40 results about "Skills training" patented technology

This invention relates to the field of intelligent education technology and discloses a tiered training method for editing skills based on deep learning. The method includes: constructing a training course library containing course units; using the course unit as the smallest learning unit, and based on the pre-dependencies of the course units, collecting real-time interactive operation data of learners to construct multi-dimensional feature vectors for learners; inputting the multi-dimensional feature vectors into a trained deep neural network model to output the learner's current assessed comprehensive course ability index; using a clustering method to divide all learners into three levels: basic, intermediate, and advanced; associating each level with a subset of course units, obtaining the matching degree between each learner's current assessed comprehensive course ability index and the difficulty coefficient, and generating a personalized course learning path recommendation for each learner. This invention achieves tiered training for learners' editing skills.

This application relates to a method and system for training neurosurgical specialist nurses based on a virtual teaching and research room. The method includes: acquiring patient data and clinical scenario parameters corresponding to preset neurosurgical training tasks from a medical database; constructing a virtual training environment using virtual simulation technology based on the patient data and clinical scenario parameters; collecting user interaction behavior data in real time through a sensor network deployed in the environment; analyzing the behavior data in real time and driving the virtual environment to generate real-time feedback effects; identifying key operation points using a pre-trained LSTM analysis model based on the behavior data and feedback effects; and generating a training feedback report based on the key operation points. This method can improve the realism of neurosurgical specialist nurses' operations in the virtual environment, the assessability of the training process, and the real-time nature of feedback, effectively assisting in professional skills training and assessment.

The application discloses a kind of humanoid robot motor skills training methods based on body-object-environment relationship modeling.First, the reference motion data of target motor skills and interactive object, environment state data are obtained;During the training process, the body-object, body-environment, object-environment relationship characteristics and contact state are calculated based on the robot ontology, object and environment state, and the relationship enhanced state representation is constructed;Input it into the adversarial discriminant network to generate the adversarial reward representing the naturalness of action and the consistency of interaction;Finally, the adversarial reward, task, stability and safety reward are fused, and the control strategy is trained based on reinforcement learning.Compared with existing methods, the application explicitly learns the interaction relationship, reduces the complexity of reward engineering, improves the naturalness of movement, the rationality of interaction and the environmental adaptability, and is suitable for whole-body interaction tasks such as carrying, supporting and obstacle crossing.

This invention discloses a training device for fire protection installation skills, belonging to the field of fire protection training technology. It includes a training cabinet, which is a hollow rectangular box. Multiple sets of sensors are fixedly installed at the front end of the cabinet using screws. Cable slots are provided on both sides of the cabinet at the corresponding sensor positions. The sensors can be quickly disassembled and fixed using modular components. Tightening the screws moves the abutment block, causing the first pull rod to pull the clamping arms closer together along the first guide rod. The triangular clamping blocks on the clamping arms can accommodate screws of different sizes, improving clamping force and compatibility. Simultaneously, a first compression spring automatically resets the abutment rod and clamping arms. Loosening the screws completes sensor disassembly without manual reset, simplifying the operation process and meeting the training needs of repeated disassembly and assembly. This allows trainees to efficiently practice sensor installation and fixing operations, closely matching actual fire protection installation scenarios and improving the practicality and efficiency of the training.

This invention belongs to the field of medical teaching aids technology, specifically a cardiopulmonary resuscitation (CPR) first aid skills training device, including a head training module, a neck connection module, a chest training module, a base platform, and a control module. The head module includes a head shell, a simulated oral cavity, an angle sliding shaft, and a sensing unit. The neck module is equipped with an automatic closing device to achieve coordinated airway opening and closing. The chest module incorporates a compression simulation unit, a vibration module, and electrode pressure pads. The control module coordinates data transmission and feedback from all units. This invention solves the problems of existing CPR training devices, such as limited functionality, inaccurate operation detection, unrealistic scenario simulation, delayed feedback, and scattered assessment data. These devices fail to provide comprehensive error correction guidance for trainees, struggle to recreate realistic scenarios such as airway obstruction and insufficient ventilation, resulting in poor training effectiveness and failing to meet the needs of precise clinical emergency training. This invention achieves accurate capture of the entire operation process, real-time feedback, and standardized assessment, improving the professionalism and practicality of the training.

The invention discloses a practical training system for simulating an electronic belt scale and a control method thereof in the field of practical training systems, and the system comprises a belt mechanism which comprises a belt and a driving device for driving the belt to rotate; the feeding mechanism is used for conveying materials to the belt; the belt is provided with a weighing area used for measuring the weight of materials. One end of the amplification mechanism is connected with the weighing area, and the other end is connected with the weight sensor; the state acquisition unit is used for acquiring the motion state quantity of rotation of the belt; the control unit comprises an input module and a control module; and the input module is also connected with a potentiometer. According to the practical training system for simulating the electronic belt scale, the weighing area is connected with the weight sensor through the amplification mechanism, materials with actual weight do not need to be placed on the belt, the overall size and weight of the system are reduced, the structure is simple, operation is convenient, training guidance and skill practical training work can be met, and the practical training efficiency is improved. And a support is provided for skill improvement of maintenance, technicians and operators.

The application discloses a tennis serving skill training method and a tennis training system, relates to the technical field of tennis, and comprises the following steps: S1, acquiring court data; S2, acquiring serving data of a sports person, comprising the following steps: S21, acquiring three-dimensional coordinate values of a hitting point during serving; S22, acquiring a rotation angle of a racket during a hitting process during serving; S23, acquiring a rotation angular velocity of the racket during serving; S24, acquiring an instantaneous swing speed of the racket during hitting; S3, acquiring a landing point position and a ball speed of each serving in the step S2; S4, repeatedly performing the steps S2 and S3 to acquire multiple groups of serving data; S5, calculating and acquiring a regression equation of landing point deviation, a regression equation of landing point depth and a regression equation of the ball speed; S6, making serving action optimization suggestions by presetting the landing point position and the ball speed and utilizing the regression equations to calculate and compare. The application has the effect that serving skills can be improved through optimization measures of the landing point depth, the landing point deviation and the ball speed during serving.

The present application relates to the technical field of new energy training, and particularly relates to a new energy intelligent training and examination system and method based on cloud rendering, which comprises a cloud rendering hub platform system that generates a computing resource allocation scheme according to virtualized and integrated graph computing resources based on course learning request data uploaded by a student terminal device and a student access terminal type; a post skill training and examination module that generates personalized learning evaluation data containing ability short board positioning according to course interaction data and student learning behavior data of the student in a virtual simulation environment; and a virtual-real fusion module that generates force feedback operation data that is synchronously updated with a real job training scene by fusing the virtual training environment and the real job training scene through a data coupling engine. The present application realizes a new energy intelligent training and examination system that seamlessly fuses virtual and real job scenes, and improves the utilization efficiency and precise allocation of cloud rendering platform resources.

This invention relates to the field of virtual simulation and vocational training technology, specifically an international freight forwarding virtual simulation skills training system. The system includes: a scene construction module providing 3D visualized scenes related to international freight forwarding, multi-role interactive subjects, and standardized business resources; an interactive training module simulating international freight forwarding business processes, where trainees perform corresponding practical operations based on assessment tasks; an adaptive evaluation module collecting trainees' operational behavior data and training process data, and providing multi-dimensional scoring of trainees' operational behavior; an assessment management module defining assessment task configurations and scoring rules, and managing trainees' operational behavior data and assessment results; and a data support module providing data storage, access control, and underlying data support. This invention can improve the efficiency of trainees' international freight forwarding skills conversion and enables quantifiable and traceable training results.

This invention discloses a nursing skills training mold made using 3D printing technology, relating to the technical field of nursing skills training mold making using 3D printing technology, including a head and face module; the head and face module has two nostrils, lip contours, and an oral cavity; a neck and chest module is fixedly connected to the lower side of the head and face module; the neck and chest module has a Y-shaped channel, the two branches of which communicate with the two nostrils and the oral cavity respectively, and the converging end of the Y-shaped channel extends to the lower part of the neck and chest module to form a chest through hole; the bottom of the neck and chest module has a base fixing part; the outer surfaces of the head and face module and the neck and chest module are covered with a skin simulation layer; the mold is formed using 3D printing technology, with a material cost of ≤50 yuan, and the mold can be printed at low cost using a 3D printer, thereby significantly reducing training costs and improving resource accessibility.

Artificial intelligence-based systems and methods for learning management are described.

This invention discloses a teaching demonstration and interactive method and system for gastrointestinal endoscopy. The method includes: acquiring continuous video streams and keyframe image data of a trainee operating a simulated gastrointestinal endoscopy procedure using an image acquisition device; performing temporal analysis and feature extraction on the continuous video streams and keyframe image data to identify action deviations and delayed steps between the trainee's operating techniques and the standard procedure; generating augmented reality error correction guidance content that integrates real-time video footage based on the action deviations and delayed steps; overlaying the augmented reality error correction guidance content onto the display interface corresponding to the trainee's operating field of view in real time; and adaptively adjusting the presentation intensity and prompting rhythm of the augmented reality error correction guidance content based on real-time video image feedback from the trainee's subsequent operations. Using this invention, objective evaluation, immediate feedback, and personalized guidance of the trainee's operation process can be achieved, improving the standardization, teaching efficiency, and safety of gastrointestinal endoscopy skills training.

The application provides a vocational education and skill training management method and system based on integration of production and teaching, and the method comprises the following steps: constructing a skill unit model, splitting the training target into skill units which can be independently determined and defining the preposition relationship, the examination index and the skill achievement state; collecting the training / examination results in the process of teaching, practical training or enterprise practice to generate skill evidence records containing student identification, skill unit identification, result value and time stamp. The application continuously integrates the training results, stage examination and ability formation of students in the training process into the system operation logic by the skill achievement state, so that the students are no longer regarded as static individuals, but are dynamically managed based on the skill unit state change, so that the post participation determination is consistent with the actual skill formation process of the students, and the situation that the post allocation result is long-term solidified and is out of touch with the skill progress is avoided.

This invention relates to the field of data retrieval technology, specifically disclosing a database-based method for rapid retrieval of skills learning data, comprising the following steps: S1: Preset a retrieval period, statistically analyze the types, occurrences, and frequencies of retrieval fields within the period, and stop if the threshold is not met; S2: Construct binary retrieval field combinations, calculate the frequency and correlation coefficient of each combination field; S3: Single-field retrieval matches initial courses, calculates popularity based on the number of enrollees and collections, and sorts them; S4: Divide primary and secondary fields to correct popularity, sort and filter popular courses, and establish a connection between combinations and courses; S5: Prioritize displaying related popular courses, continuously update the period, and repeat the process after decomposing multi-field combinations. This method can improve retrieval accuracy and efficiency, ensure course timeliness and recommendation quality, adapt to the needs of skills training platforms, optimize resource allocation, and enhance the platform's core competitiveness.

This application relates to the fields of artificial intelligence and education technology, and in particular to a user-based intelligent teaching analysis method, device, and medium based on a large-scale user action graph model. The method includes: responding to the execution of a teaching task; acquiring and determining semantic anchors based on multimodal interaction data generated by the user; obtaining an aligned multimodal data stream based on the semantic anchors; acquiring a first feature set from the multimodal data stream and analyzing it to obtain a second feature set; determining dynamic weight coefficients and processing the second feature set to obtain a third feature set; constructing a user action graph topology based on the first, second, and third feature sets and calculating similarity; determining branch diagnosis results based on the similarity and the third feature set and generating action improvement suggestions; and associating the action improvement suggestions with the user action graph topology to generate a user analysis report. This application has the effect of improving the accuracy of user action diagnosis and enhancing the precision of teaching feedback during skills training.

This invention discloses a multimodal AI-driven adaptive vocational skills training platform, primarily relating to the fields of vocational skills training and adaptive learning. It includes: a multimodal data acquisition unit for collecting multimodal data from trainees; a skills profile construction unit for generating proficiency profiles of trainees across various skills dimensions based on a multimodal fusion model; an adaptive path generation unit for generating personalized training paths based on the skills profiles using reinforcement learning algorithms; a training interaction unit for executing the training paths and collecting interaction data; and a dynamic evaluation and adjustment unit for evaluating learning effectiveness and dynamically adjusting the training paths. The beneficial effects of this invention are: it achieves accurate profiling of trainees' skill levels and real-time dynamic adjustment of training paths, significantly improving the personalization and intelligence of vocational skills training through multimodal data fusion and reinforcement learning.

This invention discloses an insulin pen usage skills training device, relating to the field of insulin injection technology. It includes a base, a rotating seat, and a support plate. The rotating seat is fixedly connected to one side of the top of the base, and the support plate is connected inside the rotating seat. A fixed seat is installed in the middle of the top of the support plate, and the insulin pen body is connected inside the fixed seat. A groove is formed in the middle of the support plate, and a positioning seat is connected inside the groove. A worktable is fixedly connected to the middle of the outer wall of the positioning seat, and a silicone simulated skin is connected to the top of the worktable. A rack is fixedly connected to one side of the top of the worktable, and a gear is meshed with the outer wall of the rack. A rotating column is fixedly connected to the middle of the gear. This invention discloses an insulin pen usage skills training device that uses silicone simulated skin to replace human skin, preventing risks such as skin scratches and accidental injection of medication due to operator errors.

The application discloses a post skill intelligent coaching method and system based on multi-type occupation memory and cognitive load adaptation, and belongs to the technical field of artificial intelligence and occupation development management. In view of the problems that occupation memory modeling is rough, cognitive load regulation is disengaged from occupation learning, and post standard time prediction lacks individualization in the prior art, the application comprises the following steps: constructing three types of occupation memory units of learning, job seeking and interview and aggregating the memory units into a memory scene; evaluating memory value based on usage degree, time freshness, result influence degree and scene status, and adaptively adjusting the importance of the memory scene; calculating internal, external and related cognitive loads according to a user cognitive state and a task model, and generating personalized task difficulty configuration parameters; calculating an ability gap and a growth speed according to target post ability requirements and concept mastery degree, and predicting post ability standard time; generating post learning micro tasks according to the knowledge gap, and combining user feedback to form a closed loop of writing back memory. The application provides personalized, high-precision post skill training and standard time prediction services for users.

This invention relates to the field of autism spectrum disorder technology, specifically to a personalized social skills training system for autism, comprising a multimodal data acquisition module, a personalized cognitive state assessment module, a parameterized social scenario generation module, an adaptive decision control module, and a closed-loop neural modulation module. The system synchronously acquires the user's electroencephalogram (EEG), eye movements, and other physiological signals, calculates quantitative indicators such as the cognitive load index in real time, and dynamically generates adjustment instructions for the difficulty parameters of virtual social scenarios using methods such as model predictive control, so as to match the training task with the user's real-time cognitive load. Simultaneously, the system can trigger non-invasive brain stimulation synchronized with the user's own EEG phase when specific neural oscillation characteristics are detected. This invention achieves personalized, adaptive social skills training based on real-time feedback of intrinsic physiological state, and also possesses the ability to target and modulate abnormal neural activity patterns.

This invention relates to the field of computer-aided skills training program analysis technology, and more particularly to a method and system for evaluating training programs for maintenance technicians. It includes the following steps: S1: Based on the leap characteristics of trainees' cognitive structures during the formation of maintenance skills, the training program is divided into N consecutive stages with capability qualitative change points as boundaries; S2: At the capability qualitative change boundaries of adjacent consecutive stages, based on the degree of influence of the baseline cognitive unit corresponding to the boundary on subsequent consecutive stages, data variation acting on a single observable parameter is constructed; S3: Based on the matching results of the constraint relationship between the single observable parameter involved in the data variation and the associated unvaried observable parameter, logical conflicts acting on trainees are generated. This invention quantifies cognitive stability through staged training and data variation, and transforms diagnostic strategies into behavioral biases by combining conflict experiments, significantly improving the accuracy of higher-order thinking assessment and attribution reliability in maintenance skills training.

This invention discloses a method, device, and medium for flight skill training based on embodied robots, relating to the field of flight training technology. The method includes: performing manipulation correction and convergence teaching analysis on embodied flight training time-series data; determining the current flight training stage through stage anchor point convergence to generate a training stage determination map; generating state change characterization indicators based on the training stage determination map and embodied flight training time-series data through continuous quantitative evaluation; identifying unstable intervals of control strategies during flight training based on the state change characterization indicators; and selecting and executing embodied manipulation based on the uncertain intervals of strategy switching using a state change continuous control strategy selection algorithm, generating a flight skill training evaluation report. This invention improves the stability, relevance, and reliability of flight skill training and evaluation by temporally correlating flight state data and embodied manipulation data.

The application belongs to the technical field of airflow control, and discloses a skill training evaluation and data management system based on airflow control capability, which comprises a data acquisition module: constructing an airflow control sequence set and extracting intensity peak points, stability fluctuation points and rhythm turning points as an initial airflow feature point set; performing time sequence hierarchical division and generating a cross-layer association chain through a layer-by-layer accumulation method to obtain a time sequence association vector; performing capability migration mapping on multiple training sessions, introducing a migration offset coefficient for adjustment to generate a capability evolution path, and marking key turning nodes in the path; performing dimension integration operation and dynamically setting an integration granularity threshold according to the number of training sessions; constructing a learner's exclusive data management archive based on the integration index set, archiving the capability evolution path and the integration index set in time sequence order, setting an archive access key and enabling a cross-session query interface; and greatly improving the convenience of data management.

The application discloses a kind of for underwater simulation training device, the training cabin of underwater simulation training device includes cabin body and detachably arranged in the bulkhead of cabin body, bulkhead is divided into first cabin and second cabin by cabin body.First cabin and second cabin are respectively arranged in escape and rescue training component and plugging training component, can satisfy in the same training cabin through escape and rescue training component realizes escape skill training and rescue skill training, through plugging training component realizes plugging skill training.Lifting rig connected with training cabin and connected with hoisting equipment can then lift training cabin to realize the water entry and water exit of underwater simulation training device, realize corresponding skill training in training cabin underwater.The skills that underwater simulation training device can train are more, and the overall use flexibility is higher.

1. The name of the design product: electrical control point inspection training and examination device. 2. The use of the design product: for college or electrical practitioners point inspection skill training teaching and practical skill evaluation. 3. The design points of the design product: in the perspective view. 4. The picture or photo that best indicates the design points: perspective view.

This invention relates to the fields of virtual reality, digital twins, and artificial intelligence, and provides a method for optimizing fall prevention VR training strategies using digital twin-driven two-layer reinforcement learning. To address the safety concerns in existing fall prevention VR training, this method constructs a pre-trained digital twin environment and a user behavior simulation model, combining real-time multimodal data to generate user state vectors. A two-layer reinforcement learning architecture is then employed, where a strategy optimization generator produces a VR training strategy parameter set based on simulated performance characteristics, and safety verification and optimization are performed through simulation prediction. The optimized VR training strategy parameter set is deployed to a VR training terminal for training, using training feedback data to update the corresponding model, forming a dynamic adaptive optimization closed loop. By achieving personalized strategy generation and pre-verification of safety, this method significantly improves the safety and dynamic adaptability of fall prevention VR training, and can be applied to scenarios such as fall prevention for the elderly and motor skills training.

1. Name of this design product: Motorcycle slalom pole. 2. Purpose of this design: This design is used for motorcycle skills training devices. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention relates to the fields of medical ultrasound simulation, medical image processing, and computer-aided medical teaching and training. Specifically, it relates to a real-time ultrasound simulation method based on echo event maps and spatiotemporal coherent speckle field reconstruction. This invention constructs a three-dimensional tissue acoustic parameter field, establishes a probe transmit / receive beam model and echo event map, and physically models boundary echoes and volume scattering echoes respectively. It introduces a spatiotemporal coherent speckle field to constrain the continuous evolution of speckle, eliminating speckle jumps and flicker during continuous scanning. It simulates shadows and post-enhancement effects through an artifact modulation model, and generates highly realistic ultrasound images through RF signal synthesis, system response processing, logarithmic compression, and scan transformation. This effectively meets the high-simulation requirements of medical ultrasound teaching and skills training.

This invention belongs to the field of skills training technology, specifically relating to a method, system, and terminal for generating employment skills learning paths based on machine question answering. It includes generating an initial formal learning path; and dynamically adjusting the learning path in response to the detection that the user's current learning progress duration is less than the learning termination condition set for the formal learning path. The dynamic adjustment of the learning path includes determining a learning bias direction based on the user's answer records in the formal learning path; and selecting supplementary learning content from a preset set of learning content based on the learning bias direction to update the formal learning path. This invention enhances the personalization of the path by evaluating the user's historical answer process and learning status parameters, achieves iterative optimization of the path through closed-loop feedback of adjusting a second preset model based on recommendation accuracy scores, and ensures the integrity of learning through dynamic adjustment of the learning path, thereby improving the accuracy of learning content recommendations and the overall learning effect.

This invention relates to the field of beauty skills training equipment technology, and particularly to a beauty skills training system and implementation method based on tiered instruction. The system includes a calibration module for acquiring peak electromyographic (EMG) signal benchmarks under maximal voluntary contraction and resting EMG signal benchmarks under resting posture; a storage module for pre-storing target pressure curve templates corresponding to each skill level; an acquisition module for real-time acquisition of current pressure value sequences for the fingertips and current EMG signal sequences for the back of the hand muscles; an analysis module for generating pressure execution deviation rates and current muscle activation characteristic values; a judgment module for generating skill level adjustment instructions based on a comprehensive judgment of whether the pressure execution deviation rate and current muscle activation characteristic values ​​exceed a preset high-efficiency force exertion range; and a guidance module for generating transcutaneous electrical stimulation signals when pressure is insufficient and muscle activation patterns are abnormal. This achieves quantitative assessment and precise tiering of the force exertion process in beauty manipulation training.

The present application relates to the field of industrial virtual reality, and in particular to a virtual reality factory system with force haptics enhancement, which comprises a high-performance computer, a VR headset, a spatial locator, a force feedback controller and a virtual-real interaction unit. The virtual-real interaction unit comprises a VR factory scene, a visual module and a haptic module. Based on spatial positioning, an engineer operates various virtual object models in the VR factory scene through 3D vision provided by the VR headset and haptics provided by the force feedback controller, obtains various force haptics feedback such as friction and gravity, perceives the physical properties of the objects, and performs actions such as touching, moving and grabbing. The present application can provide multi-dimensional perception of "sight, touch and hearing", support immersive operation of the engineer on the VR factory scene, and can be used for future factory applications such as skill training, fault diagnosis and operation in complex and dangerous environments.