48 results about "Spatial cognition" patented technology

The invention relates to a real-time three-dimensional visualization method of a large-scale scene city building based on spatial cognition. The method is based on a gestalt psychology and a city image theory. A single chain clustering method is used to cluster large-scale building models. Delaunay triangulation and broken line simplification methods are used to rapidly combine and simplify a classification result so as to establish a multiple-level of detail model of the city building and realize interactive three-dimensional visualization of the large-cene and high-density city building. The method provided in the invention accords with principles of approach, similarity, syntropy and the like in the gestalt theory and simultaneously essential factors, such as a city road, a boundary, a landmark city image and the like, can be maintained.

The invention discloses a spatial cognition rehabilitation training system based on virtual reality and eye tracking. The system comprises a virtual reality device. The virtual reality device comprises a scene display assembly which is used for displaying a virtual reality scene and a training task scene, an infrared eye tracking assembly which obtains eye movement data in real time when a trainee completes the task according to training task requirements and transmits the eye movement data to a data analyzing module; a data analyzing module which analyzes eye movement indexes when the trainee completes the scene task according to the data obtained by the eye tracking assembly, evaluates the visual space processing characteristics of the trainee, and transmits the result to an eye movement guiding cognition training module, and the eye movement guiding cognition training module which calls different eye movement prompting modes for guiding machining according to the visual space processing characteristics. The spatial cognition training is conducted through the virtual reality scene, guiding processing is conducted in a targeted mode, and the method has more ecology, effectiveness and operability compared with the prior art.

The invention discloses a scene cognition map building and navigation method based on a mouse cerebral hippocampal, and belongs to the technical field of robot environment cognition and motion navigation. When a position discharging rate explored by a robot is larger than a position cell discharging threshold, discharging information Pfire, position Plocation and environment scene information O need to be recorded, and the information is recorded on a scene cognition map. Robot navigation, namely, navigation from an initial position to a specific object position in a specific scene, is finished through space information stored on the scene cognition map. By adopting the scene cognition map building and navigation method, the robot can explore an environment autonomously, environment information is changed into the scene cognition map of the robot, and a corresponding navigation strategy is made according to the cognition map. The whole set of system has a good space cognition effect, and can be applied to scene cognition map building and navigation of indoor environments such as plants, families and laboratories, and outdoor environments such as streets.

The invention provides an image geography marking method based on spatial cognition learning and relates to the field of deep learning and image classifying and marking. The image geography marking method comprises the steps that images are preprocessed to make a training set and a verification set meet an input format of a deep learning tool; the deep learning tool is utilized to establish a convolutional neural network, and spatial distribution of image features is learned by using a global average pooling layer; the training set is used for performing end-to-end training, so that a network automatically learns the geographic features of images, and parameters of the network are modified in the training process, so that the global average pooling layer has the high sensitivity to the geographic features; a training model is saved, and the model is verified by using a verification set; the saved training model is used for calculating a new testing object to obtain geographic marks of the images. The geographic features in the images are automatically learned from the input images, the interference to manual feature selection is avoided, and automatic and efficient feature learning is achieved in large-scale image geographic feature learning tasks.

The invention belongs to the technical field of map user spatial cognition ability analysis, and particularly relates to a multi-eye movement data-based map symbol user interest analysis method. The method comprises the following steps of: 1, designing an eye movement experiment to obtain eye movement data, and recording tested eye movement data by utilizing an eye tracker; 2, eye movement data preprocessing: screening eye movement types in an interest area, and only retaining three types of eye movement data with single meanings to serve as data basis; 3, establishment of a user interestingness formula: respectively calculating a time, a frequency and size user interestingness, and respectively calculating weights of the three types of data by utilizing an entropy weight method so as to realize the construction of the user interestingness calculation formula; and 4, user interestingness evaluation: carrying out statistic on evaluation scoring values, for a map symbol, of all the pieces of tested data by utilizing a user interview method, taking the evaluation scoring values as real values to carry out measurement, and calculating the correctness of a user interestingness calculation result through an average correctness formula so as to finally determine the reliability and accuracy of the user interestingness calculation formula.

The invention discloses an intelligent three-dimensional processing method of a two-dimensional sketch. The method comprises the following steps: (1), capturing and drawing a track of a free-hand sketch of a user to obtain a two-dimensional closed contour; (2), extracting a middle skeleton line from the two-dimensional closed contour; (3), lifting the middle skeleton line according to a selected proportion; (4), connecting skeleton points and peripheral contour points by an elliptic curve to form a rough linear structure of a three-dimensional model; and (5), obtaining a three-dimensional point cloud based on the linear structure of the three-dimensional model and constructing a continuous and smooth three-dimensional mesh model by using a mesh generation algorithm. According to the invention, the three-dimensional attribute of the free-hand sketch are combined with virtual-reality interaction, so that the three-dimensional spatial cognition, the things relation cognition, and operational capacity development of children can be promoted. The utilization of the method has the great significance in expanding the cognitive domain and the horizon of the children, improving the learning interest of the children, and stimulating the creativity and imagination of the children.

The invention discloses a preparation method of a walnut active peptide for improving the memory function, and belongs to the technical field of active peptide preparation. Degreased walnut dregs usedas a raw material are crushed and homogenized, then are fully hydrolyzed by an alkaline protease and a neutral protease through a two-step controlled enzymatic hydrolysis technology, and undergoes amembrane separation technology to obtain the polypeptide with having a molecular weight of above 10 kDa, the polypeptide with having a molecular weight of 10~3 kDa and a polypeptide having a molecularweight of below 3 kDa. The method allows the walnut peptides with high hydrolysis degree and high activity to be obtained under the co-action of above two enzymes. The influences of the peptides on improvement of the memory of experimental animals are evaluated by using spatial exploration test, navigation test, step-through test and step-down test in a mouse Morris water maze as indicators. Results show that the small peptide (<3 kDa)with a short peptide chain can improve the spatial cognition and learning ability of dysmnesia mice, is a food-borne peptide, has a high safety, and can be taken for a long term.

Described are systems for spatial cognitive ability assessment wherein a subject is able to manipulate one or more object(s) that is monitored by a device for recording motion attached to the object(s), the subject, or both that is able to generate motion electronic data. Also described are methods for assessing spatial cognitive ability.

The invention relates to a method and an apparatus for extracting a two-lane road on a map. The method comprises the steps of 1) selecting any road curve L, establishing a buffer area which takes L as a center and R as a radius, and looking for road curves contained in the buffer area or intersected with the buffer area to establish a matching candidate set of L; 2) calculating an included angle between L and each road curve in the matching candidate set, and judging direction consistency of L and the road curve; 3) calculating the distance between L and the road curve in the matching candidate set, and judging consistency of the distance and the width of a to-be-extracted two-lane road; and 4) when the direction consistency meets a direction setting condition and the distance consistency meets a distance setting condition, indicating that the road curve in the matching candidate set and L are to-be-extracted two-lane road curves. According to the method, attribute information of road elements does not need to be known, the requirement on data quality of the road is low, the two-lane road in a road network can be effectively identified only by knowing coordinate data of the road, and spatial cognition characteristics of human being are met.

The invention is suitable for the field of landmark description, and provides a hierarchical spatial location description method and device based on a Voronoi diagram and a landmark. The hierarchical spatial location description method based on the Voronoi diagram and the landmark comprises the steps that the Voronoi diagram of the landmark is generated for the landmark in space; a hierarchical spatial reference framework of the landmark is established; the multiple landmarks are selected to serve as reference objects according to a target object, and the hierarchical spatial location description of the target object is established according to the reference objects. According to the hierarchical spatial location description method and device based on the Voronoi diagram and the landmark, the problem that the spatial location of the target object is not in accordance with the human spatial cognition due to the fact that the spatial location of the target object is described only by adopting a hierarchy reference system can be solved; a hierarchical spatial reference system is established through the Voronoi diagram, and the spatial location description of the target object is automatically generated on the basis of the reference system; the description is in accordance with the hierarchy of the human on the spatial cognition and the habits in different scenes, and therefore the locating efficiency of the target object can be improved.

The invention discloses a medicine for preventing and treating senile dementia. The medicine is prepared by mixing 0.3-99.7 parts of industrial hemp semen cannabis extract and 0.3-99.7 parts of industrial hemp cannabinoid to be uniform. The pharmaceutical composition has an obvious relieving effect on spatial cognition disorder and study and memory function decline caused by senile dementia and cerebral ischemia, the content of inhibitory amino acid aspartic acid, glycine and gamma-aminobutyric acid on the cerebral cortex of a senile dementia rat can be increased, the toxicity of excitable glutamic acid can be reduced, generated beta-AP in AD rat hippocampus can be reduced, and an obvious relieving effect is achieved for memory function decline caused by cerebral ischemia; mouse dysmnesia caused by NaNO2 can be obviously relieved. All effects are superior to those of cannabidiol. The medicine has a definitely remarkable effect on preventing and treating senile dementia and has good application and popularization prospects.

The invention discloses a three-dimensional scene semantic analysis method based on HoloLens space mapping, which is specifically implemented according to the following steps of: scanning and reconstructing an indoor real scene through HoloLens to obtain grid data a of three-dimensional space mapping of the scene; converting the obtained grid data a into point cloud data b, and completing preprocessing and data labeling of the point cloud data b; continuously repeating the first two steps until required indoor data is acquired and labeled, and making an indoor point cloud data set and a category information lookup table; performing model training on the three-dimensional scene semantic neural network, and storing a training model M; and making a HoloLens scene semantic analysis toolkit, completing scene information labeling and spatial region division, and improving the cognitive ability of HoloLens to the space. According to the method provided by the invention, the space mapping capability of the HoloLens and the capability of directly observing the distribution and category of the space objects in the HoloLens can be improved, and the perception capability of the HoloLens to the space environment is improved.

The invention discloses a man-machine cooperation natural language space navigation method and system, and the method comprises the steps of enabling a robot to receive a space navigation voice instruction transmitted by a user, and converting the space navigation voice instruction into a corresponding navigation instruction array according to a preset grammatical rule, wherein the space navigation voice instruction belongs to a natural language; enabling the robot to collect the position and attribute of a landmark object in an environment where the robot is located; determining a spatial cognition map of the robot according to the attributes of the landmark objects; enabling the robot to perform cognitive reasoning on the navigation instruction array based on the spatial cognitive map, determine the spatial three-dimensional coordinates of a destination to be reached by the robot required by the navigation instruction array in the spatial cognitive map, and determine the action to beexecuted when the robot reaches the destination; and enabling the robot to execute a related navigation action according to the spatial three-dimensional coordinates of the destination and the actionto be executed so as to reach the destination. According to the present invention, the understanding of the robot on the intention of the human natural language space navigation instruction is enhanced.

The invention provides application of catechol glycoside compounds to preclinical Alzhemier's disease (PCAD) and pre-mild cognitive impairment (Pre-MCI). The structural formula is shown in the specification. The compounds with the structural formula can be extracted from natural products or synthesized. Research results show that the compounds are capable of reducing oxidative stress level and inflammatory response in a nerve cell system, and protecting nerve cells. The provided catechol glycoside compounds are capable of substantially improving the spatial cognition capability of an AD mouse model, and have excellent effect when used as a medicine for interfering PCAD and Pre-MCI.

The invention discloses a spatial cognitive ability training method and system based on VR equipment, and the training method comprises the steps: A1, receiving a scene triggering instruction, and displaying a virtual reality scene; A2, receiving a training level instruction, and determining corresponding path information; A3, receiving a training starting instruction, displaying a current user role in the virtual reality scene, and automatically walking according to the path information; A4, when the walking direction needs to be selected at the intersection of the path information, sending an operation prompt tone to the user; A5, receiving direction information triggered by a user, judging whether the direction information is correct or not, and if not, sending out a selection error prompt tone; and A6, receiving direction information triggered by the to-be-trained user again, judging whether the direction information is correct or not until the triggered direction information is correct, and enabling a current user role displayed in the virtual reality scene to automatically walk according to the path information until a destination is reached. According to the invention, the user can train the spatial cognitive ability in the virtual reality scene.

The invention belongs to the technical field of computer-aided design, and discloses an interactive system and method of campus space cognition and activity and a processor. The system comprises a drawing module, an investigation module, a data sorting module, a data processing module and a data analysis module. realizes the accurate expression of the campus spatial cognitive intensity map and thespatial activity intensity map by using the GIS technology, finds out the interactive influence difference between the university students' spatial cognition and the spatial activity, and analyzes the causes of the inconsistency of the two intensities. By testing whether the spatial cognition and spatial activity intensity of college students are consistent, this paper analyzes whether the layoutof campus facilities is reasonable, thereby providing a user perspective for the layout of campus facilities to enable the campus planning take into account the cognitive ability of users, and carryout the layout of facilities more reasonable in the planning. At the same time, the system can also be extended to the small-scale spatial regional planning, regional facilities layout evaluation andoptimization.

The invention discloses a method for manufacturing and using a microscopic stereo view. Two digital single lens reflex cameras are arranged on the left external connecting arm and the right external connecting arm of an operating microscope, a left image and a right image in pair are formed by taking a photo with the two cameras simultaneously, through post processing, the overlapped parts of theleft and the right images in pair are respectively put at the left side and the right side of one newly created picture, the whole picture is evenly filled, and then the picture is printed and outputto form one microscopic stereo view. During the manufacturing process of the microscopic stereo view, the structure of the traditional operating microscope is fully utilized to ensure that images aresimultaneously acquired in a simple and convenient process; and when the view is observed stereoscopically with a stereo view mirror, the images are vivid, colorful and stereo, so that the spatial cognition of a trainee is greatly improved, the learning interest is increased, and the learning efficiency is improved. The method is particularly suitable for medical teaching, research and communication.

A method for improving subject's spatial cognition and spatial memory includes presenting spatial information to the person through non-visual means, parcellating the image to enhance understanding of the nature and relationships of the image components to augment image memory, drawing the image, detecting and encoding the errors in the drawing, and providing interactive feedback based on the individual's drawing performance. The methodology includes audio-haptic feedback to present the spatial image information non-visually using an audible signal that varies as a function of the distance of the finger / stylus from the regions of a display that express the image features.

A method for improving subject's spatial cognition and spatial memory includes presenting spatial information to the person through non-visual means, parcellating the image to enhance understanding of the nature and relationships of the image components to augment image memory, drawing the image, detecting and encoding the errors in the drawing, and providing interactive feedback based on the individual's drawing performance. The methodology includes audio-haptic feedback to present the spatial image information non-visually using an audible signal that varies as a function of the distance of the finger / stylus from the regions of a display that express the image features.

The invention belongs to the field of biomedicine and particularly relates to a method for establishing an experimental model for subclinical hepatic encephalopathy (SHE). In the method of the invention, an experimental rat liver cirrhosis model caused by composite factors such as high fat and low protein of carbon tetrachloride is subjected to learning, recall test and evoked potential test of a nervous system and a brain function and the learning, memory and spatial cognition impairment and nerve electrophysiology test abnormity of the model are monitored, so that the method achieves statistical significance compared with the normal comparison group and a relatively ideal SHE animal model is established. An established experiment animal model provides a platform for the research, diagnosis and treatment of SHE and has high clinically practical meaning and value.

The invention relates to an application of beraprost sodium in preparation of a medicine for improving vascular dementia. Experiments show that the beraprost sodium can obviously improve the spatial cognitive memory ability and explore behaviors of vascular dementia mice, and the acting mechanism of the beraprost sodium is probably definitely related to the fact that oligodendrocyte precursor cells are promoted to differentiate into mature oligodendrocytes, myelin sheaths are further increased and the white matter damage effect is iimproved. The function of the beraprost sodium is primarily researched by using the modern biological technology and the bioinformatics analysis. The research shows that the beraprost sodium has a certain improvement effect on the white matter damage, and further shows that the beraprost sodium can improve the cognitive impairment of vascular dementia patients, so that the beraprost sodium can be used as a targeting drug for improving cognitive impairment of vascular dementia patients, and has potential huge application value for promoting treatment of vascular dementia. Therefore, the beraprost sodium has a good application prospect in the medicine for preventing and treating vascular dementia.

Described are systems for spatial cognitive ability assessment wherein a subject is able to manipulate one or more object(s) that is monitored by a device for recording motion attached to the object(s), the subject, or both that is able to generate motion electronic data. Also described are methods for assessing spatial cognitive ability.

The invention relates to the technical field of virtual reality, in particular to an intelligent spatial cognitive competence evaluation system and method based on virtual reality, and the system comprises a virtual reality module, a data recording module, a data processing module, an intelligent evaluation module and a database. The virtual reality module comprises a cognitive task unit and a master control interaction unit, provides a task login interface, an immersive virtual reality scene and a water maze cognitive test task, and realizes interaction between a user and a virtual reality scene; the data recording module is used for collecting and storing task performance data and behavior data of the user; the data processing module comprises data preprocessing and feature extraction; and the intelligent evaluation module automatically predicts a spatial cognitive ability score by using a machine learning regression model. According to the method, the virtual reality technology is applied to spatial cognitive ability research, automatic evaluation is realized by using a machine learning algorithm, the ecological effectiveness and convenience of evaluation are improved, and a new means is provided for application of spatial cognitive ability evaluation in multiple scenes.

The invention provides a three-dimensional visual analysis method and system, and the method comprises the steps: receiving the three-dimensional sight point coordinates, sent by an eye movement capturing device, of each participant in a virtual reality environment in real time; And carrying out visual analysis on the three-dimensional space coordinates of the sight points of all the participants.The technical problem that in the prior art, three-dimensional space elements which cannot affect spatial cognition and the three-dimensional space positions of sight points cannot be subjected to three-dimensional space positioning is solved; the technical effect of positioning and identifying the spatial elements influencing spatial cognition and the three-dimensional spatial positions of the sight points in the three-dimensional space is achieved; The method alleviates the problem that the sight line, the sight distance and the group superposition analysis cannot be carried out on the spatial cognitive experiment data in the prior art, and achieves the technical effect that the sight line, the sight distance and the group superposition analysis of the spatial cognitive experiment datacan be carried out in the three-dimensional basic model.

The invention discloses an interest point landmark path guiding method of spontaneous geographic information and relates to the mapping geographic information technology field. The path guiding methodcomprises the following steps of step1, based on Weibo social platform, acquiring VGI-POI check-in data; step2, preprocessing the acquired VGI-POI check-in data; step3, calculating validity calculation on the VGI-POI check-in data; step4, using a VGI-POI landmark path to guide selection of an optimal path; and step5, based on the optimal path, carrying out VGI-POI landmark path guiding. In the invention, path guiding can be provided for people trips, path-guided description information according with spatial cognition habits of people is generated, and a basis and reference are provided for people to scientifically select a travel route; limitations of a traditional navigation method, POI and a traditional POI landmark path guidance method are overcome to some extent so that path findingtime is reduced, psychological burden is decreased and navigation efficiency is increased; and characteristics that consumed cost is low, path guiding accords with the spatial cognition habits of people and actual usage is convenient are achieved.

The invention discloses a behavioral experimental device and method for visual-spatial cognitive memory of animals; the behavioral experimental device comprises a shell, shading plates, detection components, experimental levers and turning plates. Separate experimental chambers and food chamber are defined within the shell; the side wall of the shell is provided with hand openings communicated with the experimental chambers; the bottom wall of the experimental cavity is provided with food pickup openings communicated with the food chamber; the shading plates are slidably arranged on the shelland are fitly arranged on the side wall of the shell provided with the hand openings; each detection component includes a timing unit configured to detect whether one shading plate closes the corresponding hand opening and whether the arm of an experimental animal passes through the hand opening; each experimental lever is sleeved with a grip; and the turning plates are rotatably fitted to the food pickup openings. The experimental difficulty of the experimental device is relatively low, and allows the cognitive level of experimental animals to be well quantified.

The invention provides an indoor positioning method and system integrating spatial cognition and position signal detection, and the method comprises the steps: receiving the position description information of a user, and obtaining the address information from the position description information of the user; Positioning the position of the user by using the detection signal intensity of the knownsampling point and the received user position detection signal intensity to obtain positioning information; And fusing the address information with the positioning information to obtain user positioninformation. According to the method and the system provided by the invention, two positioning methods of user space cognition and position signal detection are fused, so that a more accurate indoorpositioning method is realized, the accuracy of indoor positioning is improved, and the requirement of a user on more accurate positioning is met.

The present invention is applicable to the field of landmark description, and provides a hierarchical spatial position description method and device based on Voronoi diagrams and landmarks. The hierarchical spatial position description method based on Voronoi diagrams and landmarks includes: for spatial landmarks, generating The Voronoi diagram of the landmarks; establishing a hierarchical spatial reference frame of the landmarks; selecting a plurality of the landmarks as reference objects according to the target object, and establishing a hierarchical spatial position description of the target object with the reference objects. The invention solves the problem that the spatial position of the target object is described only by a hierarchical reference system, which does not conform to the human's spatial cognition. A hierarchical spatial reference system is established through the Voronoi diagram, and automatically generated based on the reference system. The description of the spatial position of the target object is in line with the hierarchy of human spatial cognition and habits in different scenarios, thereby improving the efficiency of target object positioning.

The present invention proposes a multi-level graph clustering method for residential polygons. Residential polygons, as an important surface element, have complex shape features and attribute features. In order to realize the cluster analysis of residential polygons, Based on the attribute characteristics of polygon data, the present invention combines the characteristics of spatial cognition criteria and human cognition, firstly obtains the adjacency information between polygons, and combines the similarity measurement indexes of five polygons (namely: shape narrow length, size, concave-convex property) , distance and connectivity) to measure the similarity between polygons, then normalize the similarity value and determine the weight of each index, then use the multi-level graph partition algorithm to cluster the polygons, and finally use the silhouette coefficient to cluster The clustering results obtained by this method are analyzed and evaluated, which makes the clustering results obtained by this method more objective and reliable.