20 results about "Spatial cognition" patented technology

The invention provides a body navigation method, device and equipment based on brain inspiration structured spatial memory, and relates to the technical field of navigation.The method comprises the steps that a work memory module is used for determining a structured spatial memory module for searching a navigation instruction according to the complexity of the received navigation instruction, and the structured spatial memory module is used for searching the navigation instruction; the structured spatial memory module comprises at least one of a landmark memory module and a cognitive map module; responding to the navigation instruction, and performing hierarchical retrieval by using a structured spatial memory module of the navigation instruction to obtain a candidate coordinate set of the target; the candidate coordinate set comprises a plurality of candidate coordinates; determining an exploration sequence based on the confidence score of each candidate coordinate and the distance between each candidate coordinate and the coordinate of the current position of the body agent; the exploration sequence represents the exploration sequence of the candidate coordinates; and controlling the body agent to execute navigation operation based on the exploration sequence. According to the method, the robust space cognition and self-adaptive navigation capability of the intelligent agent with the body in a complex environment is realized.

The invention discloses a geophysical three-dimensional visualization and geologic model construction system, which belongs to the technical field of geophysical data processing and three-dimensional geologic modeling and comprises a multi-source data acquisition module, a volume rendering module, an interactive segmentation module, an uncertainty expression module, a multi-scale fusion module, an attribute interpolation module and a model construction module. Multi-source geophysical data are converted into a visual three-dimensional visual model through a volume rendering technology, an interactive segmentation algorithm is adopted to accurately extract a geologic body boundary, an uncertainty expression mechanism is innovatively introduced to quantify the reliability of the model, and a multi-scale fusion technology is integrated to realize seamless connection from a regional structure to an ore deposit fine structure. The Kriging interpolation functional product physical property parameter three-dimensional distribution field is provided, the spatial cognitive ability and the decision-making efficiency under the complex geological condition are remarkably improved, and a powerful visual analysis platform is provided for geological exploration and resource evaluation.

The invention discloses a virtual gift guiding method and system fusing AR navigation and LBS, particularly relates to the technical field of augmented reality, and is used for solving the problem that a user is difficult to position targets at different height levels due to lack of guidance in the vertical direction in a complex three-dimensional space in existing augmented reality navigation. Height data of a user and a target position are obtained and fused, a height difference is calculated, and the matching degree between the change trend of the height difference and the vertical motion intention of the user is analyzed, so that joint reasoning is intelligently triggered; further identifying a channel connected with a vertical layer, and evaluating the visual discoverability of the channel and the spatial cognitive state of the user; and finally, dynamically selecting a visual coding strategy based on an evaluation result, and generating and rendering a composite virtual guidance element which integrates horizontal and vertical direction guidance in an augmented reality interface, so that visual and accurate full-dimensional space navigation is realized.

The invention discloses a cognition-emotion evaluation method and system based on a supernormal child core feature theoretical model. The method comprises the following steps: presenting test tasks to multiple users at a computer end; collecting correct rate data of the work memory ability, the logical reasoning ability, the spatial cognitive ability and the speech ability by utilizing a cognitive test task; collecting non-cognitive test data by using a standardized scale; combining empirical weights, machine learning feature importance and large-scale norm data to establish a fractal dimension and comprehensive total score calculation rule; training a supernormal child identification model by taking Webster child intelligence test and Rayleigh reasoning test results as effect criteria; behavior data of new users are collected, and evaluation system construction and the supernormal child identification model are optimized and iterated. According to the method, various forms of cognitive test, non-cognitive test, static test and dynamic test are combined, and machine learning is utilized to analyze accuracy and non-cognitive scale scores, so that cognitive and emotional characteristics associated with supernormal child identification are accurately mapped.

The invention discloses an anesthesia ultrasound teaching system based on clinical ability guidance, and relates to the technical field of medical education and medical information. According to the application, progressive teaching levels are split according to a clinical ability growth path of spatial cognition, operation specifications and safety control through the construction module, teaching content, judgment conditions and process control logic of each level are clarified, and a structured path is provided for ultrasonic anesthesia teaching. Multi-modal data composed of ultrasonic image data and operation behavior data is collected in real time by means of a collection module, and a spatial cognition accuracy index, an operation normalization index and a safety control effectiveness index are obtained through quantification. Through cooperation of the judgment module, the unlocking module and the limiting module, the next level is unlocked under the condition that the current teaching level reaches the standard, and targeted intensive training is triggered if the current teaching level does not reach the standard, so that a learner is ensured to grasp core skills step by step, and the mastering stability of anesthesia ultrasonic skills and the clinical application safety are improved; and the teaching efficiency and the precision of personalized guidance are improved.

1. The name of the design product: multi-faceted color geometry teaching model. 2. The use of the design product: a magnetic and splicable teaching cube, each face can be combined or unfolded by magnetic adsorption, and the surface has bright color graffiti design, which is used for classroom teaching, children's spatial cognition training and creative splicing. 3. The design points of the design product: the combination of shape, pattern and color. 4. The picture or photo that best shows the design points: perspective view. 5. The design to be protected contains color.

A system for training visual-spatial cognitive abilities includes a storing unit storing plural main scripts and 3D graphic elements which are relevant to spatial cognition abilities. A processing may extract one of the main scripts and at least one of the 3D graphic elements to generate a training task and execute the training task within a preset time. A display interface displays the 3D graphic element based on the conducted training task.

The invention discloses a multi-modal joint evaluation method for the repairing effect of an eye-brain assembly, and belongs to the technical field of biomedical engineering and neuroscience. The method aims at solving the problems that an existing evaluation means cannot reflect function integration in real time in a living body state, a specific index is lacked to distinguish effective remodeling and disordered growth, and a single behavioral test is prone to interference, so that false positive is caused. Specific visual stimulation is presented to a transplantation receptor, local field potential of a primary visual cortex is synchronously collected, and Low Gamma frequency band signals are extracted to calculate direction selectivity indexes and brain network topological attributes; meanwhile, a hierarchical visual behavioral test for sensing spatial cognition from basic light is carried out; and finally, constructing a binary decision matrix based on thresholding scores of electrophysiology and behavioral indexes, and outputting a four-classification quantitative evaluation conclusion including effective functional repair, thereby realizing accurate and standardized judgment of the visual cortex repair effect.

The invention discloses a man-machine cooperative flight multi-dimensional cognitive state quantitative evaluation method for a low-altitude aircraft, and the method specifically comprises the steps: synchronously collecting the electroencephalogram, eye movement, skin electricity, heart rate and other multi-dimensional physiological data of a driver and the flight data of the aircraft; based on coupling of electroencephalogram, eye movement and flight data, a quantitative model of the driver three-dimensional space cognitive load is constructed; for specific emergencies, on the basis of analysis of event electroencephalogram related potential components and in combination with driver sight line, the duration of a key instrument is obtained again, and a situational awareness damage index is generated; and fusing the indexes with task management pressure indexes obtained based on the skin and the heart rate to obtain a multi-dimensional cognitive state comprehensive evaluation result, and dynamically adjusting man-machine interaction logic or an automatic driving takeover strategy according to the multi-dimensional cognitive state comprehensive evaluation result. According to the method, the cognitive state of the low-altitude aircraft driver in the complex three-dimensional environment can be objectively and quantitatively evaluated, and technical support is provided for man-machine collaborative optimization and definition of the safety boundary of the low-altitude aircraft.

The invention discloses a blind child orientation perception multi-sensory VR training system and method, and relates to the crossing field of auxiliary technologies and human-computer interaction. The blind child orientation perception multi-sensory VR training system comprises a walking blanket, a VR training module and a VR training module, wherein the surface of the walking blanket is provided with pressure feedback modules which are arranged in a cross-shaped array; the surface of the circuit board is provided with telescopic convex blocks arranged in a rectangular array, and the combination of the lifting states of the telescopic convex blocks forms a tactile path; detection modules arranged in a rectangular array are arranged on the surface of the sensing plate, a vibration module is integrated in each detection module, and the sensing plate further comprises a plurality of markers representing real scene elements; the marker is magnetically attracted to any detection module and is identified by the detection module which is magnetically attracted and matched with the detection module; and the processing control unit is in communication connection with the walking blanket, the route board and the sensing board. The method has the advantages that through dynamic fusion of touch (bump path + vibration feedback) + auditory sense + motion sense (walking input), the defect of sensory splitting existing in traditional VR training is overcome, and the spatial cognition integrity of blind children is improved.

This invention discloses a high-dimensional information cognition system and its training method. It generates n-dimensional geometric figures, constructs an m-dimensional spatial projection set of these figures, and uses this m-dimensional spatial projection set to train a neural network. This technical solution utilizes high-dimensional geometric figures, their projections, and temporal evolution information to train the neural system, constructing an intuitive spatial reasoning ability for the n-dimensional world. It promotes the formation of an intuitive thinking paradigm for intelligent agents to process high-dimensional figures and corresponding temporal evolution events, thereby achieving the evolution of the intelligent agent's high-dimensional information processing capabilities and solving the problem that current natural evolution of intelligent agents cannot break through the limitations of high-dimensional spatial cognition and reasoning abilities.

The utility model relates to a splicing toy which comprises a plurality of splicing blocks, each of the plurality of splicing blocks is in an irregular special shape, and the plurality of splicing blocks can be randomly spliced and combined to form various different three-dimensional structures; each of the plurality of splicing blocks is provided with a special-shaped body, the body of each of the plurality of splicing blocks extends towards the direction far away from the body to form a plurality of convex parts, and the plurality of convex parts extend towards different directions; each of the plurality of convex parts is provided with a smooth end surface; and a part of the plurality of convex parts are provided with grooves, the grooves are formed by recessing the end faces corresponding to the convex parts towards the body, and any two of the plurality of splicing blocks can be spliced or disassembled through the end faces. According to the educational toy, a closed shape can be formed in different combination modes, various open shapes can also be formed through arbitrary combination, extension splicing can be carried out at multiple angles in the space, and a user is encouraged to continuously carry out new attempts, improve space cognition and obtain thinking exercise.

The utility model relates to a three-dimensional assembled toy which comprises a machine head part, a machine body part and a machine tail part which are sequentially connected in an inserted mode, and braille alphabet marks are arranged on the machine head part, the machine body part and the machine tail part respectively. The machine head part, the machine body part and the machine tail part are sequentially connected in an inserted mode according to the braille alphabet identification sequence. The utility model has the beneficial effects that the toy belongs to a three-dimensional splicing toy, so that the visually-impaired children can have more entertainment, can feel the structure of the airplane and touch the shape of the airplane by splicing the airplane, and feel happy in splicing every time, so that the visually-impaired children can play games and learn by touching and assembling, and the interestingness of the visually-impaired children is improved. Gamification teaching is adopted in the toy, braille learning is assisted, and meanwhile operational ability and space cognition are promoted. Through playing, tactile sense and spatial awareness can be improved, braille learning is promoted, cognition is improved, self-confidence is cultivated, and interest in a mechanical structure is stimulated.

The present application relates to a kind of grid detection tracking framework constructs environment semantic occupancy and velocity field method and system, comprising: by a variety of vehicle-mounted heterogeneous sensors, the complete semantic segmentation map of environment is obtained by the deep learning of neural network;Grid level tracking is carried out on the complete semantic segmentation map, the fine-grained semantic bird's eye view generated by the upstream module is given, the occupancy and speed of each grid are modeled, and the particle is distributed to the grid, and the particle is updated;Grid level post-fusion is carried out, and fine-grained semantic and speed information are fused, and the attribute of the semantic, occupancy and speed of each grid in the environment is comprehensively understood, and enhanced drivable space cognition is formed.

This invention discloses a traditional Chinese medicine composition for the prevention, mitigation, or treatment of Alzheimer's disease, comprising 8-12 parts of Cistanche deserticola, 8-12 parts of Polygonatum sibiricum, 8-12 parts of Panax ginseng, 12-18 parts of Astragalus membranaceus, 12-18 parts of Angelica sinensis, 12-18 parts of Ligustrum lucidum, 8-12 parts of Salvia miltiorrhiza, and 8-10 parts of Panax notoginseng, all by weight. The traditional Chinese medicine composition of this invention significantly improves Alzheimer's disease-related symptoms in a mouse model of Alzheimer's disease, including the novel object recognition index, Y-maze spatial cognition index, water maze activity index, number and distribution of Nissl bodies in neurons, and β-amyloid protein deposition. It is expected to effectively prevent, mitigate, or improve different stages of Alzheimer's disease and its related complications and underlying diseases.

The application discloses a geophysical three-dimensional visualization and geological model construction system, and belongs to the technical field of geophysical data processing and three-dimensional geological modeling. The system comprises a multi-source data acquisition module, a volume rendering module, an interactive segmentation module, an uncertainty expression module, a multi-scale fusion module, an attribute interpolation module and a model construction module. Multi-source geophysical data is converted into an intuitive three-dimensional visualization model through the volume rendering technology. An interactive segmentation algorithm is adopted to accurately extract the geological body boundary. An uncertainty expression mechanism is innovatively introduced to quantize the model reliability. Multi-scale fusion technology is integrated to realize seamless connection from regional structure to deposit fine structure. Kriging interpolation function is provided to generate a three-dimensional distribution field of physical property parameters. The application significantly improves the spatial cognition ability and decision efficiency under complex geological conditions, and provides a powerful visualization analysis platform for geological exploration and resource evaluation.

The application provides a right brain development kit based on the whole brain development cycle, which combines fetal period neural plasticity intervention and early childhood spatial cognition training. The kit includes a building block base, an instruction building block, a mobile terminal, an image recognition server and a development board. Pregnant mothers activate the prefrontal lobe cognitive brain area through visual-spatial geometry training (such as angle trajectory operation), and the neurotransmitter is transmitted through the placenta to promote fetal right brain development; in the early childhood, the teaching medium (such as the conductive drawing device) is controlled through the building block instruction to continue the spatial thinking training. The image recognition server automatically analyzes the building block instruction and compiles the control code to realize seamless connection of the fetal-early childhood right brain development, and significantly improve the spatial cognition, creativity and learning efficiency.

1. Name of the design product: children's stroller toy. 2. Use of the design product: mainly used to exercise children's hand grasping ability, crawling ability, and cultivate children's spatial cognitive ability. 3. Design points of the design product: in shape. 4. Picture or photo that best indicates the design points: perspective view.

The invention discloses a system for treating Alzheimer's disease based on ventral hippocampus-prefrontal lobe loop, the system comprises ventral hippocampus-prefrontal lobe loop activation equipment, the ventral hippocampus-prefrontal lobe loop activation equipment is used for activating neuronal cells in a ventral hippocampus area of a patient to be treated, and the ventral hippocampus-prefrontal lobe loop activation equipment is used for activating the ventral hippocampus area of the patient to be treated. Therefore, neuronal cells in the inner side prefrontal cortex are activated through the abdominal side hippocampus-prefrontal cortex loop, the Alzheimer disease focus in the abdominal side hippocampus region and the inner side prefrontal cortex is improved, and the spatial cognitive ability of a patient is improved.

This invention belongs to the field of geospatial intelligent analysis methods, specifically a method for automatically constructing multi-scale dynamic spatiotemporal geographic maps based on vector data. It includes the following steps: S1, data standardization and basic spatial relationship calculation; S2, spatiotemporal integrated geographic entity modeling and map updating; S3, road network-enhanced spatial relationship modeling, integration, and map updating; S4, automatic construction of multi-scale geographic hierarchical systems and map updating; S5, map output. The execution of steps S1 to S4 is driven by an intelligent agent module, which dynamically adjusts the execution order and parameters of each step. This invention achieves end-to-end automated construction of geographic knowledge maps with dynamic spatiotemporal reasoning capabilities from multi-source, multi-period vector data, supports full lifecycle tracking of geographic objects, upgrades traditional geometric relationships to real and quantifiable path semantic relationships, and realizes cross-level spatial cognition and reasoning functions.