Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for checking spatial working memory update capability

A technology of working memory and ability, which is applied in the field of assessing spatial working memory update ability, can solve the problems of not being comprehensive and objective, and achieve a good level, improve work efficiency, and achieve high accuracy

Inactive Publication Date: 2017-10-03
SOUTHWEST JIAOTONG UNIV
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current assessment methods mainly use behavioral performance indicators, which are not comprehensive and objective. Therefore, it is urgent to develop a program for training or assessing the spatial working memory update ability of high-speed rail dispatchers to overcome the above shortcomings

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for checking spatial working memory update capability
  • Method and system for checking spatial working memory update capability
  • Method and system for checking spatial working memory update capability

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0015] see figure 1 As shown, the method of Embodiment 1 includes the steps of: obtaining the behavior index data and EEG index data of the person under test when the person under test is in the simulated task state; using the behavior index data and EEG index data as the preset comprehensive evaluation model The output of the comprehensive evaluation model is one of multiple assessment levels; the comprehensive evaluation model is obtained in advance by the following method: based on the test data of a predetermined number of tested personnel in the actual task state, the ideal evaluation corresponding to the assessment level is obtained The index table, and under the supervision of the ideal evaluation index table, the relationship model of multi-input and single-output is obtained through neural network learning.

[0016] On this basis, in the specific implementation process, at least one of the following optimization or implementation methods can also be adopted: 1. Both t...

Embodiment 2

[0018] see figure 2 As shown, in order to illustrate the embodiment of the present invention more clearly, the high-speed rail traffic dispatcher is taken as an example below to describe in detail in combination with specific scenarios.

[0019] Specifically, after the subject is ready, the test interface starts, and a target stimulus appears at a random position on the interface, the random position is n (adjustable) squares, and the target stimulus disappears after a period of time. The subjects need to judge whether the position of the current stimulus is the same as that of the previous stimulus of the adjacent stimulus. When the subject completes this task, record the subject's response time and correct rate, and collect the subject's EEG related to the stimulus in real time. For the specific implementation of the EEG, refer to the related description of the prior art, which will not be elaborated here.

[0020] The response time and correct rate usually need to go thr...

Embodiment 3

[0032] see Figure 4 As shown, the system for assessing the update ability of spatial working memory in Embodiment 3 may include: a test content display unit, a human-computer interaction unit, a behavior recording unit, an EEG signal collection unit, and a comprehensive evaluation unit for updating spatial working memory, etc. Among them: the test content display unit is used to display the simulated task environment of the tested personnel, so that the tested personnel are under the scene conditions of the simulated task; the human-computer interaction unit is used for the human-computer interactive control of the tested personnel; the behavior recording unit, EEG The signal collection unit is used to obtain the behavioral index data and EEG index data of the person under test respectively; the comprehensive evaluation unit for spatial working memory update ability is used to map the behavioral index data and EEG index data to multiple assessment levels through the comprehens...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method and system for assessing the update ability of spatial working memory. The method includes the steps of: obtaining the behavior index data and EEG index data of the tested person when the tested person is in a simulated task state; The data is used as the input of the preset comprehensive evaluation model, and the output of the comprehensive evaluation model is one of multiple assessment levels; the comprehensive evaluation model is obtained in advance in the following way: based on the test data of a predetermined number of tested personnel in the actual task state, the obtained An ideal evaluation index table corresponding to the assessment level, and under the supervision of the ideal evaluation index table, a multi-input and single-output relationship model is obtained through neural network learning. The implementation of the present invention fully integrates the updating ability of spatial working memory with the characteristics of specific scene tasks, adopts two-dimensional indicators, goes deep from the appearance level to the mechanism level, and from exogenous factors to endogenous factors, establishes a more objective and accurate Spatial working memory update ability assessment scheme.

Description

technical field [0001] The invention relates to the technical field of spatial working memory training and control, in particular to a method and system for assessing the ability to update spatial working memory. Background technique [0002] The high-speed railway monitoring screen interface mainly displays information such as stations, lines, and trains, and these information are updated in real time as the trains run. In the process of work, high-speed rail dispatchers need to be familiar with the space between stations, lines and trains, and update them as the trains run. Especially in the event of an emergency, the dispatcher needs to quickly and accurately recall the location of the target in the constantly updated memory, so this ability to update the spatial working memory is even more important for the safety of high-speed rail. However, the current assessment methods mainly use behavioral performance indicators, which are not comprehensive and objective. Therefore...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q10/06
CPCG06Q10/06393
Inventor 郭孜政张骏
Owner SOUTHWEST JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products