of the context to generate an evaluation of the string of text. The content processing system outputs the evaluation of the string of text in the video game.

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.

A control unit for an aircraft capable of hovering or for a flight simulation system of the aircraft is described, the control unit is programmed to receive at input at least a first signal associated with real or simulated flight parameters of the aircraft and to provide at output a second signal associated with a forward velocity to never exceed of the aircraft; the control unit is programmed to process a third signal associated with an actual or simulated weight of the aircraft; to associate plurality of tables to respective intervals of values of the third signal; each table associating a plurality of values of the second signal with a respective first signal; and to process the second signal, based on the table associated with the relative interval of the third signal and the respective first signals.

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.

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.

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.

A method for generating predictive and event-based action recommendations includes receiving, from at least one data source, input data representative of a user; generating, using a first machine learning model, a user behavior pattern for the user based on the input data representative of the user; classifying the user behavior pattern based on one or more personas representative of user characteristics; identifying, based on at least the input data and the one or more personas, an inefficiency in the user behavior pattern impacting a goal of the user; and generating, using a second machine learning model, a personalized recommendation for the user to remediate the inefficiency.

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.

Disclosed embodiments may include a method for generating meal recommendations by receiving first data and user input data. The system may generate a food profile and estimate of ingredients based on the first data and the user input data. The system may generate, based on the estimate of ingredients, one or more cooking instructions or an output that the user does not have sufficient ingredients. If cooking instructions are generated, the system may generate and transmit a graphical user interface comprising the one or more cooking instructions based on the estimate of ingredients for display. If it is determined the user does not have sufficient ingredients, the system may generate and transmit a graphical user interface comprising one or more dining options for the user for display.

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.

A system for AI-based analysis of student behavior, consisting of: a variety of data collection devices, including cameras, microphones and wearable sensors; a central processing unit (CPU) that is communicatively connected to the data acquisition devices; and a behavioral analysis engine, wherein: (a) the cameras are configured to capture visual data indicating student behavior, including facial expressions, body language and eye movements, with the captured visual data being processed using computer vision techniques to detect certain emotional and engagement-related indicators such as stress, boredom, attention or excitement; (b) the microphones are configured to capture audio data, including speech patterns, tone of voice, volume and level of participation, the captured audio data being processed using natural language processing (NLP) techniques to assess the mood, engagement and verbal participation of students in classroom activities; (c) the wearable sensors are configured to collect biometric data, including heart rate, skin temperature and movement, with the biometric data being analyzed to detect physiological signs of emotional stress, fatigue or engagement; (d) The behavioral analysis engine is configured to process the captured visual, auditory, and biometric data in real time to create a behavioral profile of each student. It uses machine learning models to correlate certain patterns with academic performance, emotional well-being, and social engagement. (e) the system is also configured to create predictive models based on historical data to identify pupils at risk of declining performance, social isolation or emotional distress, and to send alerts to teachers, counselors or the administration to enable timely intervention to address the identified problems.

A computer system for metaverse digital accessibility can include one or more processors and non-transitory computer-readable storage media encoding instructions which, when executed by the one or more processors, causes the computer system to create an accessibility characteristics engine programmed to receive one or more accessibility characteristics associated with a user, an environment engine programmed to generate an environment for an avatar associated with the user based on the received one or more accessibility characteristic, and an accessibility support engine programmed to provide an accessibility aide to the avatar associated with the user.

According to an embodiment, it is a system comprising, an information system of a vehicle operable to present step-by-step instructions to guide a user for installation of a child safety seat and a processor operatively connected to the information system operable to control a display of the step-by-step instructions, wherein the processor is operable to, recognize, via a sensor, a make, and a model of the child safety seat, generate a digital model of the child safety seat on the information system of the vehicle, and display the step-by-step instructions for the installation of the child safety seat.

To provide a learning support system capable of sustaining or upgrading a learning enthusiasm of a pupil who is relatively bad at learning.SOLUTION: A learning support system in accordance with an embodiment of the present disclosure includes: message generation means that generates a message to be sent from a learning support person C to a learner; message transmission control means for executing control to transmit a message generated by the message generation means to a learner; memory means that stores message adjustment information G14 which adjusts the contents of a message for each learner; and adjustment information upgrade means that upgrades the message adjustment information G14 on the basis of a learner's degree of upgrade in learning. The message generation means generates a message on the basis of the message adjustment information G14 upgraded by the adjustment information upgrade means.SELECTED DRAWING: Figure 6

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.

A player monitoring system for compensating for network delays comprises a server that is configured to receive sensor data from multiple sensors at dispersed locations. In some embodiments, a server is configured to determine a delay associated with one network path carrying sensor data to the server and a delay associated with another network path carrying sensor data to the server. Based on the delays, the server is configured to synchronize events detected by the sensors at the dispersed location, thereby permitting more precise and accurate gameplay decisions for a dispersed sporting event.

This disclosure and exemplary embodiments described herein provide a Parallel Content Authoring Method and Tool for Procedural Guidance, and a Remote Expert Method and System Utilizing Quantitative Quality Assurance in Mixed Reality. The implementation described herein is related to the generation of content / instruction set that can be viewed in different modalities, including but not limited to mixed reality, VR, audio text, however it is to be understood that the scope of this disclosure is not limited to such application.

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.

Disclosed are a racing simulation device and algorithm based on a high precision and high response torque closed loop. The racing simulation device includes a quick release module, a motor module, a sensing module and a sleeve. One end of the motor module is connected to the sensing module; a connecting seat is disposed at one end of the sleeve, one end of the connecting seat is connected to the sleeve, and the other end of the connecting seat is disposed inside the quick release module; one end of the quick release module is connected to a steering wheel; the torque closed loop adopts incremental PI adjustment output, which is accumulated with torque feedforward to output a given current, and current amplitude is limited, so an entire torque is closed to form a double-closed-loop form in combination with a current closed loop, and torque precision control is further improved.

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.