38 results about "Cognitive development" patented technology

A smart busy board is provided utilizing a technology driven timer which can be set to predetermined time intervals for each of a plurality of interactive components disposed on the smart busy board. The timer mechanism and some of the interactive components are connected to electrical elements hidden within the interior housing of the smart busy board. Each of the interactive components engage the infant or toddler with some type of sensory output, such as movement, sound, light, and touch for a predetermined time interval. The busy board is designed to stimulate frontal lobe and cognitive development and improve motor skills.

The invention provides a hierarchical ethical adaptive method and system based on a development stage, and the method comprises the steps: collecting the multi-modal behavior data of a user, and recognizing the cognitive development stage of the user; constructing an ethical rule knowledge graph with a hyponym inheritance and context activation mechanism; fusing user acceptability and ethical conflict strength, and performing strategy balance based on a game model; calling the generative language model and the hierarchical template library to generate matched ethical feedback content; different culture expression styles are adapted through a culture migration network; and a user stage transition window is predicted based on the cognitive evolution trend, and an intervention mechanism and strategy adjustment are triggered. The system supports personalized ethical guidance strategy configuration, is compatible with various user types and cross-culture situations, realizes adaptive optimization and expression intellectualization of ethical decision, and improves user understanding degree, acceptability and ethical guidance effect. The method is suitable for multiple scenes such as education guidance, value intervention and man-machine ethical interaction.

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 an emotion and cognition driven children education interaction system and method, and relates to the technical field of man-machine interaction. Emotion is quantified through an emotion calculation module by using a titer awakening degree two-dimensional continuous model, and an emotion migration slope is predicted in combination with a time sequence convolutional network; accurate description and prospective prediction of the emotion dynamics of children are realized, and the accuracy and initiative of emotion guidance are remarkably improved; secondly, the constructed knowledge graph endows the nodes with three-dimensional dynamic attributes of mastery degree, interest intensity and associated confusion degree, and real-time updating is carried out according to interaction data, so that the cognitive development trajectory of children is dynamically described, and a solid foundation is provided for personalized teaching; and finally, proposals are actively pushed by setting collaborative windows of interest, cognitive correction and the like, and a structured knowledge injection interface is provided, so that parents are converted from passive supervisors to common constructors of education contents, and deep fusion of family intelligence and artificial intelligence is realized.

This invention belongs to the field of nutritional composition technology, specifically disclosing a composition for promoting brain cognitive development, its preparation method, and its application. The composition for promoting brain cognitive development provided by this invention includes transforming growth factor, casein phosphopeptide, immunoglobulin, and sn-2 DHA, and further specifies that the mass ratio of transforming growth factor, casein phosphopeptide, immunoglobulin, and sn-2 DHA is (0.1~1.4) ng:(40000~160000) mg:(20000~60000) mg:(20000~70000) mg. In this invention, the preferred ratio of transforming growth factor, casein phosphopeptide, immunoglobulin, and sn-2 DHA can achieve the effect of promoting brain cognitive development through a multi-dimensional synergistic mechanism.

The application discloses a robot cognitive development method based on ontology semantics, and comprises the following steps: constructing a robot article identification professional knowledge base based on attribute function and ontology information representation of article definition; information determination based on attribute discrimination and semantic search; and robot cognitive development based on attribute information addition. The application simulates the process of human memory, learning and cognition of articles based on an ontology semantic knowledge base, and through machine learning and sensor attribute information, the robot can actively cognize, learn, expand and accumulate learned knowledge and experience according to information data; the robot can continuously develop its cognitive ability through learning, automatically construct a robot article identification professional knowledge base of unknown articles, and based on a semantic structure of triplets, share knowledge and exchange operation logic between man and machine, so that the cognitive level of the robot is improved and the operation experience of an operator is improved.

The invention relates to the technical field of education informatization, and discloses a teaching system for middle vocational ideological and political education, which comprises a student emotional state acquisition module, a personalized learning path generation module, a virtual reality practice teaching module, an intelligent interaction guide module, a multi-dimensional teaching effect evaluation module and a teacher decision module, a special cognitive development model of the secondary vocational students is established through a secondary vocational student cognitive feature analysis unit, and the particularities of relatively weak cultural basis, insufficient learning initiative, cognitive feature concrete deviation and the like of the secondary vocational students are fully considered. The learning content adaptive unit can dynamically adjust the depth and presentation mode of the ideological and political education content according to the cognitive level and value tendency of the students, and ensures that the teaching content is matched with the acceptance of the secondary vocational students, thereby improving the adaptability and teaching effect of the teaching content.

The invention relates to the technical field of data processing, and discloses an IPTV education content intelligent navigation method and system based on voice recognition. The method comprises the following steps: constructing a knowledge point-course-subject three-level semantic tree through an educational knowledge graph neural network; performing cognitive modeling on the learning behaviors of the user to generate a user cognitive file; semantic analysis is performed on the voice data, and a query vector is generated in combination with a historical track; matching the query vector with the semantic tree, and screening candidate contents in combination with the cognitive archive; and performing continuity evaluation based on the session state to generate a navigation result. According to the method and the device, the problem that the recommended content is lack of systematicness and individuation due to the fact that an existing IPTV education platform cannot understand the education content knowledge hierarchical structure and the user cognitive development law is solved. And the education content recommendation accuracy and the learning path continuity are improved.

The invention belongs to the technical field of education artificial intelligence, and particularly relates to an adaptive learning path generation method based on a knowledge graph, which comprises a basic construction stage of constructing a double-layer knowledge graph and acquiring and standardizing multi-source dynamic data, and is used for constructing a course and cross-domain double-layer knowledge system and a data base, a three-dimensional learning condition analysis stage including knowledge dimension, dynamic learning condition dimension and cognitive development dimension; the cross-domain knowledge migration mechanism breaks course barriers, associates current learning with core course knowledge points of the same major, helps students establish a complete professional knowledge network, avoids knowledge fragmentation, embeds cross-domain knowledge points in combination with professional planning and competition requirements, realizes connection of current learning and future application, improves the practical value and migration ability of knowledge, and improves the learning efficiency. The knowledge association weight is dynamically optimized, so that path planning follows domain knowledge logic and fits individual learning feedback, students are assisted in understanding internal association among knowledge, and knowledge construction logicality is enhanced.

The present invention provides a nutritional composition comprising at least one lactose-N-fucose pentasaccharide, in particular lactose-N-fucose pentasaccharide-I (LNFP-I) or a combination of lactose-N-fucose pentasaccharide-I (LNFP-I), lactose-N-fucose pentasaccharide-II (LNFP-II) and lactose-N-fucose pentasaccharide-III (LNFP-III), for use in improving brain development and / or cognitive development in a subject. There is also provided a nutritional composition comprising at least one lactose-N-fucopentasaccharide, in particular lactose-N-fucopentasaccharide-I (LNFP-I) or a combination of lactose-N-fucopentasaccharide-I (LNFP-I), lactose-N-fucopentasaccharide-II (LNFP-II) and lactose-N-fucopentasaccharide-III (LNFP-III), and Bifidobacterium bifidobacterium.

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 invention discloses a highly absorbable, non-allergenic DHA brain-boosting oral liquid specifically designed for students of all ages, belonging to the field of functional nutritional beverage technology for teenagers. This invention uses high-purity Schizochytrium algae oil DHA and perilla seed active molecules as the core brain-boosting matrix, innovatively configuring a grade-specific ingredient system. The formula is customized for the physical condition and brain function needs of students at different grade levels: kindergarten, primary school, junior high school, high school, and university. Through a small-molecule cell-wall breaking extraction process, the nutrients are directly absorbed into the bloodstream and quickly converted into "brain gold" in the brain. This formula strictly avoids eight major food allergens, ensuring safety for all ages. It also specifically addresses sub-health issues related to learning across all grade levels, including early childhood brain development and emotional well-being, exam preparation efficiency and fatigue reduction for students preparing for higher education, and cognitive development and mental sustainability for university students. The product comes in standardized packaging of 50ml / vial and 15 vials / box, with a customized sweet taste tailored to different grade levels, making it highly acceptable to students. It has no side effects and is suitable for long-term healthy consumption by all school students, effectively improving brain efficiency and learning status across all grade levels, with broad market application prospects.

The invention discloses a cognitive development matching method and system based on multivariate culture and neuroplasticity. Comprising the following steps: (a) guiding a user to carry out multi-dimensional state evaluation, wherein the evaluation dimension is based on a holographic model containing six dimensions of flexibility, mental intelligence, emotion, body, relationship and environment; (b) on the basis of a multi-level psychosomatic model, an integrated intervention scheme is generated for the user, the multi-level psychosomatic model comprises at least four adjusting levels, and a corresponding adjusting tool is matched for each level. According to the cognitive development matching method and system based on multivariate culture and neuroplasticity provided by the embodiment of the invention, a customized scheme fused with an east-west method can be automatically generated based on scientific evaluation, and a user is guided to complete closed-loop practice from cognitive updating to behavior verification through a prediction processing theory. Meanwhile, the system is combined with ecological niche optimization suggestions and continuous data tracking feedback to help the user to realize stable and measurable cognition and mental and physical state improvement in daily life.

The invention discloses an intelligent teaching aid for child perception training in nursing practical training of secondary job. The intelligent teaching aid comprises a base, function buttons, a label card and a recognition device. The base is provided with a containing cavity, a loudspeaker and an operation platform, a control system is arranged in the containing cavity, and the control system is electrically connected with the loudspeaker; the function button is arranged on the operation platform, and the side face of the function button is provided with an insertion groove. The number of the label cards is multiple, and the multiple label cards are respectively provided with different identification labels. And the identification device is arranged in the plugging groove and is in communication connection with the control system. In this way, durability and operation safety of the teaching aid in the environment where children frequently use the teaching aid are ensured, and a stable bearing platform is provided for all interaction functions. A modularized label card is adopted as a content carrier, training themes are allowed to be freely replaced and combined according to teaching requirements or child cognitive development stages, and the application range of the teaching aid is greatly widened, and the teaching life cycle of the teaching aid is greatly prolonged.

The invention relates to the technical field of intelligent education testing, and discloses an intelligent English test lexicon system based on a cognitive development law, and the system comprises a cognitive lexicon generation module which is used for building a multi-dimensional lexicon screening model, covers the dimensions of a language learning law, age cognition, regional culture, interest expansion, textbook adaptation and the like, and is used for generating a multi-dimensional lexicon screening model; generating a word library matched with children's cognitive development; and the dynamic layering module is used for dynamically adjusting the vocabulary difficulty level according to the performance of the child in the test, including the hesitation index, the error mode and the interest coefficient. According to the method, the multi-dimensional lexicon screening model is established, multiple dimensions such as language learning rules, age cognition, regional culture, interest development and teaching material adaptation are comprehensively considered, it is ensured that the lexicon content is matched with the child cognition level, the misuse rate of abstract vocabularies is remarkably reduced, the integrating degree of the lexicon and child cognition development is improved, and the user experience is improved. And children can more accurately understand and apply English vocabularies.

The interesting rehabilitation training device comprises a bottom plate, vertical plates are fixedly mounted on the left side and the right side of the top of the bottom plate correspondingly, connecting frames are fixedly mounted on the left side and the right side of the top of the bottom plate and located on the inner sides of the vertical plates correspondingly, and a turnover mechanism is arranged at the top of the bottom plate; the turnover mechanism comprises a double-shaft motor, an output shaft, a transmission wheel, a transmission belt, a driven wheel and a sliding sleeve, through the arrangement of the turnover mechanism, richer and more personalized training experience can be provided for autistic children, the children are helped to make contact with various different toy teaching aids on one device, the game experience of the children is enriched, and the interestingness of the children is improved. And secondly, the all-in-one design can promote the sensory and cognitive development of the children, so that the children can understand and accept different types of stimulation more easily, and the development of social skills of the children is also facilitated because the children can be used together with other children to play interactive games.

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.

The application relates to the technical field of data processing, and discloses an IPTV education content intelligent navigation method and system based on voice recognition. The method comprises the following steps: constructing a knowledge point-course-subject three-level semantic tree through an education knowledge graph neural network; cognitively modeling user learning behaviors to generate a user cognitive profile; performing semantic analysis on voice data to generate a query vector in combination with a historical trajectory; matching the query vector with the semantic tree and screening candidate content in combination with the cognitive profile; and performing coherence evaluation based on a conversation state to generate a navigation result. The application solves the problem that an existing IPTV education platform cannot understand the knowledge hierarchy of education content and the user cognitive development law, leading to the problem that recommended content lacks systematicness and individualization. The accuracy of education content recommendation and the coherence of a learning path are improved.

People with autism spectrum disorder (ASD) may display unique and recognizable patterns of behavior, communication, social interaction, and cognitive development that differ from what is considered typical. It is critical to acknowledge and understand these distinctions in order to provide appropriate assistance and adjustments. Researchers are continuously conducting studies to elucidate the etiology of ASD and its impact on individuals with ASD. This invention involves a software that provides data collection and analysis regarding children with ASD. This program, which is only available to parents, allows for the monitoring and regulation of children with autism spectrum disorder's behavior, emotions, and range of motion. The use of this software application can help offer insights into the child's developmental progress and needs though gathering data and behavioral analysis.

The invention discloses milk powder rich in sialylated oligosaccharide and capable of regulating brain development and a preparation method of the milk powder. The sialylated oligosaccharide disclosed by the invention is a mixture of 3 '-sialylated lactose and 6'-sialylated lactose. The invention also discloses a formula of the milk powder rich in sialylated oligosaccharide and capable of regulating brain development. The milk powder comprises the following components in parts by weight: 620-720 parts of raw milk, 200-300 parts of whey protein powder, 15-25 parts of soybean phospholipid, 150-250 parts of OPO structure fat, 15-30 parts of linseed oil, 45-66 parts of coconut oil and 120-180 parts of sunflower seed oil. And 10 to 20 parts of sialylated oligosaccharide. The invention further discloses a preparation method of the milk powder rich in sialylated oligosaccharide and capable of regulating brain development. The milk powder developed by the invention has the effects of promoting brain growth and promoting cognitive development.

An acoustic instrument soother for infants and young children, combining a pacifier, a teether, and a mouthguard with a harmonica to generate sound. The device incorporates non-electronic musical elements, aiming to soothe and entertain young users while fostering early musical education. The harmonica component features multiple mouthpieces for sound production, activated by the user's inhalation and exhalation. Through the integration of music notation symbols engraved on its surface, the device provides vocal and music notation lessons, enhancing the user's auditory and cognitive development.

This invention discloses a method for constructing a knowledge base in the field of early childhood education that integrates knowledge graphs and large language models, belonging to the field of early childhood education method optimization technology. It involves collecting and cleaning preprocessing early childhood education data from multiple channels; extracting entities and relationships using a customized model to construct a structured knowledge graph; fine-tuning the large language model for the early childhood education domain; integrating knowledge from the knowledge graph and model through a gating mechanism with double verification; establishing a monthly update mechanism to achieve incremental learning; furthermore, it achieves personalized knowledge recommendations based on user profiles, optimizes interactive question answering through a combination of retrieval and models, and ensures data security through anonymization and access control. This invention, through the integration of multi-source data and intelligent technologies, constructs a precise and dynamic early childhood education knowledge base, more accurately understands children's needs, generates content that aligns with their cognitive development, achieves personalized learning recommendations, improves the interactive experience and knowledge service quality, while ensuring data security and promoting the digital upgrade of the early childhood education field.

This invention relates to the field of cognitive testing techniques and sensor-based measurement systems to create a block design test-based visual attention and visual memory 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 an eye-tracking data acquisition module to record gaze direction, eye movements, and attention duration in real-time during the process of observing and arranging blocks. The eye-tracking data obtained is then processed to analyze visual attention patterns, focus shifts, and their relationship to the process of remembering and arranging patterns that represent the user's visual memory ability. Unlike conventional methods that rely on subjective observations by the examiner, this system is capable of conducting objective, measurable, and data-based assessments of visual behavior.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 decline in the elderly.

The invention discloses a children education strategy generation method and system based on multi-modal perception, and a medium, and relates to the technical field of children education strategies and interaction. Comprising the following steps: acquiring first modal behavior data and second modal behavior data of a child in a teaching process; according to the first modal behavior data, a ResNet-18 model is adopted to recognize the facial emotion of the child, and a first emotion classification result is obtained; according to the second modal behavior data, adopting an SVM classifier to classify the voice emotion to obtain a second emotion classification result; based on a D-S evidence theory, fusing the first emotion classification result and the second emotion classification result to obtain a final emotion classification result; according to the final emotion classification result, the development stage, the age interval, the symbolization ability and the logical reasoning threshold value, a four-dimensional evaluation matrix is constructed, and a teaching strategy suitable for the current state of the child is generated. According to the invention, the teaching content is dynamically matched with the children cognitive development stage.

The invention relates to an ideological and political education resource recommendation method, system and device and a medium. According to the method, historical interaction behavior characteristics of a user and multi-dimensional cognitive characteristics of ideological and political education resources are extracted, a stage vector representing long-term cognitive competence of the user is generated based on a pre-training classifier, and the cognitive load state of the user is dynamically deduced from a real-time behavior sequence in combination with a gating circulation unit and a time attention mechanism; user interest preferences are coded by using a self-attention model; a fusion mechanism is designed, the matching degree between resources and user interests and the cognitive matching degree between the resources and a user long-term cognitive stage and a real-time cognitive load are calculated respectively, self-adaptive weighted fusion and sorting are conducted on the two matching degrees through a gating value dynamically regulated and controlled by the real-time cognitive load, and traditional single interest matching recommendation, single interest matching recommendation and real-time cognitive load matching recommendation are achieved. And personalized ideological and political education resource recommendation which gives consideration to the real-time cognitive state and the long-term cognitive development level of the user and can actively avoid cognitive overload and promote effective learning is achieved.

The present application relates to the technical field of educational big data analysis and personalized education, and discloses a deep learning effect correlation mining method based on children's animation watching behavior data, which specifically comprises the following method steps: step one, constructing a three-dimensional data model, the three dimensions including behavior dimension, content dimension and effect dimension; step two, through a group difference analysis model, an effective animation watching behavior path is identified for children groups of different ages. The present application can comprehensively and accurately evaluate the learning process and effectiveness of children by constructing a three-dimensional data model (behavior dimension, content dimension and effect dimension). Experimental data shows that after using the method, the vocabulary standard rate of the small child group (0-6 years old) is improved to 68%, and the long-time immersion mode conversion rate of the big child group (7-12 years old) is improved by 75%. This data-driven optimization mechanism ensures that the learning path is highly matched with the cognitive development law of children, thereby significantly improving the English enlightenment effect.

The invention relates to the technical field of emotional accompanying robot memory systems, in particular to a long-term emotional memory and optimization method and system based on an intelligent agent, and the method mainly comprises the steps of fusion of an over-dynamic attention mechanism and a structural causal model (SCM), realization of deep interaction and fusion of multi-modal emotional features, and realization of long-term emotional memory and optimization of the long-term emotional memory and optimization of the long-term emotional memory and optimization of the long-term emotional memory and optimization of the long-term emotional memory. Based on a Bayesian network decision model of an age-sensitive Bayesian cognitive development stage theory, whether a user enters a new cognitive stage or not is judged, a migration process is triggered, a neural symbol mixed memory management architecture is adopted, the memory weight is dynamically adjusted according to emotional characteristics and causal relationships, and short-term and long-term memories are distinguished. A neural symbol knowledge distillation technology is utilized, and multi-dimensional evaluation indexes are combined, so that seamless migration of emotion memory is realized. By means of the method, the system can continuously adapt to growth changes of the user, and coherent and deep emotion interaction experience is provided.

The application discloses a kind of based on cognitive target's mechanical toy design method and system, belong to educational information technology field.Therein, the method presented by the application includes: the multidimensional feature of mechanical contrivance is extracted and is classified, obtains several mechanical types;Obtain the fuzzy score of expert on the association strength of mechanical type and children cognitive dimension, establish quantitative mapping database;Receive the target cognitive dimension and target age section input by user, match corresponding target mechanical type;Based on target mechanical type, generate the toy design scheme including structure parameter, play instruction and cognitive evaluation suggestion.The application realizes the automatic, standardization generation from cognitive target to toy design scheme by digital fusion and quantitative modeling of traditional mechanical structure and children cognitive development theory, and supports age adaptive parameter adjustment, significantly improves the educational pertinence and development efficiency of toy design.

The invention relates to a nutritional composition comprising a probiotic and a mixture of human milk oligosaccharides (HMOs), wherein the probiotic is the Bifidobacterium longum ssp. infantis R0033 strain (CNCM I-3424) or a strain having at least 97% average nucleotide identity with CNCM I-3424, and the mixture of HMOs comprises or consists essentially of 2'-fucosyllactose (2'-FL) and at least one additional HMO selected from an additional fucosylated HMO, a neutral core HMO, and / or a sialylated HMO. The invention further relates to the nutritional composition for use in supporting or improving gut health and / or a healthy immune system and / or cognitive development, such as motor skills, learning, language skills, spatial cognition ability, in a subject.

This invention discloses an AI-based method for identifying and personally recommending children's reading interests, specifically relating to the fields of data processing and intelligent recommendation technology. The method includes: collecting multimodal data from children's reading and performing spatiotemporal alignment preprocessing; using a deep learning model to perform multimodal fusion identification of emotional pleasure, focus index, and interest focus; constructing a knowledge graph of reading materials and a graph of children's developmental stages; performing similarity retrieval based on interest focus; calculating the "zone of proximal development deviation value" to filter a preliminary recommendation list; using interactive trial reading verification; and generating a final personalized recommendation list. This invention accurately captures children's latent interests through multimodal emotion computing, combines dual knowledge graphs to match cognitive development stages, and forms a closed loop through interactive verification. It solves the technical problem that traditional recommendation methods are unable to adapt to the dynamic reading needs of young children, significantly improving the accuracy and personalization of recommendations.