34 results about "Training level" patented technology

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 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 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 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.

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 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.

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.

The invention relates to the technical field of visual training, in particular to a visual training method and device for simultaneous visual training under grid flickering, a medium and a product. The method comprises the steps that body data of a trainee are obtained, training parameters of a plurality of training levels are set based on the body data, and the training parameters comprise grid flicker parameters and point tracing task parameters; displaying the plurality of training levels to the trainee in sequence by using the software interaction interface, and receiving feedback data of the trainee at each training level; based on the feedback data of the current training level, judging whether the trainee passes the current training level or not; if it is judged that the trainee does not pass through the current training level, an exercise adding level is generated, and after it is judged that the trainee passes through the exercise adding level, the current training level is displayed to the trainee again till the trainee passes through the current training level and enters the next training level till all the training levels are completed. Personalized training can be carried out according to the difference of trainees, and the trainees are helped to achieve the purpose of eyesight improvement.

The invention discloses an unmanned aerial vehicle training system based on digital twinning and a construction method thereof, and the system comprises a digital twinning scene modeling module which is used for generating an unmanned aerial vehicle training basic scene based on the three-dimensional reconstruction of real geographic data; the unmanned aerial vehicle digital model construction module is internally provided with an unmanned aerial vehicle part database and is configured with an unmanned aerial vehicle model assembly interaction unit to generate an unmanned aerial vehicle digital model with differentiated performance parameters; the training and competition function module is in communication connection with the unmanned aerial vehicle digital model building module; and the racing track editing module is in communication connection with the training and competition function module, supports self-definition of a racing track path and barrier layout, and configures a racing track sharing subunit. The method has the beneficial effects that the physical loss cost is reduced; dynamic environment simulation covers a high-risk scene, so that the training integrity is improved; the skill migration efficiency is improved to the real decoration training level compared with multimedia training; and the system expansibility is enhanced.

1. Name of the designed product: socks (warrior training level five-toe sports socks). 2. Use of the designed product: for wearing. 3. Design points of the designed product: in the combination of shape and pattern. 4. Picture or photo that best indicates the design points: component 1 front view. 5. The designed product is a thin product, and other views are omitted.

An object of a system according to an embodiment is to propose an optimal training method and nutrition management in accordance with the degree of growth of a user by utilizing data of a professional athlete.SOLUTION: A system includes a data collection unit, an analysis unit, a proposal unit, a feedback unit, and a purchase platform unit. The data collection unit collects data of a professional athlete. The analysis unit analyzes the data of the professional athlete collected by the data collection unit. The proposal unit proposes an optimal form, training method, frequency, nutrition, and reference book according to the degree of growth of the user on the basis of the data analyzed by the analysis unit. The feedback unit analyzes the training result of the user and provides feedback. The purchasing platform portion allows the user to purchase items needed for training.SELECTED DRAWING: Figure 1

The utility model provides a kind of trainer of sports project, it is related to the trainer of sports project field, the hurdle frame and two chassis are provided with adjusting device between two ends of the hurdle frame respectively, the utility model can be according to the different physical condition and training level of player needed training in the process of using hurdle frame to train the agility, coordination, explosive strength and flexibility of player, manually hold screw rod and rotate it to a certain number of turns in the inner wall of sliding slot, drive two screw hole blocks to move in opposite direction, make the both ends of its connecting rod rotate to a certain angle in the inner wall of screw hole block and the inner wall of recessed frame, lift the hurdle frame to one end in the inner wall of two hollow poles, adjust to a certain height, make it adapt to player of different physical condition and training level, improve training effect, improve the applicability of hurdle frame, convenient to use.

The invention is suitable for the technical field of equipment control, and provides a hand function rehabilitation training method and device.The hand function rehabilitation training method comprises the steps that in response to a self-test mode triggered by a user, five-finger bending data is collected through a bending sensor, and a myoelectric signal is collected through a myoelectric sensor; the self-test mode is used for carrying out the maximum grabbing action when the user wears the pneumatic rehabilitation robot glove, and the maximum grabbing action refers to the maximum of the grabbing ability of the user; matching training grades according to the muscle electric signals; matching a stepped training strategy according to the five-finger bending data and the training level; according to the stepped training strategy, a pneumatic structure is controlled to execute training operation. According to the hand function rehabilitation training method, rehabilitation training is more efficient and accurate through intelligent feedback and personalized adjustment, and limitation in a traditional method can be effectively avoided.

The utility model discloses an angle adjustable single bar trainer belongs to the related technical field of sports equipment to solve the obvious safety hidden danger of single person rubber belt training in prior art, the training body angle of back leaning once too big, easily causes training accident, although the safety of two people or many people auxiliary training can guarantee to a certain extent, but the training density of the participating personnel is low, and training efficiency is difficult to improve, can not satisfy the problem of efficient training demand, including support stand, two groups support stand all have the movable joint in the lifting adjusting column, two groups lifting adjusting column between fixed connection have the bar surface, let the kneeling posture of trainer in the supporting plate, rely on the supporting plate support and the safety hidden danger of eliminating single person rubber belt auxiliary training elastic component. Its single person use and power -assisted design, reduce training threshold, improve efficiency, satisfy different training level demand, still can pass through the angle of adjusting supporting plate, solve the posture adjustment problem, satisfy the diversification training.

The application belongs to the technical field of medical devices, and particularly discloses a rehabilitation training device for peritoneal dialysis patients and a control method, which comprises an abdominal pressure acquisition module, a control mechanism and a training mechanism, the abdominal pressure acquisition module is used for acquiring abdominal pressure information of the patient, the control mechanism comprises multiple comparators, a first input end of the comparator is connected with an output end of the abdominal pressure acquisition module, a corresponding pressure threshold memory is connected with a second input end of the comparator, and output ends of the multiple comparators correspond to different training levels of the training mechanism. According to the technical scheme, the module and the mechanism are matched to standardize and guide the rehabilitation training of the peritoneal dialysis patient, and the safety and training effect during the training are ensured.

Systems and methods are provided for dynamic driver training, and may include: a communication interface to receive sensor data, the sensor data comprising driver biometric data and driver performance data for a driver operating a vehicle; a driver inference circuit to infer a skill level and emotional state of the driver operating the vehicle; and a driver training circuit to, based on the inferred skill level and emotional state of the driver operating the vehicle, dynamically adjust a driver training level for the driver while the driver is operating the vehicle.

The application relates to a model training method and system for video super-resolution reconstruction. The method comprises: preprocessing a video sample set to obtain a training data set, wherein the training data set comprises a plurality of low-resolution frames and a real high-resolution frame corresponding to each low-resolution frame; performing super-resolution reconstruction on each low-resolution frame according to a convolutional neural network constructed based on three stages of feature extraction, inter-frame fusion and super-resolution enhancement to obtain a predicted high-resolution frame in the current round; and performing iterative updating on the convolutional neural network according to the difference between the predicted high-resolution frame in each round and the corresponding real high-resolution frame to obtain a trained video reconstruction model. The method can form a video super-resolution reconstruction process with the synergistic effect of feature extraction, inter-frame fusion and super-resolution enhancement, so that the video super-resolution reconstruction process has high efficiency and accuracy at the current training level and the subsequent application level.

1. The name of the design product: flight trajectory (8-shaped). 2. The use of the design product: the design product is used for unmanned aerial vehicle training level 8-shaped circle training subject. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: top view. 5. Omit the perspective view.

The utility model relates to the technical field of manufacturing of table tennis serving equipment, in particular to a vertical type lifting table tennis serving machine which is reasonable in structure, easy and convenient to operate and capable of expanding the ball outlet position of a machine head of the table tennis serving machine so as to improve the training level, and is characterized in that a supporting machine frame comprises a bottom plate and a supporting frame body fixed on the bottom plate, the supporting frame body comprises four stand columns, the four stand columns are connected through cross beams, the ball outlet side of the machine head of the pitching machine corresponds to the front side of the supporting frame body, the pitching machine is installed in the supporting frame body through a lifting mechanism, and the lifting mechanism comprises a chain lifting assembly and a lifting guide assembly. The lifting guide assembly comprises a guide rail arranged along the stand column, a sliding block matched with the guide rail is arranged on the guide rail, the sliding block is connected with a pitching machine, and the chain lifting assembly is connected with the pitching machine.

The invention discloses a cognitive flexibility 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; based on the initial training level, determining the number of a plurality of training trials corresponding to the training task, a training dimension corresponding to each training trial and a generation condition of a training material; generating a plurality of training materials based on the generation conditions of the training materials, wherein the plurality of training materials and the plurality of training trials are in one-to-one correspondence; generating a plurality of training task rules based on the training material and the training dimension corresponding to each training test, the plurality of training task rules being in one-to-one correspondence with the plurality of training tests; generating a training task based on the training material and the training task rule corresponding to each training trial; and displaying the training task to the target object to train the target object. By using the method, the training effect and efficiency of the cognitive flexibility capability can be improved.

The invention discloses a control system and method based on multi-perception steering and path planning. The system comprises a multi-perception steering mechanism, a path planning module and a control module. A multi-sensing steering mechanism comprising a control rod, a longitudinal movement unit and a horizontal steering unit is used for collecting horizontal steering movement data and longitudinal movement data of a user; and selecting to activate the program control steering mode or the manual steering mode based on a preset training level. In the program-controlled steering mode, a following path is generated based on a Frenet coordinate system, a virtual motion carrier is automatically controlled to move, meanwhile, longitudinal motion parameters are matched to drive a control rod to move longitudinally, and limbs of a user are driven to complete training; in the manual steering mode, the user is guided to control the control rod to execute steering and / or longitudinal movement, a training path is generated according to collected data, and limb training is achieved by controlling the virtual movement carrier. According to the method, multi-mode steering and personalized path planning are fused, the training pertinence and interestingness are improved, and refined interaction control is achieved.