81 results about "Age groups" patented technology

The embodiment of the invention provides an intelligent recommendation method and system based on child digital picture book reading. The method comprises the following steps: constructing a recommendation model based on self-supervised learning and a convolutional neural network CNN; in the self-supervised learning module, feature representation of a comparison mechanism optimization model combined with user cognition is introduced; constructing a dynamically updated user portrait, wherein the user portrait comprises a current cognitive level label of the user; in response to a reading request of a user, self-adaptive fusion is carried out on a user portrait and the reading request, an age-worthiness evaluation factor of the picture book is introduced in the fusion process, and the age-worthiness evaluation factor is determined based on the matching degree of the character difficulty, the picture complexity and the user cognitive level of the picture book. And taking the fused label vector as the input of a trained recommendation model to obtain a recommendation list. According to the embodiment of the invention, the feature representation of the model is dynamically optimized in combination with the cognitive development stage of the user, the reading ability difference of different age groups is accurately adapted, and the recommendation accuracy and adaptability are improved.

The invention provides a portrait beautifying real-time processing method based on a deep neural network, and the method comprises the steps: carrying out the age classification processing of a face region in a feature map through an initialized age recognition neural network module, analyzing the face age indication features of the face of a user, judging the age group of the user, and outputting an age classification label; performing differentiation analysis on each face age indication feature according to the age classification label, taking a differentiation analysis result as a weight distribution basis, distributing weight coefficients to different face age indication features according to importance degrees, and obtaining face feature vectors for different age groups; and according to an eye processing strategy in the personalized beautification processing scheme, performing refined processing on the eye region, and adjusting eye contour enhancement strength and color saturation parameters according to the age group of the user to obtain image data subjected to eye beautification processing.

The invention discloses a health monitoring and alarming system and method for animal individuals in a zoo, belongs to the field of zoo animal health monitoring, and solves the technical bottleneck through cooperation of a sensing layer, an edge computing layer and a cloud analysis layer. The system particularly sets differentiated threshold values for animals of different age groups, genders and health conditions, the dynamic baseline adjustment and multi-source data fusion algorithm is combined, the anomaly detection precision is remarkably improved, meanwhile, a grading alarm mechanism and feedback driven model optimization form a closed loop, the conversion from passive response to active early warning is achieved, and the system is suitable for the animal health monitoring and early warning of animals of different age groups, genders and health conditions. Potential health risks can be identified 12-24 hours in advance, and efficient and accurate technical support is provided for animal health management.

The invention relates to the technical field of population prediction, and discloses a population prediction method and device based on combination of an ARIMA model and a queue element method. The method comprises the steps of obtaining historical migration population data of a to-be-predicted region, determining a difference order through ADF test, preliminarily determining the range of an autoregression order and a moving average order by using an autocorrelation function and a partial autocorrelation function, and constructing an ARIMA model; the optimized ARIMA model is adopted to fit historical migration population data, a migration population prediction result is obtained, and migration population data of each age group in the target prediction time period is output in combination with age structure data of floating population of the reference year; taking the migration population data of each age group as input parameters of migration population in a queue element method; according to a preset sum growth rate, selecting a western mode of a numeral-demann region model life table as a death model; and setting the average life expectancy according to a preset birth ratio, and realizing permanent resident population prediction of the to-be-predicted region.

The invention discloses an economic early warning identification method based on big data analysis. The economic monitoring precision and multi-dimensional control are remarkably improved. In the financial dimension, the accumulated income and expenditure difference value and the cost monitoring value are accurately compared, the monitoring threshold value is flexibly calibrated by means of the adaptive cost index, and the economic dilemma is sensitively informed. In the age level, the average age of the group is considered, different age indexes are matched according to age monitoring values to optimize a threshold value, and the economic pressure bearing difference of each age group is considered. And time dimension: locking one-quarter and four-quarter special time periods, finely regulating and controlling by virtue of corresponding time indexes, and conforming to seasonal income fluctuation characteristics. According to the technical scheme, the method comprises the following steps of: selecting a group number, calling a proper personnel index according to the group number, accurately measuring the family scale influence, performing multi-dimensional collaborative operation, breaking through the previous single-dimensional limitation, practically enhancing the accuracy and reliability of economic early warning monitoring, starting from big data and multiple dimensions, and bringing remarkable advantages for an economic early warning monitoring model.

The application provides an emotion regulation ability detection method and device based on a brain-computer interface. The emotion regulation ability detection method can adjust emotion evoking materials presented in a detection process and detection models and detection features used according to the age of a subject, so that the detection process can accurately adapt to test populations of different age groups, and the accuracy of the prediction results output by the detection model is effectively improved.

The invention relates to medicine and can be used for overcoming stuttering by developing the rhythmic component of speech. Exercises are performed on a step-by-step basis. In a first step, exercises are performed for the muscles of the respiratory, phonatory and articulatory systems. In a second step, an individual non-speech rhythm is cultivated. In a third step, a sense of rhythm is developed. In a fourth step, a poetic speech rhythm is cultivated. In a fifth step, a prosaic speech rhythm is cultivated. In a sixth step, narrative and interrogative intonations are cultivated. In a seventh step, rhythmic processes are trained to become automatic in independent speech. The method makes it possible to overcome psychogenic and neurogenic stuttering, without the use of medication or the risk of relapse, and is suitable for all age groups.

The present invention relates to a universal transparent guide for direct perforation of dental dams that is suitable for different age groups, both adults and / or infants. It also features references for centering the dam in the oral cavity and the coupling of the dam holder, which allows for absolute isolation in less time by facilitating the orientation and perforation of the dental dam regardless of whether it is thick, opaque, and / or black.

The invention belongs to the field of identity authentication, and discloses a touch screen behavior-based age group identification method and a related device, and the method comprises the steps: obtaining touch screen behavior data of a user; converting the touch screen behavior data into a touch screen track dynamic video sequence and a touch screen track image; obtaining an age group recognition result of the user through a pre-trained age group recognition model according to the touch screen track dynamic video sequence and the touch screen track image; wherein the pre-trained age group recognition model is constructed based on a neural network model, and is used for extracting features of each touch screen track dynamic video in the touch screen track dynamic video sequence to obtain first features and extracting features of a touch screen track image to obtain second features; and fusing each first feature with the second feature to obtain a plurality of fused features, and outputting an age group prediction result of the plurality of fused features. Through multi-dimensional behavior analysis and dynamic mode capture, the age group identification accuracy is improved, and the limitation that complex behavior information is difficult to capture by traditional artificial features is overcome.

The glasses leg comprises a main body and a split body, an adjusting assembly is arranged between the main body and the split body, the adjusting assembly comprises a limiting block and an adjusting connecting piece, and an inserting groove extending in the length direction of the adjusting connecting piece is formed in the adjusting connecting piece; the inner groove wall of the insertion groove is provided with a plurality of positioning grooves communicated with the insertion groove, the limiting block movably penetrates through the outer wall of the glasses leg and is separably inserted into the insertion groove, and the different positioning grooves arranged along the length direction of the adjusting connecting piece are respectively used for limiting different clamping positions of the limiting block in the length direction of the adjusting connecting piece. The length of the adjusting connecting piece located between the main body and the split body is adjusted by adjusting the length of the adjusting connecting piece, so that multi-gear adjustment is formed on the length of the glasses legs, the glasses legs can adapt to different sizes of heads by freely adjusting the length of the glasses legs, and the wearing requirements of different people at different age groups are met.

The application belongs to the technical field of bioinformatics, and discloses an epigenetic age assessment system and method based on machine learning; comprising: collecting methylation data of a user in real time; screening methylation feature data from the methylation data and compressing the methylation feature data into hidden feature data; obtaining historical feature data and constructing an age assessment model; inputting the hidden feature data obtained in real time into the age assessment model, predicting an epigenetic age, and marking the epigenetic age as a predicted age; systematically perturbing the predicted age, calculating a prediction error value of each simulated age, taking a simulated age corresponding to a minimum prediction error value as a corrected age; calculating a relative age, and taking a mean value of the relative age and the corrected age as an epigenetic age of the user; the application can improve the adaptability and accuracy of the model on different individuals and age groups, thereby improving the accuracy and timeliness of epigenetic age assessment.

The application belongs to the technical field of urban planning, and discloses a kind of public service facility layout planning method and system friendly to old people, the method comprises: obtaining the portrait information of old people in community, and identifying vulnerable old age groups;According to the portrait information of vulnerable old age groups, set the minimum accessibility guarantee condition of individualization;Pre-optimization is carried out on the alternative scheme to improve the satisfaction rate of the minimum accessibility guarantee condition of vulnerable old age groups;On the premise that the satisfaction rate of vulnerable old age groups is not reduced, the overall travel convenience of all old age groups is optimized as a target for comprehensive optimization;From a plurality of comprehensive optimization schemes, the final public service facility layout scheme is determined;Thus, the problem of ignoring the heterogeneity within the old age group in the prior art can be effectively solved, and the scientificity and humanization of public service facility layout planning are significantly improved.

The invention belongs to the field of medical image processing and artificial intelligence, and particularly relates to a construction method and application of a bone age evaluation model based on label distribution learning, and the method comprises the steps: constructing a bone age evaluation model which comprises a sub-model A, K sub-models B, a selection unit and a convolutional network C; k corresponds to different age groups; training the sub-model A by adopting the training sample set, and training the model B of the corresponding age group by adopting the training sample set of each age group; the model A obtains predicted bone age label probability distribution A according to each input image; the selection unit is used for substituting the distribution A into a normal probability density function with the real bone age of the input image as the center, calculating a normal distribution probability value, selecting a sub-model B of an age group corresponding to the age of the input image, and predicting again according to the input image to obtain predicted bone age label probability distribution B; and the convolutional network C is used for integrating the distribution A and the distribution B to generate final bone age label probability distribution. The accuracy of bone age evaluation can be improved.

The utility model discloses a fence structure and a child appliance, and relates to the technical field of child appliances, the fence structure comprises a fence main body and a connecting assembly, the fence main body comprises a first supporting position and a second supporting position which are oppositely arranged in a first direction, and a flexible connecting piece connected between the first supporting position and the second supporting position, the first supporting position, the second supporting position and the flexible connecting piece jointly define a containing cavity with the variable size in the first direction. The connecting assembly is connected between the first supporting position and the second supporting position so as to adjust the distance between the first supporting position and the second supporting position. According to the technical scheme, a user can correspondingly adjust the depth of the containing cavity corresponding to children of different age groups or different heights, on one hand, the user experience can be improved, and on the other hand, due to the fact that the depth of the containing cavity can be adjusted, the occupied space can be reduced when the containing cavity is stored.

This invention provides a facial recognition method, apparatus, and electronic device. The method involves acquiring a target image and the age parameter of a face to be recognized within the target image; extracting target facial features from the target image; and determining whether the face to be recognized matches the target identity based on the age parameter, the target facial features, and the feature classification results corresponding to the target identity. The feature classification results include standard facial features for multiple age groups corresponding to the target identity. This approach takes into account that a person's appearance changes with age. Therefore, during facial recognition, the facial features of the face to be recognized are matched with standard facial features that match its age parameter, thereby improving the accuracy of facial recognition.

This invention relates to the field of cognitive testing techniques and sensor-based measurement systems to create a block design test-based cognitive ability and psychomotor profile assessment system that can be used in various age groups. This system integrates testing media in the form of physical blocks, digital simulations, or a combination of both, as well as a rotation sensor-based data acquisition module to record the orientation and movement of the blocks in real-time during the assembly process. The obtained rotation data is then processed to analyze the level of accuracy, speed, interaction patterns, and movement coordination that represent the user's cognitive abilities and psychomotor profile. Unlike conventional methods that rely on subjective observations by the examiner, this system is capable of conducting assessments objectively, measurably, and based on quantitative data.Furthermore, this system enables more efficient testing by storing results digitally for monitoring, evaluation, and research. This invention is intended to support a variety of applications, from monitoring cognitive development in children, evaluating cognitive performance in adults, to early detection of cognitive and psychomotor decline in the elderly.

This application relates to automated assistants that accommodate multiple age groups and / or vocabulary levels. Described herein are techniques for enabling an automated assistant to adjust its behavior depending on a detected age range and / or "vocabulary level" of a user that is interfacing with the automated assistant. Data indicative of utterances of the user can be used to estimate one or more of an age range and / or vocabulary level of the user. The estimated age range / vocabulary level can be used to influence aspects of a data processing pipeline employed by the automated assistant. Aspects of the data processing pipeline that can be influenced by the age range / vocabulary level of the user can include one or more of automated assistant invocation, speech-to-text processing, intent matching, intent resolution, natural language generation, and / or text-to-speech processing. In some implementations, one or more tolerance thresholds associated with one or more of these aspects such as grammatical tolerance, vocabulary tolerance, etc. can be adjusted.

This application provides a physiological age prediction method, apparatus, device, and medium. By acquiring fundus images, the method predicts age groups based on ocular features in the images, and then determines an age offset based on lesion features in the images. Based on the age group prediction results and the age offset, the user's physiological age can be obtained. Furthermore, this application can adjust the resolution of fundus images, using low-resolution images for age group prediction and high-resolution images for lesion detection. This allows physiological age to be predicted using fundus images, saving prediction costs and shortening prediction time.

The utility model relates to the technical field of early-stage investigation of urban and rural planning, and discloses a folding type children investigation device which comprises a plurality of connecting plates, a plurality of holes are formed in each connecting plate, a plurality of connecting blocks are arranged on one side of each connecting plate, a cylindrical batten is fixedly connected to the outer wall of each connecting block, and the cylindrical batten is fixedly connected to the outer wall of each connecting block. The cylindrical battens are slidably connected to the inner walls of the holes, a counter is fixedly connected to the top of each connecting block, a buckle switch is fixedly connected to one side of each connecting block, a voice guide switch is fixedly connected to the other side of each connecting block, and a sound outlet is formed in the other side of each connecting block. According to the utility model, planning space is provided for participants of different age groups through the four surfaces of the outer side wall of the equipment, then information is known through display information on one side of the connecting block or voice of the sound outlet, and the cylindrical battens are inserted into the inner walls of the holes, so that compared with traditional equipment, the children research is enhanced.

The invention discloses a clinical prediction model for the dyslipidemia probability of a child hepatolenticular degeneration patient and a design method, and belongs to the technical field of medical information. The clinical prediction model comprises an input module for receiving patient parameter indexes consisting of an age group (Age group, lt, 10 years old or more), alanine aminotransferase (ALT), gamma-glutamyltransferase (GGT), homocysteine (Hcy), superoxide dismutase (SOD) and platelet count (PLT); the processing module is connected with the input module and calculates the prediction probability of the patient according to the model, and the output module is connected with the processing module and outputs the probability of dyslipidemia of the child hepatolenticular degeneration patient, which is finally obtained by the clinical prediction model. The prediction model established by the invention has good distinction degree, calibration degree and clinical practicability, has relatively high accuracy, and can be conveniently used for early recognition and risk prediction of dyslipidemia caused by hepatolenticular degeneration of children.

The utility model relates to the technical field of leg supporting, in particular to a leg supporting device for bone surgery, which comprises a hollow column, fixing and clamping mechanisms are movably arranged on two sides of the hollow column at the bottom end, and each fixing and clamping mechanism comprises a lifting rod, a wedging groove, a fixing screw, a threaded rod and a rotating handle. The lifting rods are pulled out of the hollow columns up and down, then the rotating handles on the two sides of the bottom ends of the two hollow columns are rotated, the threaded rods move towards the interiors of the hollow columns to be fixed, the corresponding height is determined, and one ends of the threaded rods are clamped into the wedging grooves in the two sides of the lifting rods to be fixed. At the moment, the patient can place the whole leg on the U-shaped bearing block, the gravity of the leg downwards extrudes a buffer spring to enable the buffer spring to generate elastic deformation, supporting is conducted through the brought reverse acting force, the device is provided with a supporting mechanism capable of being adjusted in a lifting mode, the device can be suitable for being used by patients of different age groups, and the optimal supporting and fixing point can be found conveniently.

To provide a data estimation device capable of easily estimating data related to health in the future.SOLUTION: The data estimation device includes an acquisition unit 11, an estimation unit 13, and an output unit 15. The acquisition unit 11 acquires health-related data for each of persons in different age groups. The inference unit 13 infers a transition destination of health-related data of a target person in a case where the age of the target person in a first age group becomes a second age group. The output unit 15 outputs health-related data for a case in which the age of the target person has increased, on the basis of the estimation result of the transition destination. With such a configuration, the data estimation device 10 can support decision making related to a future health state.SELECTED DRAWING: Figure 3

The application discloses a community facility supply and demand matching analysis method and related device, and relates to the technical field of city physical examination, updating and management. The method comprises the following steps: acquiring population position service data and population portrait data in a target area, and determining population distribution data of different target age groups; acquiring community boundary data in the target area, combining the population distribution data of different target age groups, and obtaining population distribution data of different age groups in each community in the target area; acquiring community facility interest point data in the target area, combining community facility types suitable for different target age groups, determining community facility types and quantities configured for different target age groups in each community, and combining population distribution data of different age groups in each community in the target area, to determine community facility items to be improved for each target age group in each community in the target area. The application adopts a data-driven mode, and improves the accuracy of the community facility supply and demand matching analysis result.

The application belongs to the technical field of medical devices, and discloses a pediatric penis development evaluation method and system based on multi-modal sensor measurement, which comprises the following steps: calling hardware parameter group corresponding to the scene to configure current scene parameters, collecting and verifying environmental conditions, and then starting the measurement process; collecting double-frequency tissue impedance data of the pubic symphysis region, locking the measurement reference zero point, identifying the interface channel, and obtaining the fat pad thickness; starting constant force standardization traction, maintaining constant force creep after reaching the force threshold of the age group, latching the current displacement to generate the stretching length, collecting double-path homologous strain data at the same time, and obtaining the circumference value; checking the stretching length and the circumference value according to the preset physiological boundary, determining the measurement quality grade, obtaining the final development parameter, evaluating and grading the development based on the fat pad thickness, and generating the development evaluation conclusion; receiving the doctor's calibration instruction, updating the physiological boundary based on the development evaluation conclusion and the final development parameter.

The invention discloses a prediction method and system for prolonging human life years by health intervention service, and relates to the technical field of data processing, and the method comprises the steps: building a health prediction model, and according to all-cause mortality and disease morbidity data of different genders and age groups, calculating a health prediction model; predicting the death probability of the crowd of each age group, the number of years of survivors of each age group, the total number of years of survivors and the expected life; in combination with the prevalence condition of general population health risk factors and the relative risk degree of all-cause death, calculating the life number of individuals who carry out health intervention earnings on different risk factors, and calculating the overall health score of the current individual; evaluating the health condition of the current individual according to the total health score of the current individual, discovering key risk factors, and making an intervention scheme. The life expectancy of healthy or chronic disease patients can be measured and calculated, and the method is suitable for application scenes of health intervention service evaluation.

The invention relates to the technical field of terminals, in particular to a data management method and system, electronic equipment and a computer readable medium. The method applied to first electronic equipment comprises the following steps: determining an age group of a user; if the age group of the user belongs to the first age group, a first control is displayed, the first control is used for controlling a second electronic device to obtain the authority of the first data, and the second electronic device is used for managing the first electronic device; in response to the operation of the user on the first control, allowing or forbidding the second electronic equipment to obtain the first data; and if the age of the user belongs to the second age group, not displaying the first control. Therefore, the electronic equipment can adaptively match the data management scheme for the user according to the age group of the user and display the corresponding control authority.

This application relates to a method and system for generating AMH test reports using multi-dimensional data fusion. The method includes extracting AMH samples from women of a specific age group and establishing a regression standard curve between age and the mean AMH value based on statistical distribution. The theoretical AMH value is obtained from the standard curve based on the patient's age, and combined with the actual test value to calculate the AMH standard offset reflecting the degree of deviation. Based on the statistical distribution of the sample set, a preset interval threshold reference range for the offset is set and simultaneously presented in the report as an evaluation benchmark. When the offset exceeds a preset risk threshold, multi-dimensional clinical data from the patient's historical diagnosis, hormone levels, and ultrasound are automatically collected and entered into the analysis process. The offset index, reference range, and multi-dimensional data mining results are fused to obtain structured and personalized report suggestions to assist in precise clinical decision-making.

The invention provides an advertisement putting decision pushing method and system based on an AI technology, and relates to the technical field of advertisement putting decision pushing, and the method comprises the steps: S1, obtaining the personnel flow and image information at a target position; s2, analyzing the age group of the personnel according to the image information; s3, determining group characteristics according to the proportions of the personnel at the position at different age groups; s4, synchronously sending the target group characteristics and the advertisement putting request to an advertisement data terminal; s5, the advertisement data terminal identifies group characteristics, selects advertisements belonging to the group, and confirms putting; s6, advertisement image display; the technical key points are as follows: an image acquisition unit is used for acquiring a position image of an advertisement needing to be put, and the proportion of people of all age groups flowing in the area is determined in a period of time according to the flow condition of the people in the area and the facial features of the identified people; and the advertisement data terminal can be supported to deliver the advertisement to the image display unit from the advertisement library, so that the intelligent delivery work of the advertisement is realized.

This invention discloses an AR tourism real-time cultural interpretation system and method. In the field of AR tourism technology, it addresses the technical problem of how to provide personalized interpretation methods based on the age, interests, and other characteristics of different tourists, thereby improving tourist satisfaction with the interpretation content. This invention categorizes users according to their age, calculates the feedback standards for different interpretation methods corresponding to different age groups, sorts the feedback standards by age group from highest to lowest, and selects the interpretation method with the highest feedback standard. Simultaneously, it introduces user interest factors, calculates the similarity between user interests and the same standard method, and combines dynamically adjusted weight coefficients to calculate recommendation values, generating personalized interpretation information to meet the needs of users of different ages and interests. It also obtains real-time user feedback and adjusts and analyzes the interpretation information based on the feedback, thereby improving user satisfaction with the interpretation content.

The present invention, called the Smart Cognitive Notebook, represents a significant advancement in the field of education and professional productivity. The system is designed to provide a comprehensive solution to the challenges faced by users of traditional notebooks. The Smart Cognitive Notebook addresses the limitations of conventional physical notebooks by offering a variety of advanced features. This invention is conceived to enhance organization, collaboration, and accessibility of information for users. Central to the system's functionality is the Artificial Intelligence Agent, a key component that drives interactivity and personalization of the user experience. This agent is expertly designed to interpret user messages, answer questions, review content, and provide personalized responses, all while taking into account the user's preferences and age group. Additionally, the system offers personalized quizzes generated based on the notebook's content, allowing users to test their knowledge interactively. Intelligent flashcards complement this functionality, making the review and memorization of key concepts more efficient. The Smart Cognitive Notebook further stands out for its versatility, seamlessly integrating with physical notebooks, and fully digital versions, and offering access via web and mobile applications.