15 results about "Cognitive capability" patented technology

The application relates to the technical field of sales support, and discloses a medicine sales data analysis method, which comprises the following steps: constructing a cognitive map model; performing clinical path complexity grading; applying a clinical path complexity grading algorithm to analyze clinical decision process data of a medical institution, and calculating a clinical path complexity index; implementing cognitive-clinical path matching; adopting a cognitive-clinical path matching algorithm to process sales representative cognitive state data and clinical path complexity data, and calculating a matching degree score; performing hierarchical progressive information presentation; based on a hierarchical progressive information presentation algorithm, processing the matching degree score and the clinical path data, dividing information into different priority levels, and outputting an optimized information presentation sequence; and providing personalized clinical knowledge navigation; the application significantly improves the accuracy and effectiveness of professional information transmission by intelligently adapting the cognitive ability of a sales representative to the complexity of a clinical path.

The application discloses a cognitive ability testing method and system, first, a standard test board is set, and a space test model, a memory test model, a space-time linkage test model and a comprehensive evaluation model are generated, then a space positioning score is calculated through a test result of the space test model, a memory evaluation score is calculated through a test result of the memory test model, and a space-time linkage evaluation score is calculated through a test result of the space-time linkage test model, finally, the space positioning score, the memory evaluation score and the space-time linkage evaluation score are input into the comprehensive evaluation model, and a cognitive ability evaluation result is output; compared with the prior art, the application comprehensively investigates the cognitive ability of a patient from multiple aspects such as time, space and space-time linkage through the test model, avoids the adverse influence of a single dimension on the evaluation result, and thus the accuracy and comprehensiveness of the final test result are improved.

The application discloses an end-to-end voice dialogue system and method based on cross-modal retrieval enhancement, comprising a voice input and feature extraction module, a cross-modal retrieval enhancement module, an end-to-end voice generation module and a voice memory module. Through the system and method process setting, direct mapping and generation from voice to voice can be realized, error accumulation problems caused by modular architecture can be eliminated, and the overall robustness of the system is improved. Through the end-to-end model, the training and deployment process is simplified, the scalability and real-time interaction capability of the system are improved, and the system can be better applied to intelligent customer service and other application scenarios with extremely high requirements for accuracy and efficiency. Through the efficient cross-modal retrieval enhancement generation mode, relevant field professional knowledge can be retrieved from a text knowledge base in real time according to received audio, the accuracy and timeliness of the response information are ensured, direct, efficient and accurate retrieval from voice to text knowledge is realized, and the cognitive ability of the system in the vertical field is enhanced.

The application discloses a kind of multilevel geometric entity cognitive behavior modeling method, device and medium, belong to computer-aided path field.The method includes: in the part modeling stage, interactive feature pair (IFP) is associated, and the belief-desire-intention cognitive behavior model of multilevel geometric entity is established based on interactive feature pair;Wherein, multilevel geometric entity includes basic interactive feature pair (B-IFP), composite interactive feature pair (C-IFP) and part;According to the belief-desire-intention cognitive behavior model constructed, the part with cognitive ability realizes assembly path planning process autonomously.The application establishes the method of multilevel geometric entity cognitive behavior model, enhances the cognitive ability of part, reduces the heavy man-machine interactive operation in assembly process, effectively improves the intelligent degree of assembly path planning process.

To provide perception-based parking assistance for autonomous and semi-autonomous machine applications.SOLUTION: In various examples, perception-based parking assistance systems and methods for an ego-machine are presented. Example embodiments may determine a location of a real-world parking strip relative to the ego-machine and an associated parking rule for the parking strip. A virtual parking strip and one or more virtual parking signs may be generated based at least in part on one or more detected features in an environment of the ego-machine and a tracked motion of the ego machine, and the virtual parking strip may be used to track parking strip locations and associated parking rules. The virtual parking strips and associated rules may be relied upon by an ego-machine to determine parking locations and / or to navigate into a suitable parking spot.SELECTED DRAWING: Figure 1

This invention discloses a method and system for assessing the cognitive abilities of badminton players, belonging to the interdisciplinary fields of artificial intelligence, computer vision, and sports science. The system includes: receiving single or multiple synchronous video streams captured by a regular camera; performing hit event detection, rally segment clipping, and spatiotemporal standardization processing to generate video segments for the cue observation and reaction periods aligned to the moment of the hit. These segments are then input into a multi-stage cognitive reasoning network incorporating a knowledge-guided cue focusing network, an asynchronous neural causal discovery mechanism, and a scene-adaptive evaluation gating system. This network sequentially extracts key biomechanical cues, models the causal relationship between cues and responses, and performs scene-based evaluation and correction. After structured integration, a complete assessment report is output. The system requires no specialized hardware, is highly versatile, and can cover training institutions, schools, and individual enthusiasts at all levels. It overcomes the limitations of traditional surface-level motion analysis, accurately quantifying advanced cognitive abilities such as prediction efficiency and decision delay.

This invention relates to the field of artificial intelligence education and teaching technology, specifically to an intelligent method for generating interactive teaching content based on artificial intelligence. The method includes: receiving a personalized learning profile of a target learner containing a sequence of knowledge mastery, learning behavior patterns, and cognitive ability tags; generating a dynamic learner state vector through multimodal learning feature extraction and fusion; and constructing a dynamic knowledge subgraph by selecting related knowledge nodes from a pre-defined knowledge graph based on this vector. The dynamic learner state vector and the dynamic knowledge subgraph are input into a content generation engine, which simultaneously generates interconnected explanatory texts, interactive questions, and contextualized cases. The internal logical consistency of these three types of content is checked, and the difficulty is adjusted. After integration, a complete interactive teaching content unit is formed. This method generates related teaching content based on the learner's dynamic state and dynamic knowledge structure, optimizing the content logic and difficulty suitability.

A method for controlling an electronic device according to an embodiment of the present invention comprises: a consultation step in which the electronic device provides a voice of a digital human (AI agent) including an image in which the digital human is visualized and at least one query, and obtains a user's response to the query; a measurement step in which the electronic device obtains measurement values for five measurement items including the user's disposition, virtue, personality, cognitive faculty, and personal environments according to the response; and a classification step in which the electronic device identifies, on the basis of the obtained measurement values, the user's type associated with tolerance to digital addiction.

The application discloses a kind of education experiment synthesis student intelligent agent construction method, system and electronic equipment, it is related to artificial intelligence education simulation field.The method includes: initialization configuration covers the multi-dimensional feature parameter set of cognitive ability, personality characteristics and knowledge state, and builds simulation environment including private reasoning channel;Double closed loop mechanism is introduced in simulation interaction: use in for consistency check closed loop, based on multi-dimensional feature matching or reward model, real-time correction "role deviation" behavior;With state dynamic evolution closed loop, combine positive cognitive gain, forgetting curve and "inherent characteristics-transient state" separation model, real-time update agent knowledge and psychological state;Synchronous generation includes the structured data set of behavior traceability label.The application solves the problem of behavior homogeneity and unexplainable in education simulation, and can generate high reliable and attribution ability scientific research data.

This disclosure relates to a training method, apparatus, device, medium, and product for enhancing cognitive abilities, belonging to the technical field of brain function training. The method includes: in response to a cognitive training request from a trainee, acquiring the trainee's characteristic information; determining the high-level cognitive task indicated by the cognitive training request and the corresponding cognitive ability map; wherein, the cognitive ability map represents the explanatory power of each basic cognitive task for the high-level cognitive task; using the cognitive ability map, selecting target basic cognitive tasks that match the high-level cognitive task from a pre-set cognitive map database, and setting the target basic cognitive tasks and the high-level cognitive tasks as a target task group; displaying the target task group to the trainee; and, upon receiving the trainee's output of the final training result for the target task group, determining a target score representing the trainee's cognitive ability based on the final training result.

The present application relates to the field of electroencephalogram signal processing and artificial intelligence technology, in particular to a method and system for continuous evaluation of electroencephalogram state based on individual baseline correction. The method comprises: collecting and preprocessing electroencephalogram signals; extracting time-frequency domain and brain network features; constructing an individual baseline model using user resting state data; dynamically adjusting and fusing real-time features based on the model to generate a fused feature sequence; calculating a continuous state value through an evaluation function; and finally mapping it to a preset state level output. The core of the present application is to eliminate inherent differences between users through individual baseline correction and to adaptively capture key state information through dynamic feature fusion, thereby achieving personalized, continuous and high-robust evaluation of electroencephalogram state, significantly improving the model generalization ability and practical value, and can be widely applied to intelligent neuroengineering fields such as neurofeedback, fatigue driving monitoring, cognitive ability evaluation and the like.

The present application belongs to the technical field of training teaching aid, and particularly relates to a cognitive impairment operation simulation teaching aid. The cognitive impairment operation simulation teaching aid comprises a training box, a memory test area and a concentration test area separated by a main partition plate; a memory training assembly arranged in the memory test area for memory training; and a concentration training assembly arranged in the memory test area for concentration training. The present application integrates memory training, concentration training and execution training into one through a set of coherent operation processes. While performing memory matching and attention selection, the patient must plan steps and manage time to run faster than the sandglass. This design simulates the complex cognitive requirements in the real world and aims to improve the level of comprehensive use of cognitive ability of the patient in daily life.

This invention discloses a method for constructing high-quality fine-tuned chemical data based on knowledge graphs. First, multi-source chemical reaction data is collected to construct a chemical reaction knowledge graph. Then, five task subgraph patterns are defined within the chemical reaction knowledge graph. Instances of chemical reaction task subgraphs are retrieved and extracted from the knowledge graph, and these instances are transformed into instruction-based question-and-answer samples suitable for training a large language model, thus forming an instruction dataset. Subsequently, the instruction dataset is used to train the large language model. Finally, a test set is constructed to test the trained large language model for inference, and an evaluation system is used to systematically and quantitatively evaluate the model. The evaluation results are fed back into the construction of the instruction dataset and the extraction strategy for chemical reaction task subgraph instances. This invention provides a scalable, verifiable, and sustainably evolving training data construction mechanism, continuously improving the cognitive ability of large language models in chemical knowledge.

The application provides a two-dimension assessment method and system for the fall risk of the elderly based on a pressure foot pad, relates to the field of fall risk assessment, and comprises the following steps: collecting the plantar pressure distribution data of a subject under a test paradigm, and simultaneously collecting the cognitive confidence original score of the subject through an activity-specific balance confidence scale; extracting the pressure center coordinates and left-right foot load signals according to the collected plantar pressure distribution data, and calculating the balance function indexes; calculating the physiological ability total score through the index values in each function domain; simultaneously standardizing and converting the cognitive confidence original score to obtain the cognitive confidence score; calculating the comprehensive safety score, dividing the subject into multiple risk levels according to the comprehensive safety score, and outputting the assessment result; and the application constructs a two-dimension assessment system for physiological ability and cognitive confidence, carries out standardized scoring in combination with an age and gender norm, identifies the high-risk population of cognitive-ability mismatch type by using a difference index, and improves the accuracy and generalizability of the assessment.