45 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 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 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.

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.

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 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 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.

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 invention relates to the technical field of analysis of intestinal flora structures, and discloses a method for analyzing an adjusting effect of intestinal flora in a longevity / aging process, which comprises the following steps: step 1, selecting research objects: randomly selecting 30 old people of more than 100 years old, and selecting 30 old people of 60-70 years old as a control group; 2, basic condition investigation and physical examination of a research object; and 3, detecting technical indexes of a research object. According to the invention, the change of intestinal micro-ecology of the 100-year old people is preliminarily discussed, and the dominant flora with longevity characteristics and the biomarkers are determined. The influence of aging on intestinal microecology is obvious, so that the diversity of intestinal flora is obviously reduced, and the structural proportion of the intestinal flora is also changed; the intestinal flora spectrums of the same age group are relatively similar, that is, the core flora exists; the'core flora 'of different age groups has difference. By combining genetic backgrounds, lifestyles and environmental factors of different samples, the influence of different lifestyles and environmental factors on the structure and longevity of intestinal bacteria is determined.

The invention relates to the technical field of urban public service facility evaluation and space planning, and discloses a living circle identification and full-age adaptive facility supply and demand evaluation method based on resident flow. The core of the method is to dynamically capture an actual travel track of a resident by using mobile phone signaling data so as to identify a life circle range highly matched with an actual behavior; a two-dimensional demand weight matrix of groups and facilities according to age groups is constructed, and differentiated demands of different age groups such as children, young adults and old people for various public service facilities are finely quantified; by fusing multi-source data such as population distribution, facility point locations and real-time road networks, accurate matching evaluation of facility supply and demand services is realized by adopting an improved space interaction model; according to the method, the limitation that traditional planning depends on a static administrative boundary is effectively overcome, life circle division is more scientific, and the fineness and fairness of facility configuration are remarkably improved from the perspective of all-age demand evaluation.

The embodiment of the application provides a smart recommendation method and system based on children's digital picture book reading, which 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, introducing a contrast mechanism combined with user cognition to optimize the feature representation of the model; constructing a dynamically updated user portrait, which contains the current cognitive level label of the user; in response to the reading request of the user, adaptively fusing the user portrait and the reading request, and introducing a picture book age-appropriateness evaluation factor in the fusion process, wherein the age-appropriateness evaluation factor is determined based on the matching degree of the text difficulty, picture complexity of the picture book and the user cognitive level, and taking the fused label vector as the input of the trained recommendation model to obtain a recommendation list. According to the embodiment of the application, the model feature representation is dynamically optimized by combining the user cognitive development stage, the reading ability difference of different age groups is accurately adapted, and the recommendation accuracy and adaptability are improved.

We provide the system. [Solution] An information acquisition means that receives personal information of the elderly and young people and stores the information in a data storage means based on the interests and experiences of each generation, A generation function that generates common themes for intergenerational exchange using the information stored in the data storage means, The aforementioned generation function provides the generated interaction themes to the operating device, and a dialogue support function promotes interaction, A training generation function that generates cognitive function improvement training suitable for each age group, including the elderly and young people, The system includes an emotion analysis and support function that analyzes the emotional state of participants and generates supportive messages as needed, A suggestion function that proposes activities that can be enjoyed by all generations, A system installed in communication equipment or computer terminals.

A kind of epidemic risk based on age structure is judged method and system, module includes: epidemic transmission model construction module: for according to vaccination rate, vaccination benefit, infection rate, latent period, the reduction coefficient of the probability of being symptomatic, discovery period, discovery period extension rate, establish differential dynamic equation set, to construct epidemic transmission model.Contact frequency between each age group construction module: consider the influence of age structure on transmission, construct the contact frequency between each age group under different environmental settings, and add it to epidemic transmission model.Basic reproduction number calculation module: the basic reproduction number R0 is calculated using next generation matrix method respectively.Epidemic risk judgment model sensitivity analysis module: sensitivity analysis is carried out on epidemic risk judgment model, and the influence of vaccination rate, the reduction coefficient of the probability of being symptomatic, discovery period extension rate on the whole transmission process is studied.The present application helps to analyze the influence of multiple factors and age structure on epidemic transmission risk.

The embodiment of the invention provides a cross-age face recognition method and device, electronic equipment, a computer storage medium and a computer program product. The method comprises the steps that a prediction data set and a face real image of a first user in a first age group are acquired; the prediction data set comprises a face image of a second user in a second age group and various factor data influencing the face change of the second user; performing feature extraction on the prediction data set to obtain a prediction feature set, and processing the prediction feature set by using the trained face prediction model to obtain a face prediction result of the second user in the first age group; determining the similarity between the face prediction result and the face real image; determining whether the first user and the second user are the same user according to the similarity; according to the embodiment of the invention, when the cross-age face is predicted, not only is the face image considered, but also multiple factor data influencing the face change of the user are considered, so that the recognition accuracy of the cross-age face can be improved.

The invention relates to the technical field of attention detection, in particular to an fNIRS-based student classroom attention assessment system, which comprises a multi-channel fNIRS signal acquisition headband, a signal preprocessing module, a feature extraction module, an attention state assessment model, a data storage and management module and a visualization and feedback module, the attention state evaluation model is a sub-age evaluation model library formed by a plurality of sub-models of different age groups; through adaptive adjustment of filter parameters, a motion artifact correction strategy and an evaluation model, brain development characteristics, physiological noise characteristics and behavior mode differences of different age groups are fully considered, the accuracy and applicability of attention evaluation of various student groups are remarkably improved, and real personalized education monitoring is realized.

This invention relates to a visual training method for myopia prevention and control in children and adolescents, comprising: classifying individual data based on specific age groups and refractive characteristics, analyzing stimulus intensity distribution and dynamic contrast adjustment features, calculating if the visual stimulus baseline value is lower than a preset threshold, changing the pixel value change pattern to generate a first optimized image, smoothing edge features, increasing edge response intensity if the edge intensity does not meet the perceptual matching accuracy requirements to obtain a second optimized image, analyzing stimulus duration and visual feedback frequency, determining if the signal distribution is uneven, adjusting the image to generate a third optimized image, generating a visual stimulus sequence, iteratively comparing the perceptual matching accuracy of the sequence with the perceptual parameter set, determining the final suitable training image sequence, and finally outputting customized training content that reaches the neural activation threshold through activation rate calculation and response intensity mapping.

The invention discloses a traditional Chinese medicine psychological balance growth game system which comprises a role generation module, a level management module, an interactive feedback module, a data visualization module and a cross-group adaptation module. The role generation module is used for generating an initial role with one of five attributes; the level management module is used for providing levels and tasks matched with the age group of the user; the interactive feedback module is used for responding to a user breakthrough operation, triggering the reward mechanism sub-module if a task is completed, and judging whether to trigger the punishment mechanism sub-module and breakthrough is carried out again if the task fails; the data visualization module is used for presenting a psychological growth track of the user in a multi-dimensional visualization form and generating a growth report; and the cross-group adaptation module is used for realizing self-adaptive adjustment of game contents and interaction modes through parameterized configuration for groups with different ages, culture and physiological characteristics. The method gives consideration to requirements of user growth, professional guidance and cultural transmission, and can be widely applied to families, schools and psychological service institutions.

The system according to this embodiment aims to automatically identify and block inappropriate content so that children can safely enjoy video streaming sites. [Solution] The system according to this embodiment comprises a content analysis unit, an age restriction unit, a display unit, a keyword filtering unit, and an image recognition unit. The content analysis unit analyzes the content of a video streaming site in real time. The age restriction unit sets age restrictions based on the data analyzed by the content analysis unit. The display unit displays only content suitable for a specific age group based on the age restrictions set by the age restriction unit. The keyword filtering unit automatically blocks content containing specific keywords or phrases. The image recognition unit identifies and blocks inappropriate images or scenes in the video.

This invention discloses a motion teaching error correction system and method based on fine-grained temporal alignment, belonging to the field of artificial intelligence sports teaching technology. The system includes: breaking down standard sports movements into multiple fine-grained temporal stages; setting temporal time windows, posture key point thresholds, and error causal association rules between stages; constructing a two-dimensional temporal alignment parameter library for different age groups and sports projects; acquiring temporal frame data of student movements to be corrected; achieving fine-grained temporal alignment with standard movements through a dynamic temporal warping algorithm; detecting error points based on posture key point thresholds; tracing the root cause stage of the error using association rules; performing lightweight feature dimensionality reduction and error correction prompt generation on the terminal; monitoring computational latency in real time; and switching to a hybrid computation mode combining edge pre-computation and cloud optimization when thresholds are exceeded to ensure real-time performance. This invention can accurately locate motion errors and their root causes, is adaptable to multiple age groups and sports projects, and improves the efficiency and real-time performance of motion teaching error correction.

The utility model relates to the field of Lego teaching, and discloses a Lego teaching model which comprises a model body formed by connecting a plurality of Lego blocks, the Lego blocks comprise the first Lego block and the second Lego block, a plug pin is arranged between the first Lego block and the second Lego block, a cavity is formed in the plug pin, and the first Lego block and the second Lego block are arranged in the cavity. An insertion block I, an insertion block II and an expansion assembly for driving the insertion block I and the insertion block II to synchronously expand and move are arranged in the bolt in a sliding manner; according to the invention, through the clamping cooperation of the plug pins and the plug blocks and the arrangement of the expansion assembly used for driving the plug block 1 and the plug block 2 to synchronously expand and move, during teaching, children only need to simply rotate a rotary knob, the plug blocks can be driven to synchronously expand and be clamped with the Lego blocks, rapid and tool-free splicing between the Lego blocks is realized, and the teaching efficiency is improved. And the splicing difficulty is effectively reduced without mastering complicated hand-eye coordination skills or using tools such as screwdrivers, so that children of smaller age groups can easily master the splicing process and enjoy the splicing pleasure.

This application relates to the field of terminal technologies, and to a data management method and system, an electronic device, and a computer-readable medium. The method applied to a first electronic device includes: determining an age group of a user; displaying a first control if the age group of the user is a first age group, where the first control is configured to control a permission of a second electronic device to obtain first data, and the second electronic device is configured to manage the first electronic device; allowing or forbidding, in response to an operation of the user on the first control, the second electronic device to obtain the first data; or skipping displaying the first control if the age of the user is a second age group.

The application provides an old-age group mental health intelligent evaluation and intervention system based on multi-modal perception, and belongs to the technical field of mental evaluation and intervention. The system fuses four evaluation modes of pure images, pure texts and the like, captures micro behaviors in an evaluation process to construct a multi-dimensional evaluation matrix, extracts core representations and analyzes nonlinear cognitive biases, constructs and fuses a cognitive graph layer to realize dynamic weighting of evaluation modes and themes, inputs the weighting result into a pre-training model, and outputs an individualized mental intervention scheme. The application improves the accuracy and comprehensiveness of old-age mental evaluation, and makes the intervention scheme more targeted and in line with the cognitive physiological characteristics of the old-age group.