157 results about "Psychological status" patented technology

Mental state of a person is classified in an automated manner by analysing natural speech of the person. A glottal waveform is extracted from a natural speech signal. Pre-determined parameters defining at least one diagnostic class of a class model are retrieved, the parameters determined from selected training glottal waveform features. The selected glottal waveform features are extracted from the signal. Current mental state of the person is classified by comparing extracted glottal waveform features with the parameters and class model. Feature extraction from a glottal waveform or other natural speech signal may involve determining spectral amplitudes of the signal, setting spectral amplitudes below a pre-defined threshold to zero and, for each of a plurality of sub bands, determining an area under the thresholded spectral amplitudes, and deriving signal feature parameters from the determined areas in accordance with a diagnostic class model.

The invention discloses a classroom teaching effect evaluation system based on facial expression recognition. According to the invention, videos in a classroom are analyzed in real time; the facial expressions of students in class are extracted, and the understanding degree, the activity degree, the doubtful degree and the activity time index information of the students in class are counted and analyzed, so that teachers can know the psychological states of the students and the mastery degree of the students on the knowledge points, the teachers can adopt corresponding teaching regulation andcontrol means, and the teaching quality of the class is improved; The classroom expression state of the teacher is automatically analyzed, the classroom expression index of the teacher is counted, andthe classroom emotion basis is provided for teaching management personnel to examine the teacher. The classroom expressions of teachers and students are recorded, the classroom expression indexes ofthe teachers and the students are obtained through statistical analysis, and the indexes serve as reference indexes for classroom teaching evaluation and have comprehensiveness and objectivity. the classroom teaching effect of the target course in each school for course reform is counted as a reference. Through the technical scheme of the invention, teachers and teaching management personnel can better accomplish the teaching concept taking students as the main part.

Brain activity of a user is detected, and a mental state of the user is determined. In one technique, life / work context is automatically presented to the user in a manner that modulates the mental state of the user. In another technique, an entertainment selection is presented to the user, and an entertainment selection list is automatically modified in response to the determined mental state of the user. In still another technique, the mental state that is determined is a negative emotional state, and life / work context is automatically presented to the user in a manner that promotes a cognitive state of the user in response to the determined emotional state of the user. In yet another technique, the wellness of the user is automatically tracked over a time period based on the determined mental state.

One embodiment of the present invention provides a system that for facilitating assessment of collision between a primary principal and a non-primary principal for early warning. During operation, the system periodically performs the following operations: The system obtains a current observation of the primary principal and non-primary principal. The system then assesses one or more future states for the primary and non-primary principals, respectively, based on: the current observation of the primary and non-primary principals, a dynamics model of the primary principal, and a mental-state model of a person associated with the primary principal. The system further produces one or more results which indicate an assessment of collision between the primary and non-primary principals.

The invention relates to a psychological test method based on face images and eye movement fixation information. The method uses color face images for expression recognition, head status recognition and hand status recognition. Meantime, the method uses an eye movement instrument to record eye movement fixation positions of a testee, and subjects the whole process to synchronous matching to obtain synchronous tracking records of behavior status and eye movement fixation status of the testee during the psychological test process. Then based on obtained status data, the method carries out modeling analysis to achieve psychological characteristic recognition of the testee. The method realizes online recognition and synchronous processing of expression, hand, head and eye movement status of the testee during the psychological test process, ultimately achieves real-time analysis and recording of psychological status, and has very high test precision and low misclassification rate.

The invention discloses a prisoner psychological health state assessment method and a system based on multi-modal information. The method comprises the following steps: obtaining physiological signals, facial expression images and voice signals of reformed prisoners and prisoners to be tested after they experience virtual reality scenes, and extracting physiological signal features, facial expression image features and voice signal features from the obtained signals; inputting the physiological signal features, facial expression image features and voice signal features of the reformed prisonerinto a pre-trained neural network model, and outputting a psychological state assessment vector of the reformed prisoners; inputting the physiological signal features, the facial expression featuresand the voice signal features of the prisoners to be tested into a pre-trained neural network model, and outputting a psychological state assessment vector of the prisoners to be tested; calculating the psychological state assessment vector distance between the prisoners to be tested and the reformed prisoners; and assessing the mental health state of the prisoners according to the distance.

The invention relates to the field of psychological assessment, in particular to a psychological assessment method based on a mobile Internet technology; the method comprises the steps: logging in a psychological assessment module, billing and choosing a psychological scaling for psychological assessment; analyzing and computing the results; and estimating the psychological status of a tester according to the testing report; the report of the tester compares with a normal scaling model; the normal scaling model means the data of an assessment model of average persons and is a psychological status data model obtained by testing special groups from a certain number of average persons; the assessment method is convenient and rapid; the psychological scaling assessment and psychological consulting can be carried out at any time and at any place by scanning the two-dimension code with any mobile terminals; a psychological Cloud data centre is capable of realizing dynamic Cloud management for psychological archives.

Brain activity of a user is detected, and a mental state of the user is determined. In one technique, life / work context is automatically presented to the user in a manner that modulates the mental state of the user. In another technique, an entertainment selection is presented to the user, and an entertainment selection list is automatically modified in response to the determined mental state of the user. In still another technique, the mental state that is determined is a negative emotional state, and life / work context is automatically presented to the user in a manner that promotes a cognitive state of the user in response to the determined emotional state of the user. In yet another technique, the wellness of the user is automatically tracked over a time period based on the determined mental state.

The invention relates to a device used for biofeedback training, especially relating to the interactive-reaction multimedia device, which controlled by the physiological signal of trainee and / or the condition of consciousness. The invention comprises a physiological and / or consciousness monitoring module, a signal processing identification module, a control module and a execution module, which detects the physiological signal and / or the condition of consciousness of the trainee, monitors the changes, and calculates the control instruction according to said changes for controlling, regulating and changing the images, voice, motions and other actions of the execution modules in different patterns, so the effect of biofeedback training can be strengthened while it can help the trainee to better adjust the physiologic status and the psychological condition. The invention can be widely used in variable health care and clinical medicine fields.

The invention relates to an eye characteristic-based trial auxiliary study and judging analysis system, which comprises an infrared light source, an image collection unit, an eye detection and tracking unit, a pupil data acquiring unit and a sight tracking and correcting unit. An infrared camera is used for capturing a pupil image data to analyze the eye structure, automatically recognize the central position of the pupil and the central position of a cornea and display relevant data in real time so as to immediately determine the sight direction, and a psychological status of a criminal party can be immediately calculated according to the status variation and the visual content of the pupil. Due to the adoption of the eye characteristic-based trial auxiliary study and judging analysis system, interference on a user is less, and no wearing tracking device is required; and the involved sight tracking technology is one of key technologies of intelligent human-machine interfaces in the future, and the system has wide application prospect on the aspects such as industrial control, robotics and clinical medicine.

The invention discloses a miner physiological and psychological fatigue monitoring method based on electroencephalogram detection. A brain wave detection terminal converts time-domain signals of collected miner brain wave data into frequency-domain signals, then analyzes the converted frequency-domain signals to obtain the brain wave energy duties of different rhythms in the brain wave data, and finally determines the miner physiological and psychological fatigue conditions according to the brain wave energy duties. Physiological and psychological state monitoring can be carried out during the downhole working period of miners, the physiological and psychological states of the miners are mastered in real time, the abnormal physiological and psychological conditions of the miners can be found in advance, effective measures can be taken in time conveniently, and probability of accidents is reduced.

Mental state of a person is classified in an automated manner by analysing natural speech of the person. A glottal waveform is extracted from a natural speech signal. Pre-determined parameters defining at least one diagnostic class of a class model are retrieved, the parameters determined from selected training glottal waveform features. The selected glottal waveform features are extracted from the signal. Current mental state of the person is classified by comparing extracted glottal waveform features with the parameters and class model. Feature extraction from a glottal waveform or other natural speech signal may involve determining spectral amplitudes of the signal, setting spectral amplitudes below a pre-defined threshold to zero and, for each of a plurality of sub bands, determining an area under the thresholded spectral amplitudes, and deriving signal feature parameters from the determined areas in accordance with a diagnostic class model.

The invention provides a method for detecting behaviors and mentalities of students based on homomorphic encryption federated learning. The method comprises the following steps: acquiring mutually independent data sets A and B; selecting intersection data through the consistency of data corresponding to the same feature items between the data sets A and B by adopting an encryption-based user sample alignment technology, and distinguishing a to-be-tested data set with the difference between the data sets B and A; encrypting the selected intersection data of the data set A and the data set B through the homomorphic encryption technology; constructing a convolutional recurrent neural network, and training intersection data of the homomorphic encrypted data sets A and B through federated learning to obtain a model for predicting the psychological state of the student; and predicting the psychological state in the model for predicting the psychological state of the student by taking each piece of data in the to-be-tested data set as the to-be-tested data. By implementing the method, the requirements of student behavior and psychological detection are met on the premise of protecting data privacy, and the problems in the prior art are solved by adopting a convergent homomorphic encryption federated learning algorithm.

The invention relates to a psychological testing system and method. The psychological testing system comprises a human eye image acquisition device and a host subsystem; the human eye image acquisition device is used for carrying out acquiring and compressed encoding on human eye images and transmitting the human eye images to the host subsystem; and the host subsystem is used for processing each received human eye image to obtain a training sample, recording the psychological status represented by each training sample, matching a testing sample with each training sample and taking the psychological status represented by the optimal matched training sample matched with the testing sample as a psychological status represented by the testing sample. The psychological testing method is used for finishing psychological status judgment of a testee by using the psychological testing system and applying pupil area analyzing and positioning, information modeling, KPCA (Kernel Principal Component Analysis) and mode recognition and classification methods. The psychological testing system is simple and rapid to operate; and meanwhile, interference from visible light can be avoided. The psychological testing method is used for realizing accurate positioning of pupils and fine analysis of pupil areas and has high judgment accuracy on the psychological state of the testee.

The psychological impact of entertainment material, visual objects, brands and advertising, commercial communication, the response to an individual presenting a message, or to an individual seeking public office can be assessed using methods employing measurements of SSVEP or SSVER phase increase and gaze tracking of subjects in a variety of ways. Various psychological states may be analyzed in order to accurately predict success and to enable early modification in development stages of products or communication.

The invention relates to the technical field of artificial intelligence, and provides a student psychological state analysis method and device based on audio and video, a terminal and a medium, and the method comprises the steps: carrying out the transfer learning and training of a student emotion expression recognition model based on an open source emotion expression data set and a private emotion expression data set; carrying out distortion correction and grid mapping on the student panoramic video to obtain a student target video of each student; recognizing the student target video througha student emotional expression recognition model to obtain an activation degree and a pleasure degree; calculating a student target video to obtain activeness; calculating negative emotion accordingto the audios of the students; and analyzing the psychological state of the student according to the activation degree, the pleasure degree, the activity degree and the negative emotion. The method can be applied to wisdom education, the psychological states of students can be comprehensively analyzed in multiple modes, and the accuracy is high. In addition, the invention also relates to the technical field of the block chain, and the psychological state can be stored in the block chain.

Techniques for effectively and accurately measuring psychological influencing factors, such as the white coat effect and mental stress, that may affect or otherwise influence biometric measurements, such as blood pressure measurements, are described. Embodiments of a measurement validation system herein may utilize a method for determining an artery location on a living subject's skin and positioning a tonometry pressure sensor on the artery location for tonometric blood pressure measurement to obtain pressure pulse data for a subject. In operation according to embodiments, measurement logic of a measurement validation system may utilize the pressure pulse data to extract blood pressure data, heart rate data, blood pressure variability data, and heart rate variability data. The foregoing data may be utilized in identifying whether the blood pressure measurement properly and accurately reflects the situation of the subject.

The invention provides a psychological load measuring system based on simulated driving, comprising a simulation scene display module, a simulated driving module and a psychological status recording module, wherein the simulation scene display module is used for generating a simulated driving scene; the simulated driving module is used for performing simulated driving act; the psychological status recording module is used for detecting the psychological status in the simulated driving process; the simulated driving module comprises a data acquisition device for recording the driving behavior of a user; the simulation scene display module displays the simulated driving scene according to a preset driving task; a user drives on the simulated driving module according to the simulated driving scene; the data acquisition device collects and records the simulated driving behavior of the user and feeds the data relevant to the simulated driving behavior back to the simulation scene display module so as to update the driving scene displayed by the simulation scene displaying module in time; the data relevant to the simulation driving behavior is sent to the psychological status recording module; and psychological status recording module detects the psychological load of the user under different road conditions and task difficulties.

The invention discloses an interactive emotional counseling and psychological counseling robot. The information is processed through a processing module, the user's complaint content is identified, and psychological and emotional states of a user are determined; a psychological state evaluation module evaluates a psychological state type of the user preliminarily and again according to the psychological and emotional states of the user; a psychological evaluation intervention module performs corresponding psychological intervention of the user according to the evaluation result of the psychological state evaluation module; a listening module acquires the listening content of the user, selects corresponding words for encouraging and comforting and feeds back the words to the user; a psychological decompression module decompresses the psychological pressure of the user according to different degrees of psychological pressure; and a psychological crisis intervention module determines whether the user faces a special crisis situation or not according to the evaluation result of the psychological state evaluation module, and performs psychological adjustment of the user facing the special crisis situation.

The invention relates to a psychological assessment device, method and system based on electronic psychological sand tables. The method comprises the steps of acquiring original data of various electronic psychological sand table works; aiming at the characteristics of each piece of original data, carrying out processing by adopting an artificial intelligence method to obtain different psychological segmented words; with each piece of original data as input and corresponding psychological segmented words as output, carrying out model training to obtain a psychological segmented word predictionmodel; acquiring a plurality of different types of psychological segmented words and psychological states corresponding to the psychological segmented words; with each psychological segmented word asan input and the corresponding psychological state as an output, carrying out training by adopting a logistic regression method to obtain a psychological state prediction model; acquiring a to-be-predicted electronic psychological sand table work; and predicting the to-be-predicted electronic psychological sand table work by adopting the psychological word segmentation prediction model and the psychological state prediction model so as to obtain the psychological state of a test subject. Problems in popularization and application of electronic psychological sand tables due to shortage of sandtable psychological analysts in the prior art can be solved in the invention.

The invention belongs to the technical field of psychological assessment, and discloses a novel intelligent psychological assessment intervention system and method combined with a virtual reality technology. The system comprises a psychological data acquisition module, a main control module, a psychological data processing module, a VR scene selection module, a psychological test module, an assessment model construction module, a psychological state assessment module, an assessment report generation module, a psychological treatment module, a cloud storage module and an update display module.The abnormal psychological state determined based on the physiological signal and the abnormal risk factor determined based on the scale are associated through the psychological data processing module, an objective data basis is provided for psychological adjustment of the user, and the user is assisted in improving the psychological state; meanwhile, the influence of individual subjective factorson data collection is eliminated through the psychological state assessment module, and psychological health state assessment can be conducted more accurately.

The invention relates to a quick detection method for in-situ fluorescent staining of livestock meat spoilage bacteria. Spoilage bacterium living bodies are subjected to in-situ fluorescent staining by fluorescent dye, shot images are processed by tomography through a confocal scanning laser microscope, and average fluorescent strength is calculated to represent relative cell quantity of unit area of a section of pork tissue. The quick detection method is easy to operate, high in detection speed and free of harmfulness and capable of detecting livestock spoilage bacteria within a short time on the premise of not damaging psychological status, and thus distribution and impregnation situations of spoilage bacteria in pork tissue and dynamic change of the spoilage bacteria can be observed and tracked in rail time. In addition, the quick detection method has direct practical significance in further researching spoilage mechanism of livestock meat deeply so as to control the spoilage bacteria pointedly, prolong shelf life of meat, guarantee quantity safety of meat and care health of customers.

The invention provides an intelligent psychological pressure assessment and early warning system for multiple groups under an epidemic disease condition, and belongs to the field of artificial intelligence pattern recognition. The system comprises a data acquisition module, a psychological assessment module and an alarm module, wherein the data acquisition module is configured to acquire at leastone physiological signal of a tested individual and perform preprocessing; the psychological assessment module is configured to input the preprocessed physiological signal into a preset neural networkmodel to obtain the probability that the tested individual is in different psychological states, and then determine the current psychological state level of the tested individual; and the alarm module is configured to send out alarm information when the psychological state level of the tested individual exceeds a safety level. According to the system, only the related physiological signals of thetested individual need to be collected, and a psychological level classification result can be efficiently and accurately obtained without any inquiry, so that the individual with the psychological abnormality can be intervened and treated in advance, and the physiological and psychological health of the tested personnel is guaranteed.

The invention comprises systems and methods for the assessment of mental state by means of analysis of key words or phrases written or spoken by a subject. These elements are detected for instance through use of a smartphone app and / or bespoke software keyboard, and their occurrence is logged and analyzed, either locally or remotely. Text and speech may both be analyzed for purposes of the invention, which analyzes key words / phrases for example in terms of their emotional or psychological content, for example counting expressions of positive or negative feelings, attitudes, or other categories. By analysis of frequency of such usages, an estimate or reflection of mental state of the typist is built. Diagnosis of various conditions may thus be carried out, especially by watching how the frequencies and / or percentages of such key elements change over time.

The invention discloses a student psychology analysis method and device, and a storage medium. The method comprises the steps of obtaining behavior data of a student from a communication device in a campus; analyzing the behavior data to obtain behavior characteristics of the student; and analyzing a psychological status of the student by utilizing the behavior characteristics. The behavior data used for analyzing the psychology of the student is data generated in daily life of the student and obtained from the communication device of the campus; the process of obtaining the behavior data does not need active cooperation of the student, so that the influence of subjective attitude of the student on data objectivity can be avoided and the data objectivity is improved; and based on this, the obtained objective behavior data is analyzed, so that the reliability of a student psychology analysis result can be effectively improved, students with hidden psychological problems can be discovered in time and corresponding psychological intervention measures are adopted.

The invention discloses a civilian aviator student mental health test and mental aid system. The civilian aviator student mental health test and mental aid system comprises the following steps of establishing an aviator student mental health evaluation index system; according to the aviator student mental health evaluation index system, generating an aviator student mental health evaluation scalewhich is presented in a score manner and covers evaluation indexes; collecting mental health evaluation data of each aviator student, and calculating the mental health level of the corresponding aviator student; and performing mental aid on the aviator students of which the score is lower than a set mental health level threshold to assist the aviator students to be adjusted and recovered to a health mental condition. According to the civilian aviator student mental health test disclosed by the invention, a scientific objective and targeted aviator student mental health evaluation index systemis designed through combining mental health theory with occupation characteristics of the aviator students, so that a base for aviator student mental health evaluation is established, and the civil aviation aviator student mental health test has important significance in mental health education work of the aviator students.

A method and apparatus are described for providing a way for a user to alleviate fear, anger, or other negative thoughts or feelings that the user has toward a specific other person, who is personally known to the user and with whom the user has previously has adverse personal interactions, or to focus such anger or negative thoughts or feelings on the second person who is an object of the user's negative feelings. This is accomplished by having the user select and display an image of the other person, so that the image is visible to the user, and also select and display an image of an object that is potentially harmful to the other person. Then the user causes the images to touch, become superimposed on, or located near one another. For example, an image of a knife is moved so that it appears that the knife stabs the image of the other person. It is then determined whether the fear, anger, or other negative thoughts or feelings of the user have been reduced. If not, the process is repeated. As a result, the foregoing procedure transforms a state of mind of the user in a manner such that an at least partial catharsis or discharge of cathexis occurs, but without the user believing consciously that the user's simulated actions actually harm the other person in the manner acted out. A preferred embodiment utilizes computer means to carry out this procedure, such as a PC or handheld portable programmed device.

The embodiment of the invention discloses a multi-dimensional psychological state evaluation, regulation and control method and device, a medium and equipment. The method comprises the following steps: in response to an evaluation starting signal, obtaining psychological state data of at least one dimension of a target user; evaluating the psychological state data of each dimension according to a preset health evaluation standard, and determining a target regulation dimension according to an evaluation result; and determining a target psychological regulation scheme according to the target regulation dimension and the evaluation result, and performing psychological regulation on the target user by using the target psychological regulation scheme. By executing the scheme, the efficiency of psychological assessment regulation and control is improved, the labor cost and the time cost are reduced, home, online and self-service psychological state assessment and regulation and control are supported, the flexibility is high, and popularization is easy.

The invention belongs to the technical field of memory improvement and discloses a psychologic memory data improvement detection method and system based on a VR technology. The system includes a datainput module, a content classification module, a learning module, a main control module, a database module, a psychological estimation module, a memory enhancement module and a VR module. Meanwhile, an implementation scheme of the psychologic memory data improvement detection method based on the VR technology is disclosed. By means of the psychological estimation module, a great number of user data can be collected and used for achieving cloud calculation, and a machine learning method is applied to mine out personal psychological features of users to further provide targeted psychological guidance. Meanwhile, by using the memory enhancement module for analyzing a psychological effect generated by image information on the users and selectively displaying the image information with a positive effect, the psychological state data information of the users is adjusted, the users' life is much healthier, and the memory capacity is improved.