35 results about "Training assessment" patented technology

The invention relates to the technical field of flight training evaluation, and discloses an electroencephalogram feature and physiological index fused flight training evaluation system. The system comprises a physiological signal acquisition module which synchronously captures multichannel electroencephalogram original signals and body surface physiological index data, and the body surface physiological index data comprises an electrocardiograph R-R interval sequence, respiratory wave frequency amplitude and galvanic skin response amplitude; the multi-modal fusion module is used for analyzing an electrocardiograph R-R interval sequence to generate a heart rate variability feature vector and establishing dynamic association mapping of an electroencephalogram entropy value and a physiological feature vector; the cognitive state modeling module is used for generating a cognitive load index according to the dynamic association mapping and constructing a cognitive stability quantization matrix; the self-adaptive feedback module is used for receiving related data and dynamically adjusting simulated flight scene parameters; and the evaluation output module is used for integrating the data to generate a comprehensive training evaluation report containing a neurophysiological coordination degree score and an operation accuracy rating. According to the system, comprehensive evaluation and dynamic training adjustment of the cognitive state of the pilot are realized.

The invention relates to the technical field of employee training, and discloses an artificial intelligence-based employee training assessment method, device and equipment, and the method comprises the steps: obtaining the basic data, work behavior data and historical training data of an employee, carrying out the fusion of all data, and constructing a multi-dimensional employee portrait; based on the performance goals, determining training goals of the employees, and generating personalized training contents; a knowledge system is constructed according to personalized training content, real-time knowledge recommendation is performed in actual work, and a practice result is recorded; generating personalized assessment content for intelligent assessment to obtain an assessment result; and evaluating the employee training effect according to the practice result and the assessment result. The employee portrait is constructed through multi-source data fusion, accurate mapping from performance goals to personalized training is achieved, the matching degree of training content and employee ability short boards is improved, the knowledge conversion efficiency is enhanced, closed-loop management is formed in combination with real-time knowledge recommendation and scene practice, and the talent training efficiency is improved.

The invention relates to the technical field of accounting training, in particular to a financial training assessment management system based on a cloud platform, and the system comprises a data acquisition module which is used for obtaining the exercise assessment data of each student in a financial training course from a cloud server in real time; the financial training module is used for carrying out financial training on each trainee through the adjusted trainee financial training scheme; the examination and evaluation module is used for carrying out examination and evaluation on each student according to the financial training result and the multi-dimensional analysis result; and the cloud control module is used for feeding back a financial training instruction to the financial training module through the examination and evaluation result, and controlling the financial training module to feed back financial training suggestions to the trainees through the financial training instruction. The financial knowledge level condition of the training object can be analyzed, the requirements of different learners are effectively met, and then the actual effect of financial training is improved.

The invention relates to the technical field of assessment management, and discloses a police physical training assessment management system which comprises a training data acquisition module, a correlation analysis module, a feature extraction module, a model training module and a training scheme generation module. The method comprises the steps of obtaining data relevance, determining strong relevance data according to the data relevance, performing feature extraction on the strong relevance data to obtain data features of the strong relevance data, and determining data tags of the data features according to assessment score data. Performing model training on a pre-constructed portrait model according to the data features, the data labels and a preset multi-task loss function to obtain a trained portrait model, generating a physical ability hologram of the police according to the trained portrait model, and generating a training scheme of the police according to the physical ability hologram, physical training is carried out on the police according to the training scheme, and the physical training assessment management efficiency of the police is improved.

The invention provides a construction site safety training management and control method and system based on behavior recognition, and belongs to the technical field of construction safety training management and control. According to the invention, training legality is ensured based on dual authentication of keynote speaker biological feature verification and trainee historical record determination; synchronously acquiring voice transcription content with a time label and a head lowering and eye closing illegal behavior monitored in real time through a time sequence binding technology; according to the training text, dynamically generating examination question push examination containing counter example interference; generating an authority decision by adopting a triple verification mechanism of answer correct rate benchmark screening, answer question corresponding time period behavior concentration degree verification and trained state mark comparison; and finally, triggering an access control passing green light lightening instruction or intercepting a red light lightening alarm instruction in a second level, synchronously generating a targeted complementary training task binding an original teaching fragment and a real-time behavior record for forced learning, solving the problems of training assessment failure, cheating loopholes and control lag, and realizing real-time conversion of safety training effectiveness to a high-risk area physical authority to form a closed loop.

A computing device receives a trained computer model. A computing device obtains a selection of an assessment type. The assessment type comprises more than one component for determining an overall assessment of the trained computer model according to the assessment type. The computing device generates, responsive to receiving the trained computer model, an overall training assessment of the trained computer model according to the assessment type. For example, the computing device can generate by obtaining multiple component assessments. The multiple component assessments comprise at least one assessment for each of the more than one components for determining the overall assessment. The computing device can generate by generating the overall training assessment based on the multiple component assessments. The computing device generates a graphical representation comprising visual representation of both the overall training assessment and the multiple component assessments. The computing device displays the graphical representation in a model card visualization.

A computer implemented system and method for analyzing gameplay files to provide a training assessment. The system includes an input module to receive a raw replay file from a game, game platform, or user and provide the raw replay file to a parsing module. The parsing module is configured to parse each raw replay file and classify the parsed replay file as any event type indicated by feature data of the parsed replay file. Where the parsed replay file is classified as at least one event type, the parsing module saves the parsed replay file in an event dataset. The parsing module extracts game events from the parsed replay file and saves the game events in an event table schema. The input module may be integrated into a backend of a game or a game platform. The system may include a training assessment module configured to generate the training assessment.

The invention belongs to the technical field of tactical training, and discloses a police affair technique and tactical training assessment method and system, comprising an assessment system and an assessment method. According to the comprehensive police technology and tactics training assessment system, multiple dimensions from basic skills to complex tactics application and theoretical knowledge are covered, comprehensive assessment of police training results is ensured, the actual performance of the police in training can be accurately mastered through multiple data acquisition modes and advanced data analysis technologies, and the training efficiency of the police is improved. According to the system, the problems in action skills can be found, potential factors influencing the training effect can be deeply mined, data support is provided for targeted training improvement, a large number of standards, cases and training data are stored in the rich database module, rich reference data are provided for training, assessment and subsequent analysis, and the system is suitable for popularization and application. The police officer can learn and reference excellent cases, and practical application and operation are facilitated.

The invention relates to a nurse standardized training examination evaluation system and method based on big data. The system comprises a training module used for collecting training data in a nurse standardized training process and evaluating the training data to obtain a nurse standardized training evaluation coefficient Q1; the assessment module is used for collecting assessment data in the nurse standardized assessment process and evaluating the assessment data to obtain a nurse standardized assessment evaluation coefficient Q2; and the analysis and calculation module is used for calculating a nurse standardized training examination evaluation result Q according to the nurse standardized training evaluation coefficient Q1 and the nurse standardized examination evaluation coefficient Q2. According to the method and the device, the technical effects of performing standardized statistical calculation on various training examination items and performing comprehensive evaluation are realized, so that the technical problems that nurse training examination is not comprehensive and standardized statistics cannot be performed in the prior art are solved.

A ball sports training method and a ball sports training system. The method comprises: during the process of a training object engaging in ball sports, acquiring a plurality of sports scene images collected by means of an image collection apparatus, and a collection time of each sports scene image; on the basis of the plurality of sports scene images and the collection time of each sports scene image, determining hitting response information of the training object, wherein the hitting response information comprises at least one of hitting implementation information, related-hitting-position information, hitting response time information and hitting speed information; and on the basis of the hitting response information, determining training assessment information for the training object, wherein the training assessment information comprises assessment information about the sports performance of the training object and / or assessment information about the physical health status of the training object. Therefore, the objectivity, accuracy, high efficiency and professionalism of ball sports training are improved, and the labor costs are reduced; and when the solution is applied to rehabilitation training, the effect of rehabilitation training can be significantly improved.

This invention discloses a neonatal care assessment method based on image and dry / wet colorimetric fusion judgment, belonging to the field of standardized neonatal care training and intelligent assessment technology. The method includes constructing a drying training carrier based on a neonatal simulator and a reversible water-induced color-changing film. Instructors use this carrier to teach drying techniques and obtain teaching standards. Training video data of trainees is acquired and matched in real-time with the teaching standards to obtain substandard operation data and substandard colorimetric data. The substandard operation data and substandard colorimetric data are then matched to determine their correspondence. Based on this correspondence, the trainee's correction data is determined, and an alarm signal is output based on the correction data. Trainee information is acquired, and the trainee's historical correction data is determined based on this information. After the trainee completes the current operation, an early warning is issued based on the historical correction data. This invention improves the accuracy of training assessment results.

The invention discloses a training system for security and secrecy, and relates to the technical field of security and secrecy training systems. According to the training system for security and secrecy, the duration of security and secrecy training of an employee in a training period G + 1 is subjected to timing planning by using the assessment score CJ of security and secrecy training of the employee in the training period G and the active learning duration ZD of the employee reading training data between the training period G and the training period G + 1 for active learning; the training duration of each employee is precisely regulated and controlled, the situation that in a traditional technical scheme, all the employees are trained in a unified duration, the training duration is better matched with the actual situation of the employees, the employee training quality can be more effectively improved, the employees can be reminded to actively learn weak courses during training examination, and the training efficiency is improved. The method can help employees to make up for weak items of assessment, reduces the error rate of the employees in daily work, and improves the safety and confidentiality.

The invention provides a mine disaster emergency escape practical training system, and relates to the technical field of mine practical training. The system comprises a roadway simulation module, a preparation area module, a self-rescuer blind wearing practical training module, a self-rescuer AI visual identification examination system, an examination confirmation module and a self-rescuer training management system. Wherein the roadway simulation module is used for making a simulated roadway environment according to an actual roadway structure and simulating a roadway disaster environment; the preparation area module is positioned in the simulation roadway and is used for identifying and registering reference personnel information; the self-rescuer blind wearing practical training module is located in the simulation roadway and used for reference personnel to carry out self-rescuer wearing practical training; and the assessment confirmation module is located in the simulation roadway and is used for assessing the result of wearing the self-rescuer by the reference personnel, returning the result and time to the self-rescuer training management system, confirming the assessment time and scoring according to the completion time. The system can realize self-rescuer wearing training examination in a simulated disaster environment.

The invention discloses a rolling equipment safety maintenance listing practical training assessment system and a practical training assessment method. The problem that rolling equipment safety maintenance listing operation practical training and assessment are lack of an integrated'three-party confirmation 'process intelligent practical training system is effectively solved. The rolling equipment safety maintenance listing practical training assessment system is formed by arranging the associated operation table, the power distribution cabinet, the rolling equipment and the like, the corresponding practical training assessment method is matched, a three-in-one mode of entity operation, virtual feedback and intelligent management and control is adopted, the forced operation sequence is achieved, the standard process of manual omission is reduced, and the practical training assessment efficiency is improved. The system achieves the dynamic simulation of accident consequences, improves the risk perception enhancement of safety awareness, achieves the automatic scoring and step judgment of a control system, saves the examination time, and improves the training efficiency.

The present invention discloses a practical operation assessment system and method for the secondary circuit of a substation. After a fault is given in the digital power grid, various operations that can be included in the training scenario are carried out one by one in the digital power grid. According to the degree of change in the electrical quantities generated by each operation in the digital power grid and based on the Gaussian fuzzy algorithm, dynamic scoring is performed. Then, the trainee conducts practical operations on the components in the secondary circuit of the substation according to the training fault, forming an operation set for solving the training fault. Based on the scores of each operation, the final score of the training assessment is integrated. The present invention can truly evaluate the ability of the trainee to eliminate faults.

This invention relates to the field of flight training assessment technology and discloses a flight training assessment system that integrates electroencephalogram (EEG) characteristics and physiological indicators. The system includes a physiological signal acquisition module that simultaneously captures multi-channel raw EEG signals and surface physiological indicator data, including ECG R-R interval sequences, respiratory wave frequency and amplitude, and skin conductance response amplitude; a multimodal fusion module that analyzes the ECG R-R interval sequences to generate a heart rate variability feature vector and establishes a dynamic correlation mapping between EEG entropy values ​​and physiological feature vectors; a cognitive state modeling module that generates a cognitive load index based on the dynamic correlation mapping and constructs a cognitive stability quantification matrix; an adaptive feedback module that receives relevant data and dynamically adjusts simulated flight scenario parameters; and an assessment output module that integrates data to generate a comprehensive training assessment report including neurophysiological coordination scores and operational accuracy ratings. This system enables comprehensive assessment and dynamic training adjustment of the pilot's cognitive state.

The invention belongs to the technical field of nuclear power foreign matter prevention training examination, and particularly relates to a device for foreign matter digital museum training. Comprising a VR handle, VR glasses, a motion capture glove, a large display screen, a digital foreign matter museum display training platform, a workstation, a desktop computer and a server. The foreign matter digital museum training device has the beneficial effects that the educational training effect of foreign matter management in the nuclear power industry is effectively improved by establishing the foreign matter digital museum training device. The device integrates a digital display platform, a VR training platform and a training examination background management system, and realizes all-around foreign matter prevention education and practical operation training. Through a vivid three-dimensional scene and immersive experience, employees can intuitively feel the importance and the operation process of foreign matter management, and the safety awareness and the emergency processing capability are enhanced.

This invention belongs to the field of pulmonary rehabilitation training assessment technology, specifically involving a method for postoperative pulmonary rehabilitation training assessment and guidance guided by ultrasound in the lung and diaphragm system. By comparing postoperative parameters with baseline datasets, this invention can identify areas of diaphragmatic movement disorder and abnormal lung ventilation, overcoming the limitations of traditional assessment methods that rely solely on single indicators or subjective symptoms. Based on a sliding window mechanism, it calculates deviations in movement and ventilation parameters and matches them with standardized training parameters, initially establishing a correlation between the training program and the patient's degree of functional impairment. Furthermore, by collecting the patient's adaptation parameters under free training to generate sensitivity coefficients, the standardized training parameters are dynamically corrected until the patient reaches a stable adaptation state. This fully considers individual patient differences and real-time physiological feedback, transforming the training program from standardized to personalized, and achieving real-time quantitative monitoring and guidance of both the diaphragm and lung tissue.

The present invention provides a system for airway management training for healthcare professionals comprising a manikin 1 provided with a plurality of sensors and an electronic controller device 4 co

This application discloses a method and apparatus for assessing breathing training. The method includes: acquiring physiological signals of a target user before, during, and after breathing training, and performing feature extraction and quantification to form feature arrays for pre-training, during-training, and post-training; obtaining normalized resting heart rate and normalized resting respiratory rate of the target user in the current state based on the target user's historical resting heart rate and historical resting respiratory rate; normalizing the feature arrays before and after breathing training based on the target user's current resting heart rate and resting respiratory rate; and performing a breathing training assessment based on the feature arrays during and after breathing training, as well as the normalized feature arrays before and after breathing training. By incorporating resting heart rate and resting respiratory rate into the three parts of the breathing training process (pre-training, during, and post-training), a comprehensive assessment of the entire breathing training cycle is achieved.

The invention discloses a simulation system of a gynecological hemostatic model based on augmented reality, which relates to the field of gynecological hemostatic training and comprises a data acquisition module, a model construction module, an augmented reality display module and an interactive feedback module. The data acquisition module acquires physiological and medical record data of a patient through multiple sensors, and accuracy is guaranteed through fusion and preprocessing; the model construction module is used for constructing hemostasis models with different difficulties by using a finite element method based on the acquired data, and simulating the mechanical characteristics of blood vessels; the augmented reality display module fuses the model and the real scene, and ensures accurate display by using an image registration algorithm; the interactive feedback module monitors operation in real time, calculates pressing force according to a formula, feeds back operation effects in various forms, adjusts the state of the model in real time, and provides real simulation for hemostasis training in the obstetrics and gynecology department. According to the invention, bleeding scenes are highly restored, personalized training is supported, evaluation is scientific and objective, cases are rich, remote cooperation can be realized, training efficiency and quality are improved, operation safety is guaranteed, and medical education development is promoted.

This invention discloses an integrated management method and system for the entire AI training process empowered by intelligent computing, relating to the field of artificial intelligence technology. It establishes a three-level mapping relationship between projects, groups, and members by having teachers input project information, configure grouping, and assign unique identifiers. This, combined with standardized task allocation, forms the underlying training data. Multi-dimensional training and computing power data are collected and standardized. Based on the total group quota, individual computing power is dynamically allocated using multi-dimensional indicators and task weights. Simultaneously, computing power monitoring, anomaly restrictions, and idle resource recovery are implemented to ensure fair and efficient use of computing resources. Based on standardized training data, individual contributions are quantified and individual scores are broken down proportionally, automatically generating assessment and review reports. This provides comprehensive and traceable support for training assessment and teaching review, and finally, the entire process data is archived, achieving a closed-loop iterative teaching process.

The invention discloses a virtual simulation training system and method for pulmonary function examination teaching, equipment and a medium, and relates to the field of virtual simulation training technology teaching. The system comprises a knowledge point learning module, a simulation exercise module and a training assessment module. The knowledge point learning module, the simulation exercise module and the training assessment module are in communication connection in pairs. In the virtual simulation training system for pulmonary function examination teaching, the knowledge point learning module, the simulation practice module and the training assessment module cooperate with one another, a real clinical target pulmonary function examination virtual scene can be effectively simulated, an immersive training learning mode is provided for students, and the teaching and training quality is improved.

The embodiment of the invention provides an out-road test driving training simulation scene generation method and system, and can solve the problem that the learning efficiency of examinees is affected due to the fact that most systems only provide an error question review function and cannot provide personalized learning path recommendation based on big data analysis. The method comprises the following steps: obtaining a driving theory simulation practice result of a target student, wherein the driving theory simulation practice result comprises wrong question information of driving theory simulation practice; based on the driving knowledge points associated with the error question information, establishing an outer road driving training assessment sub-scene; and loading the outer road driving training assessment sub-scene into a target outer road driving training scene under the condition that an outer road test driving training simulation request of the target student for the target outer road driving training scene is received.

The present invention discloses a serpentine running training and assessment system based on visual recognition technology, belonging to the field of visual recognition technology, and solves the problem that during the process of serpentine running training, training assessment is usually carried out manually, and perfect training assessment can only be carried out in the presence of a coach or professional athlete, otherwise there may be a situation of ineffective training. It includes a multi-modal visual acquisition module, a rod recognition and dynamic calibration module, an identity and action joint recognition module, a motion trajectory tracking module, a three-dimensional rod hitting detection module, and a score calculation and compensation module. The system of the present invention realizes the full process automation of serpentine running training and assessment, covering athlete identity recognition, preparation posture detection, real-time motion tracking, rod hitting detection and automatic score calculation and compensation, without manual intervention throughout the process, which significantly improves the training and assessment efficiency, reduces the interference of human factors, and ensures fairness and objectivity.

A training assessment method includes obtaining motion data of a user when executing a preset training plan, and determining an achievement rate and a completion rate corresponding to the user based on the motion data and the preset training plan. The achievement rate corresponding to the user characterizes an achievement situation of the user in terms of training intensity, and the completion rate corresponding to the user characterizes a completion situation of the user in terms of training volume. The method further includes determining an assessment result based on the achievement rate corresponding to the user and the completion rate corresponding to the user.

A system and method for developing an individualized assessment for a pilot based upon cognitive brain scan data has been developed. The system includes an aircraft simulator that simulates aircraft tasks for the pilot. During simulated aircraft tasks, behavior sensors are used to track behavioral aspects of the pilot, physiological sensors are used to track physiological aspects of the pilot and neural brain sensors are used to track neural signals of the pilot. A transcription model transcribes the neural signals of the pilot into words based on vocalization from the pilot during the simulated aircraft tasks. A data synchronization system synchronizes the behavioral aspects, the physiological aspects, the neural signals and the transcribed words of the pilot into an individualized dataset for the pilot. The dataset is used to develop an individualized training assessment for the pilot.

The invention discloses an automobile part practical training display device facilitating part replacement. The automobile part practical training display device comprises a movable containing platform and a display board fixedly installed on the movable containing platform. The device further comprises a part display mechanism, a practical training assessment mechanism and a cleaning mechanism. The part display mechanism comprises a limiting sliding rail, a placing plate, automobile parts and a clamping assembly; the practical training examination mechanism comprises a writing shell, a writing port, a magnetic writing board and a rotating assembly; the cleaning mechanism comprises a fixed cavity, a plurality of communicating round holes, a communicating assembly and an air blowing assembly, the fixed cavity is formed in the display board, and the communicating round holes are uniformly distributed in the surface of the display board. The device has the beneficial effects that different automobile parts can be conveniently displayed and taught, the teaching effect is improved, assessment can be conveniently carried out in class, manual cleaning of the automobile parts is not needed, the labor intensity of workers is reduced, the cleaning efficiency is improved, and characters written during assessment can be conveniently eliminated.

The invention discloses an interactive physical training evaluation method and system, and belongs to the technical field of physical training evaluation.A data acquisition module is used for acquiring physical condition data, stride data, stride frequency data and gravity center shift data of athletes in real time, and then a data processing module is used for processing the data; and sequentially calculating and outputting a stride score BH, an overall action quality score ZT and a new ideal stride LBnew, performing result comparison and correction evaluation on the new ideal stride LBnew and an ideal stride LB of a stride data result by using a result feedback and adjustment module, and replacing the ideal stride LB with the new ideal stride LBnew during next training, so as to obtain a new ideal stride. According to the method, the athletes can be improved in a targeted mode, reasonable stride, coordinated stride frequency and stable body gravity center control are beneficial for improving running efficiency, the ideal stride LB is optimized in real time according to the overall running action quality, flexible interaction and adjustment can be conducted on training according to real-time performance of the athletes, and the training efficiency is improved. Therefore, the training effect and the exercise performance are continuously improved.