11 results about "Psychological experiment" patented technology

The invention belongs to the field of electroencephalogram signal analysis, and particularly relates to an asynchronous EEG-fNIRS-oriented brain image signal causal analysis method and device, and the method comprises the steps: creating a psychological experiment normal form for guiding a patient to carry out a cognitive ability test; collecting and preprocessing asynchronous EEG and fNIRS signals generated by the patient in the process of executing the psychological experiment normal form; extracting spatial features from the fNIRS signals to process EEG signals, so that the two signals are spatially aligned; time sequence features are extracted from the EEG signals to process the fNIRS signals, so that the time sequence features and the fNIRS signals are aligned; and analyzing the causal relationship between the EEG and the fNIRS signal after space and time alignment. According to the method, the spatial-temporal information of various modal signals collected by asynchronous non-joint equipment is fully utilized, the flexibility and accuracy of the method can support deep analysis of brain region states, and an effective tool is provided for neurovascular coupling analysis and clinical application of EEG and fNIRS.

The invention provides a multifunctional seat system with an immersive experience function for psychological experiments and evaluation, and relates to the technical field of man-machine interaction. The system comprises a heterogeneous sensing module which collects physiological and mechanical data in real time and converts the physiological and mechanical data into a pressure gradient tensor, a dynamic actuating module adjusts the shape and inertial disturbance of a seat through a shape memory alloy and an electromagnetic damping base, and an environment evolution module maps a pressure extreme value into a virtual curvature singular point and reconstructs a scene physical rule. The cognitive coupling module constructs a psychological state transition model based on the physiological and behavior data and outputs a predicted value; the four-dimensional equilibrium state detection realizes a multi-dimensional constraint closed loop, and triggers a data flow path inversion protocol and dynamic parameter optimization; through real-time correction of a geodesic equation, a discretization Ricci flow algorithm and a gradient back projection technology, seat dynamic response and virtual scene evolution are synchronized, and psychological state prediction, inertial disturbance intensity adaptive adjustment and multi-dimensional coupling of an immersive experimental environment are realized.

The invention discloses a method for detecting a fatigue state based on a multi-modal data fusion technology, and the method comprises the following steps: S1, collecting multi-modal training data through a sleep deprivation experiment, and carrying out the training of a model. Comprising fNIRS, ECG, PPG, GSP and Resp, hemoglobin concentration data, obtained through a fNIRS headband, of the forehead lobe of the brain is obviously related to fatigue, data of electrocardio, pulse waves, skin electricity and respiratory waves are obtained through an electrocardio sensor (pectoral girdle), a PPG bracelet, a GSR ring and a respiratory wave (Resp) sensor (waistband), the data collected by different devices are objective, the defects of psychological experiment methods are effectively overcome, and the psychological experiment accuracy is improved. And different modalities can provide complementary information, and even capture the features of the target from multiple angles.

The invention discloses a psychological experiment task-oriented subject response data modeling method and system, and belongs to the technical field of psychological experiment task data modeling, and the method comprises the following steps: collecting subject response data; performing reaction flow serialization, converting original data into a continuous time sequence, and recognizing a cognitive state transition point through a multi-scale recursive segmentation method based on dynamic entropy perception; dynamic cognitive model construction: adopting an improved drift diffusion model combining dynamic parameter decomposition and hierarchical Bayesian inference to obtain a dynamic cognitive analysis model reflecting cognitive strategy switching, fatigue accumulation and learning effect; and reaction data modeling: establishing a causal relationship among a state label, a cognitive parameter and a reaction behavior, and realizing quantitative modeling and prediction of a psychological experiment task. According to the scheme, fine modeling and dynamic analysis of the multi-dimensional psychological reaction process can be realized, and the interpretability and the application value of psychological experiment data are improved.

The utility model relates to the technical field of psychology, and discloses a visual angle conversion device for psychological experiments, which comprises a bearing plate and a lifting assembly, the lifting assembly comprises a rotating handle, a driven bevel gear and a placing box, the rotating handle is connected with a connecting rod through a rotating disc, and one end of the connecting rod far away from the rotating disc is fixedly connected with a driving bevel gear. Through the arranged lifting assembly, when a rotating handle is rotated, the rotating handle drives a rotating disc to rotate, then the rotating disc drives a driving bevel gear fixed to one end of a connecting rod to rotate, the driving bevel gear is in meshed connection with a driven bevel gear, and a threaded rod on the surface of the driven bevel gear rotates in a supporting plate, so that the supporting plate moves up and down; the height of the device can be flexibly adjusted according to different experiment requirements and heights of participants, a more comfortable and appropriate observation angle is provided for experiments, the step that an operator runs back and forth to adjust operation is omitted, a large amount of experiment time is saved, and experiment efficiency is improved.

The task-based thermal imaging and near-infrared mania assessment method, system, and device of this application captures the user's facial features, pupil features, and behavioral characteristics during an irritability psychology experimental paradigm assessment; constructs a multimodal fusion neural network; and inputs the facial features, pupil features, and behavioral features into the multimodal fusion neural network to obtain the user's mania assessment results. This application integrates thermal imaging and eye tracking technology to achieve real-time and accurate detection of emotional states such as manic mood disorder. This multimodal fusion technology breaks through the limitations of traditional methods and provides a new solution for the screening and assessment of emotional disorders. It has broad application prospects, especially in emotional management and mental health monitoring involving high-risk populations.

The invention discloses a hypnotic device for psychological experiments, and relates to the technical field of hypnotic devices, the hypnotic device comprises a hypnotic device main body, a second rotating shaft is rotatably connected in the hypnotic device main body, a connecting rod is fixedly connected to one side, away from the hypnotic device main body, of the second rotating shaft, and the second rotating shaft is fixedly connected with the center of the connecting rod; the lower portion of the connecting rod is fixedly connected with a hypnosis ball, a reciprocating mechanism is arranged in the hypnosis device body, and the reciprocating mechanism is used for controlling the connecting rod to rotate in a reciprocating mode. According to the hypnosis device, the observation window is arranged on the hypnosis device body, so that the color plates with different colors are continuously far away from and close to the observation window while continuously rotating, the sensory experience of a hypnotic person is more comprehensively covered, the interactive experience between the hypnotic person and the hypnosis device body is improved, the hypnotic person is more immersed in the hypnosis process, and the optimal hypnosis effect is conveniently achieved.

The present invention belongs to the field of electroencephalogram (EEG) signal analysis, and specifically relates to a method and device for causal analysis of brain imaging signals for asynchronous EEG-fNIRS, including: creating a psychological experiment paradigm for guiding patients to perform cognitive ability tests; collecting and preprocessing asynchronous EEG and fNIRS signals generated by patients during the execution of the psychological experiment paradigm; extracting spatial features from the fNIRS signals to process the EEG signals to align them spatially; extracting temporal features from the EEG signals to process the fNIRS signals to align them temporally; and analyzing the causal relationship between the EEG and fNIRS signals after spatial and temporal alignment. The present invention realizes the full utilization of spatio-temporal information of multiple modality signals collected by asynchronous non-union devices, and its flexibility and accuracy can support in-depth analysis of brain region states, providing an effective tool for neurovascular coupling analysis and clinical application of EEG and fNIRS.

This application provides a data acquisition system for psychological experiments, relating to the field of data acquisition technology. The system includes: a wristband module for wearing on a target object to collect physiological and motion state data of the target object during a psychological experiment; a gateway module communicatively connected to the wristband module; and a central control module communicatively connected to the gateway module to receive and process data forwarded by the gateway module. The wristband module includes: a main control unit; a physiological parameter acquisition unit for collecting physiological data of the target object during the psychological experiment; a motion state acquisition unit for collecting motion state data of the target object during the psychological experiment; a first communication unit connected to the main control unit for sending the collected data to the gateway module; and a touchscreen for displaying a psychological experiment answering interface and an emotional state feedback interface to assist the target object in completing questionnaire selections and providing emotional state feedback.

The invention discloses a park green space optimization method based on plant community color quantification and emotion recovery influence, which comprises the following steps: collecting typical urban park plant community images through field investigation, and objectively quantifying plant colors by using image processing software; in combination with a psychological experiment normal form, after standardized pressure stimulation is applied to a subject in a laboratory environment, color combination plant community images with different proportions are presented; subjective psychological scale data and objective physiological electroencephalogram indexes are synchronously collected, the influence of different color composition proportions on the emotion recovery effect is obtained, and an optimal plant community configuration scheme is determined. The method fuses subjective and objective data, is high in quantifiability and operability, fills up the research blank of group scale plant community color quantization and an emotional response mechanism, can provide reference for plant community configuration design, is beneficial for realizing scientific planning of restorative landscapes such as park green land, and has a wide application prospect. And the design quality of the park green land plant landscape and the functionality of the park green land plant landscape are improved.

The invention belongs to the technical field of cognitive rehabilitation, and particularly relates to a quantitative EEG analysis method and system for cognitive competence testing and rehabilitation game regulation, and the method comprises the steps: creating a psychological experiment normal form for cognitive competence testing and a rehabilitation game normal form for neural feedback rehabilitation training; collecting electroencephalogram signals generated when the patient executes the psychological experiment normal form, and performing quantitative analysis on the electroencephalogram signals to obtain three cognitive function indexes reflecting the emotional state, the memory and the attention level of the patient; when the three cognitive function indexes obtained in the step 2 are abnormal, guiding the patient to perform rehabilitation training through a rehabilitation game normal form, recording an electroencephalogram signal reflecting the training state of the patient in the rehabilitation training process, and performing quantitative analysis on the electroencephalogram signal; and according to the quantitative analysis result in the step 3, dynamically adjusting the difficulty of stimulation presentation in the rehabilitation game normal form to adjust the rehabilitation training scheme of the patient, so that the patient better conforms to the current state of the patient. According to the invention, personalized rehabilitation game regulation and control for the patient are realized.