8 results about "Training assessment" patented technology

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 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.

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.

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.

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.

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.