Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

95 results about "Cognitive status" patented technology

Definition of Cognitive status. Cognitive status means an individual's level of awareness with perception, reasoning, judgment, intuition, and memory.

Cerebrum cognitive status recognition method based on cerebral function imaging

InactiveCN102663414ATo achieve the purpose of identifying the cognitive state of the brainEasy to analyzeImage analysisCharacter and pattern recognitionFeature vectorData set
The invention discloses a cerebrum cognitive status recognition method based on cerebral function imaging, comprising the following steps of: inputting experimental data series of cerebral nuclear magnetic resonance images; preprocessing the experiment data of the cerebral nuclear magnetic resonance images; establishing a multidimensional data set which includes a cerebrum coordinate dimension, acerebrum area dimension, an experiment time sequence dimension and a cognitive status dimension; extracting features; classifying and identifying the statuses. The invention extracts feature vectors from cerebral images of cerebra knowing the task statuses to train a support vector classifier, and classify the cognitive status for the feature vectors of an unknown cerebral image using the classifier. If the unknown cerebral image belongs to some category, then the cognitive state the category belongs to is identified as the cognitive status of the unknown cerebral image, thereby achieving theaim of cerebrum cognitive status recognition. The multidimensional data set of cerebral images of the invention are used for secondary analysis, treatment and integration of the cerebral images, thereby enabling the data calculation and analysis of the cerebral images to be more convenient, faster and more visual.
Owner:SHANDONG UNIV

Brain cognitive state judgment method based on non-negative tensor projection operator decomposition algorithm

InactiveCN103425999APreserve spatial structure informationStrong orthogonalityCharacter and pattern recognitionCompositional dataCognitive status
Disclosed is a brain cognitive state judgment method based on a non-negative tensor projection operator decomposition algorithm. The method includes the steps of S1, collecting brain functional magnetic resonance images under different cognitive tasks to form a data sample set, carrying out preprocessing, and forming a sample set according to tensor modes, wherein the sample set is divided into a training set and a testing set according to the cognitive tasks, and the training set comprises functional magnetic resonance data in similar proportion of different cognitive states, S2, computing non-negative tensor projection operator decomposition of the training sample set to solve out a non-negative feature transformation matrix, projecting training samples to a non-negative tensor feature sub-space for dimensionality reduction to obtain a non-negative feature tensor set of the training set, S3, using lower-dimension non-negative feature tensor data after dimensionality reduction as input of an STM for training to solve out the optimum projection direction of the STM, and S4, projecting brain functional magnetic resonance data of tested samples to the non-negative tensor feature sub-space obtained through training to obtain non-negative feature tensors of the brain functional magnetic resonance data in the sub-space, and inputting the non-negative feature tensors of the tested samples to the trained STM to judge cognitive state types of the non-negative feature tensors.
Owner:XIDIAN UNIV

Personality assessment method and system based on neural response

ActiveCN109567830AAccurate assessmentAvoid questions that are influenced by the subject's subjective factorsDiagnostic signal processingSensorsTime rangePattern recognition
The embodiment of the invention provides a personality assessment method and system based on neural response. The personality assessment method comprises the steps that personality test materials in apreset material library are played to a tester, and the electroencephalogram signals of the tester are received; the response characteristic in the electroencephalogram signals is extracted to establish a response characteristic vector; and the response characteristic vector is input into a preset personality characteristic regression model, and the personality characteristic index of the testeris calculated through the personality characteristic regression model. The response characteristic is the average value of personality related electroencephalogram components of the tester within a preset time range after the tester watches the preset personality test materials. According to the personality assessment method, the personality characteristic related cognitive state of the tester isinduced through specific materials, and the electroencephalogram signals in the process are recorded, so that the personality characteristics of the tester are judged according to the electroencephalogram signals, and the personality characteristics can be assessed more accurately and truly based on objective electroencephalogram data.
Owner:TSINGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products