53 results about "Training level" patented technology

The invention relates to the technical field of physiological information processing, and discloses a personalized burn rehabilitation path planning method and system, and the method comprises the steps: obtaining historical rehabilitation data and real-time evaluation data, constructing a state time sequence, extracting a score fluctuation vector and an emotion change vector, and carrying out the window adjustment processing of a fluctuation feature vector set, a rhythm factor and a training factor are calculated in each window range, so that path analysis has the capability of synchronously evaluating rhythm change and a training state, the phenomenon of excessive path adjustment caused by short-time abnormal fluctuation is avoided, a rhythm feature sequence is input into a whale optimization algorithm to execute path updating processing, and the path updating efficiency is improved. The method ensures that the path generation process has the dynamic adjustment capability, enhances the adaptability of the algorithm to the recovery rhythm change, performs grading processing on each stage according to the stage sequence set, can effectively output the rehabilitation path matrix, and realizes the unified expression of the multi-stage rhythm and the training grade.

The invention relates to the technical field of unmanned aerial vehicle training, and discloses an unmanned aerial vehicle training system and method based on multi-modal analysis and a dynamic scene, and the method comprises the steps: obtaining multi-source data, carrying out the preprocessing, obtaining multi-modal data, and inputting the multi-modal data into an intelligent analysis module; receiving the multi-modal data, analyzing the multi-modal data to obtain scene modeling information, and unifying the format of the scene modeling information; carrying out scene coverage simulation based on the scene modeling information, calculating a scene coverage rate, carrying out dynamic adjustment on the scene modeling information based on the scene coverage rate, updating the scene coverage simulation, calculating a training adaptation degree by fusing the hardware performance of the unmanned aerial vehicle after updating, and judging whether training is allowed or not; if yes, obtaining training performance data, calculating training performance values and sorting; training data of the trainees are obtained based on scene coverage simulation, the training proficiency is calculated, the training levels of the trainees are dynamically adjusted, training demand values of the trainees are calculated according to historical training data and sorted for analysis, and the training scene and the unmanned aerial vehicle are matched.

A smart cat scratcher and a system for implementing a reward protocol for a smart cat scratcher, and / or methods of manufacturing and / or using the smart cat scratcher and system. The smart cat scratcher is configured to automatically dispense rewards in response to detected scratching activity by a cat. The smart cat scratcher includes a scratching surface, one or more sensors configured to detect the scratching activity, a scratcher controller, and a reward dispenser. The scratcher controller is programmed with a reward protocol that includes a training protocol and a maintenance protocol. The training protocol includes multiple training levels, each with corresponding reward schedules and criteria for graduation. The maintenance protocol includes a partial reinforcement schedule for maintaining established scratching behavior. The smart cat scratcher is configured to communicate with a user terminal to receive input and provide status updates regarding the cat's interaction with the smart cat scratcher.

The invention discloses a short-term memory manipulation ability training method and related products, and the method comprises the steps: determining an initial training level based on the basic information of a target object; determining a material generation condition of current training of the target object based on the initial training level and the basic information; inputting the material generation condition into a large language model to obtain a training material; generating a training task based on the training material and the initial training level; displaying the training task to the target object, and obtaining feedback data of the target object on the training task; and training the target object for multiple times based on the feedback data and the basic information. By using the method, the challenging and interestingness of training are improved, the training effect and efficiency are further improved, and the training participation degree and the user experience are improved.

The invention discloses a clinical skill training level evaluation method and device, equipment and a storage medium, and relates to the technical field of clinical medical education, and the method comprises the steps: collecting the current multi-modal data of the clinical skill operation of a target student in a clinical skill training process; preprocessing the current multi-modal data, and extracting features related to clinical skill operation of the target student in the preprocessed data to obtain an operation feature extraction result; and inputting the operation feature extraction result into a skill training level evaluation model obtained by training a multi-modal large model based on a dynamic space-time diagram attention network by using historical multi-modal data, so as to evaluate the clinical skill operation level of the target student based on the operation feature extraction result. And obtaining a skill training level evaluation result. The accuracy of clinical skill training level evaluation can be improved, and the evaluation efficiency is improved.

The invention discloses a medical rehabilitation training robot, a control method thereof, a medium and equipment. The method comprises the following steps: acquiring user information, initializing a robot pose and generating an initial training strategy; executing training after the wearing state is qualified, collecting user feedback information and inputting the information into a neural network to generate a user training portrait; according to a deviation between a training level and a prediction target in a user training portrait calculation stage, generating lifting information and performing reverse mapping to obtain training defect parameters so as to adjust execution unit parameters; when the deviation exceeds a preset lifting threshold value, the stage prediction target is corrected, loop optimization is carried out until the standard is reached, and a dynamic adjustment strategy is generated; and judging a user state in real time to determine stage switching. Accurate dynamic adjustment of training parameters is realized through neural network modeling, adaptive transition of each training stage is ensured by using a closed-loop optimization mechanism, cooperative training of upper and lower limbs and dynamic auxiliary force adjustment can be effectively realized, and rehabilitation training adaptability is improved.

The utility model discloses a four-force-arm multi-track strength training device which comprises a machine frame. The four adjusting assemblies are located on the same side of the rack and arranged on the periphery of the rack, each adjusting assembly comprises an adjusting base and an output rod, the adjusting bases are rotationally connected to the rack in the horizontal direction, and the output rods are rotationally connected to the adjusting bases in the vertical direction; the four stretching parts are connected with the adjusting assemblies in a one-to-one correspondence mode, each stretching part comprises a pulling block, the pulling blocks are connected to the outer side of the output rod, and the pulling blocks are suitable for being pulled outwards; and the resistance output module is connected to the rack, and the resistance output module is used for outputting load force to the pulling block. Two additional force arms and a flexible multi-angle adjusting mechanism are added, the types of training actions are greatly enriched, the adaptability and expansibility of the equipment are improved, a user can do diversified and personalized exercise according to different muscle groups, operation is easy, convenient and visual, the equipment is suitable for people of various body types and training levels, and the practicability is high. And the fitness experience and the training effect are obviously enhanced.

The invention relates to the field of physical training, in particular to a multifunctional track and field training device for physical education, which comprises a track assembly, a driving assembly mounted on the track assembly, a traction assembly mounted on the driving assembly and a pedal assembly mounted on the traction assembly, the driving assembly is used for driving the traction assembly and the corresponding pedal assembly to move on the track assembly, and the traction assembly is used for fixing the pedal assembly to any position on the track assembly; the track assembly is provided with a first transmission assembly, and the output end of the first transmission assembly is provided with a measuring assembly. By means of the measuring assembly integrated on the starting block, the distance between the starting block and the starting line can be measured when the starting block is installed, under long-term use, it can be guaranteed that the starting block is installed at the same position when training is conducted every time compared with the mode that the starting block is installed with a foot as a measuring reference, and the training efficiency is improved. The long-term muscle memory of athletes is favorably cultivated, and the training level is improved.

The invention discloses a data processing method and device in a game, electronic equipment and a readable storage medium, a graphical user interface is displayed through a terminal, and a training control used for displaying at least one preset training level is displayed in the graphical user interface; the method comprises the following steps: in response to a trigger operation for a training control, determining a to-be-trained virtual character according to the trigger operation; acquiring game feature data corresponding to a to-be-trained virtual character; determining level configuration information of a to-be-generated training level according to the game feature data; and generating at least one training level according to the level configuration information. According to the method, targeted training levels can be provided when different virtual characters are controlled for different players or for the same player, the training effect on the operation skills of the players is enhanced, and therefore the game experience of the players is improved.

The invention relates to the technical field of baseball batting training, in particular to a reinforcement learning self-adaptive baseball batting training device which comprises a mounting shell assembly and a control system, a lifting mechanism is mounted at the lower end of the mounting shell assembly, and a baseball conveying mechanism is arranged on the mounting shell assembly; the control system comprises a control module, and the control module is connected with a power supply connection module. The control module and the power supply connection module are jointly connected with a baseball supply module, a motor control module, an electric telescopic control module and an infrared induction control module. Through operation of automatic parts, the baseball output intermittent time and the baseball output speed can be controlled, the detection range can be adjusted according to the level condition of a trainee, the training level of the trainee can be detected and judged by arranging a computer control system corresponding to the device, and the training efficiency is improved. In addition, the strength of hitting training is adjusted according to the levels of different trainers, and the level of the trainers can be improved.

The invention belongs to the technical field related to medical rehabilitation auxiliary training, and particularly relates to a postpartum pelvic floor muscle rehabilitation auxiliary training device for the obstetrics and gynecology department and a using method thereof.The postpartum pelvic floor muscle rehabilitation auxiliary training device for the obstetrics and gynecology department comprises a mounting bottom plate, a connecting traction assembly is arranged at the lower end of the mounting bottom plate, and the left end of the connecting traction assembly is connected with an elastic resistance assembly; the front end and the rear end of the elastic resistance assembly are each provided with an inserting fixing assembly, the two inserting fixing assemblies are both arranged at the lower end of the mounting bottom plate, and the right end of the connecting traction assembly is meshed with two first meshing gears. By arranging the connecting traction assembly and the inserting fixing assembly, elastic resistance assemblies of different specifications can be conveniently replaced according to different rehabilitation stages and strength levels of patients, so that the training strength of the device can be flexibly adjusted, and the device is suitable for patients with weak strength in the early postpartum stage and is also suitable for intensive training in the later rehabilitation stage; and the clinical adaptability and the personalized training level of the device are greatly improved.

The application relates to the technical field of debugging training, in particular to an automatic adjustment debugging training system based on a PLC, which comprises a modeling module, a connecting module and a control module. The modeling module is used for acquiring operation parameters in multiple thermal processes of a thermal power plant, modeling the multiple thermal processes according to the operation parameters, and obtaining corresponding system simulation models. The connecting module is used for connecting the system simulation models with a controller of a user through a preset channel. The control module comprises a touch operation screen, the touch operation screen is used for operating the system simulation models, a training evaluation value is calculated according to an operation flow of a trainee on the system simulation models, and a training level of the current trainee is judged according to the training evaluation value. The application solves the technical problem that the debugging of an automatic adjustment system is all conducted by hiring factory-outside experts, which not only costs a lot but also cannot be permanent, and the debugging process has an influence on equipment.

This application discloses a multimodal large-scale robot control method and system based on eye-tracking feature enhancement. The method includes: multimodal teaching data acquisition; spatiotemporal encoding of gaze features; construction of teleoperation datasets; construction of a multimodal large-scale model; model training; and intent recognition and real-time inference. The method provided in this application, based on the OpenVLA large-scale model, achieves a natural interaction mode of "one-time command issuance and long-term intent guidance" by introducing visual gaze features. Furthermore, through a "Gaze-Guided Loss" function, it achieves strong supervised guidance of the large-scale model's attention mechanism based on human visual priors at the model training level. While retaining the powerful cross-task, zero-shot generalization capabilities of the OpenVLA large-scale model, the method provided in this application significantly enhances the system's adaptability to complex and unstructured environments.

This invention provides a physical training climbing device, belonging to the technical field of climbing training equipment. The device includes: two hollow supports; a first climbing net fixedly connected to the adjacent ends of the two hollow supports; two rack and pinion support blocks slidably connected within the two hollow supports; and two gears rotatably connected within the two hollow supports. Through the meshing of the gears and rack and pinion support blocks, the second climbing net rises, increasing the device's length. A limiting block is inserted into a limiting groove. Once the second climbing net reaches the top, the user stops rotating. The limiting block supports the triangular blocks, preventing the rack and pinion support blocks from falling downwards or the device from shaking during climbing, thus protecting the device and the user's safety. This device can be quickly matched to the appropriate height for users of different training levels, improving climbing training results. It is safe, convenient, and quick to use.

The invention relates to the technical field of ice hockey training equipment, and discloses a sliding step training device for ice hockey defense training and a using method thereof.The sliding step platform module adopts an arc-shaped sliding rail with the radian of 120-150 degrees, the sliding step platform module is accurately matched with the natural movement track of ice hockey defense lateral sliding step, the normalization and practicability of training actions are ensured, and the training efficiency is improved. The fitness of training and actual competition scenes is improved, the height of a guide plate and the inclination angle of 0-30 degrees can be accurately adjusted through a guide adjusting module, different defense turning scenes can be simulated, various training requirements such as basic sliding and turning sliding can be met, the problem that a traditional device is single in training scene is solved, and the training efficiency is improved. The resistance simulation module can automatically upgrade the training level according to the motion completion degree of the trainee and can simulate lateral resistance in defense and confrontation at the same time, the pertinence and effectiveness of training are improved, the central control module can summarize and analyze training data, the trainee can conveniently analyze and optimize a training scheme subsequently, and the scientificity of training is improved.

A frisbee forehand throwing training device, the base of which is provided with a perforation for winding and fixing a magic tape at the fingertip position of the middle finger of the trainer, so that the training device uses the fingertip of the middle finger as the key force contact point for the forehand throwing action and enables the fingertip of the middle finger to swing greatly when throwing the frisbee; a bearing is assembled on the bottom surface of the rotating cross bar; a thumb pressing position is arranged on the surface of the rotating cross bar and is located at the second phalanx of the index finger of the trainer. When the trainer swings the wrist from back to front, the thumb releases the thumb pressing position and the palm is flattened, so as to make the rotating cross bar rotate. The present invention cooperates with the hand shape of the trainer to complete the training and inspection of the forehand throwing of the frisbee. It can not only understand the training level of the trainer himself in real time according to different conditions of the rotation of the rotating cross bar, but also enable the trainer to support the progressive training process from easy to difficult alone, thus providing guarantee for the advanced learning of the frisbee forehand throwing technique.

The utility model provides a touch display type envelope graph describing device. The touch display type envelope graph describing device comprises a box body, a containing box, a display assembly, an electrifying piece, an operation assembly and a measuring assembly. The placement box is movably mounted in the box body, the display assembly and the measurement assembly are both placed in the box body, and the operation assembly is placed in the placement box; the display assembly comprises a support and a displayer, and the displayer is placed in the support. The electrifying piece is mounted in the center of the bottom of the display. According to the device for describing the envelope graph in the touch display mode, the support with the displayer is used in cooperation with the operation assembly and the detection assembly, a gunner can conveniently observe and correct an aiming line in time and clearly, and a teacher can conveniently master the training level of each trainee; and after each training, the last round of training trace can be eliminated only by pressing the clearing button on one side of the liquid crystal board and one side of the artillery, so that the training safety is ensured, and the training efficiency is also improved.

The invention discloses a lion dance gymnastics action recognition method, and relates to the technical field of artificial intelligence, the method comprises the steps: synchronously collecting a site environment, a visual image, drumbeat audio and joint motion data through a laser radar, an RGBD camera, a microphone and a wearable sensor, and generating an environment parameter matrix through a YOLOv8 algorithm; a double-flow network is constructed through a space-time diagram convolutional network (ST-GCN) and a Transform encoder, and multi-modal feature fusion is realized in combination with a cross-modal attention mechanism. And dynamically adjusting the weight of the attitude estimation model based on the environmental parameters, and completing action classification through an LSTM network. The system integrates AR real-time deviation feedback, meta-learning driven new action generation and a physical engine safety evaluation module, and realizes high-precision identification of lion dancing actions, training efficiency optimization and innovation assistance. According to the method, the problem of insufficient adaptability of a traditional method in a complex scene is solved, the scientific training level and culture inheritance efficiency of lion dancing sports are improved, and the method has the advantages of being high in precision and intelligent.

The invention provides a cognitive rehabilitation training system and method for depression, equipment and a medium, and relates to the technical field of rehabilitation training.A training scene is displayed through a VR head-mounted display, and training operation data needed when a trainee executes training operation is obtained through force touch feedback equipment; the control device obtains an account of a trainer; determining training data corresponding to the trainee based on the account of the trainee, and determining a training level corresponding to the trainee based on the current training level of the trainee; determining training operation data of the trainee based on the training plan and the training level, and determining current training result data of the trainee based on the training operation data; and determining the target training result of the trainee based on the current training result data and the historical training data so as to improve the training interestingness and the training effect and increase the training compliance of the trainee.

The present application discloses a training method, apparatus, electronic device, and storage medium. The method includes: determining an initial training level of the trainee among a plurality of preset training levels according to the personal parameters of the trainee; presenting a first training topic corresponding to the initial training level to the trainee, and obtaining feedback data of the trainee on the first training topic; and performing multiple trainings on the trainee according to the feedback data and the personal parameters. Using this method, it is possible to accurately match the training corresponding to the initial level for the trainee, determine subsequent training levels according to the performance of the trainee during the training, and then improve the training effect and efficiency.

The present invention relates to the field of baseball striking training technology, specifically a reinforcement learning adaptive baseball striking training device, comprising a mounting shell assembly and a control system. The mounting shell assembly is provided with a lifting mechanism at the lower end, and a baseball conveying mechanism is provided on the mounting shell assembly. The control system comprises a control module connected to a power supply connection module. The control module and the power supply connection module are connected to a baseball supply module, a motor control module, an electric telescopic control module, and an infrared sensing control module. The present invention operates through automated components, can control the interval time and speed of baseball output, and can adjust the detection range according to the level of the trainee. The device can also detect and determine the training level of the trainee by setting a computer control system corresponding to the device, and adjust the intensity of the striking training according to the level of the trainee, thereby helping to improve the level of the trainee.

The present invention relates to the technical field of orthopedic rehabilitation management, and particularly to an adaptive orthopedic rehabilitation management system. The system includes a training module, a collection module, an evaluation module, and an adjustment module. The training module is used to assist the user in performing training actions; the collection module respectively collects the acting muscle strength, acting range, and breathing frequency of the user when performing training actions; the evaluation module is configured to generate an evaluation result for the process of the user performing training actions based on the difference between the acting range and the standard acting range, the difference between the acting muscle strength and the standard muscle strength, and the breathing frequency; the adjustment module is configured to correct the training level of the next training action based on the evaluation result, or output a rehabilitation reminder; through the comprehensive analysis of muscle strength and acting range, the orthopedic rehabilitation degree can be effectively evaluated, and then the rehabilitation training intensity can be accurately and adaptively adjusted, effectively improving the adaptability and timeliness of the orthopedic rehabilitation management system.

The present invention relates to the technical field of teacher training management, and relates to a management method and system for a teacher training management platform, including when detecting that a user logs in to the teacher training management platform, determining the basic information corresponding to the user; performing a level evaluation on the professional knowledge of the user according to the basic information to obtain an evaluation result; mapping a training level according to the evaluation result, and matching a level-associated sub-database in the training material database according to the training level; learning and mining the historical search information of the user, and matching training materials that meet the degree of fit in the level-associated sub-database according to the result of the learning and mining; and pushing the training materials to the user. The management method and system for the teacher training management platform according to the present invention combine the professional knowledge evaluation level of the user and the historical search information of the learning and mining user to obtain the training content that the user is interested in and push the training materials, improving the effectiveness of teacher training and the enthusiasm of teachers for training and learning.

The present invention belongs to the technical field of air combat training, and particularly relates to a method for evaluating the effectiveness of actual combat air combat confrontation training. The present invention combines the real-time adjudication evaluation of the entire process of air combat confrontation training with the comprehensive effectiveness evaluation of training data playback, and constructs a corresponding evaluation system in stages. It mainly conducts real-time adjudication on the results of weapon attacks and defenses in each wave, and uses the battle damage rate, exchange rate, and attack cycle as the main evaluation indicators to evaluate the mission completion ability; the comprehensive effectiveness evaluation focuses on the effectiveness evaluation of the attack process and defense process of air combat confrontation training. The present invention can directly provide a model method for evaluating the effectiveness of actual combat air combat confrontation training, which can not only adjudicate and evaluate the victory or defeat of confrontation training in real time and test the overall training level, but also analyze through training data playback to focus on the weapon equipment usage ability and tactical combat method level during the attack and defense process of confrontation training; overall improve the effectiveness of actual combat air combat confrontation training and guide the systematic development of air combat training.

A smart cat scratcher and a system for implementing a reward protocol for a smart cat scratcher, and / or methods of manufacturing and / or using the smart cat scratcher and system. The smart cat scratcher is configured to automatically dispense rewards in response to detected scratching activity by a cat. The smart cat scratcher includes a scratching surface, one or more sensors configured to detect the scratching activity, a scratcher controller, and a reward dispenser. The scratcher controller is programmed with a reward protocol that includes a training protocol and a maintenance protocol. The training protocol includes multiple training levels, each with corresponding reward schedules and criteria for graduation. The maintenance protocol includes a partial reinforcement schedule for maintaining established scratching behavior. The smart cat scratcher is configured to communicate with a user terminal to receive input and provide status updates regarding the cat's interaction with the smart cat scratcher.

The utility model provides a kind of finger flexion and extension training rehabilitation device, it is related to finger flexion and extension training device technical field, including: wrist strap, wrist strap top end is fixedly connected with connecting band a, wrist strap one side is fixedly connected with connecting band b, and there is a day-shaped installation buckle in connecting band b.The device is adjusted flexion and extension training mechanism by setting, can according to the physiological characteristics and rehabilitation stage of different fingers of trainer, flexion and extension training stroke is flexibly adjusted, the adaptability and individualized training level of device are improved, and the device is easy to operate, comfortable to use, it is convenient to promote application in a variety of scenarios, with good practicality and clinical application value.

This invention relates to a self-enhancing fine-tuning method and apparatus for an NL2SQL large language model. The method includes: 1. confirming a first model and initializing an iteration counter; 2. initializing a seed dataset; 3. cleaning the seed dataset; 4. fine-tuning the first model based on the seed dataset; 5. using the first model to perform data augmentation and low-quality record filtering on the seed dataset, and merging the augmented dataset and the seed dataset to obtain a new seed dataset; 6. if the iteration counter exceeds a threshold, proceeding to step 7; otherwise, incrementing the counter by 1 and returning to step 3; 7. fixing the parameters of the first model after iterative fine-tuning and confirming the end of fine-tuning training. This invention can shorten the training cycle, reduce training costs, and improve training efficiency.

This invention relates to the technical field of device control and provides a method and apparatus for hand function rehabilitation training. The method includes: responding to a user-triggered self-test mode by collecting five-finger flexion data via a flexion sensor and collecting muscle electrical signals via an electromyography (EMG) sensor; the self-test mode is used to perform a maximum grasping motion when the user wears a pneumatic rehabilitation robot glove, where the maximum grasping motion refers to the user's maximum grasping ability; matching a training level based on the EMG signals; matching a tiered training strategy based on the five-finger flexion data and the training level; and controlling a pneumatic structure to perform training operations according to the tiered training strategy. This hand function rehabilitation training method, through intelligent feedback and personalized adjustment, makes rehabilitation training more efficient and precise, and effectively avoids the limitations of traditional methods.

Defensible AI systems and methods may provide technical solutions for technical problems facing typical AI systems. An expert system may be used to address problems facing AI that systems operate without providing visibility into their internal decision-making processes. The expert system may be developed with meaning-assigned fact nodes. A gradient descent style training process may be used to improve the performance of expert system networks. In an example, a gradient descent training process identifies the contributions of rules and fact values to the outcome fact values, then distributes a portion (e.g., velocity value determined portion) of the error to each rule input weighting based on its proportion of overall contribution. These expert systems may use various approaches to training, such as various selected inputs used to calculate the difference value (e.g., error value), various network designs, various error and augmentation levels, and various different training levels.