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Method and system for sustained attention assessment

An attention and persistence technology, applied in applications, data processing applications, sensors, etc., can solve problems such as affecting driving efficiency, difficult to control accuracy, and potential safety hazards, achieving a good level of continuous attention and improving work efficiency. , the effect of reducing risk

Inactive Publication Date: 2017-10-10
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, if the continuous attention index of the high-speed train dispatcher cannot meet the predetermined needs, it will affect the punctuality rate of the train, the efficiency of the shunting operation, and even the safety of the train in the event of an emergency.
In the prior art, the training or assessment of its sustained attention usually draws on existing schemes, that is, to use sustained attention to identify the state of drivers and other personnel, mainly for the selection of indicators in a relatively static state of brain activity , Difficult, this kind of scheme considers a single factor, the granularity of training or assessment results is too coarse, it is difficult to control the accuracy, and it is difficult to avoid the influence of some individual or subjective factors, which can easily lead to continuous attention levels that do not meet the standard Workers stay at work for a long time without being discovered, which affects driving efficiency or poses safety hazards

Method used

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  • Method and system for sustained attention assessment
  • Method and system for sustained attention assessment
  • Method and system for sustained attention assessment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] see figure 1 As shown, the method of Embodiment 1 includes the steps of: obtaining the behavior index data, eye movement index data and EEG index data of the tested person when the tested person is in the simulated task state; combining the behavioral index data, eye movement index data and The EEG index 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 of a predetermined number of testees in the actual task state Data, obtain the ideal evaluation index table of multiple assessment levels, and obtain the relationship model of multi-input and single output through neural network learning under the supervision of the ideal evaluation index table.

[0028] On this basis, in the specific implementation process, at least one of the following optimization or implementa...

Embodiment 2

[0030] 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.

[0031]Specifically, after the test personnel are ready, the test interface starts, and a signal will appear in the center of the interface. The signal that appears each time is different from the signal that appeared last time. The signal disappears after a period of time, and then appears. The trains are in different running states. When a specific signal appears, the personnel under test need to respond if the running state of the next train matches it. When the tested personnel complete this task, record the tested personnel's behavior index data such as reaction time and correct rate, and collect the tested personnel's EEG and eye movement index data in real time. For the specific implementation of the EEG and eye movement index data, p...

Embodiment 3

[0055] see Figure 4 Shown, the system for the continuous attention assessment of embodiment three can include: test content display unit, human-computer interaction unit, behavior recording unit, eye movement signal collection unit, EEG signal collection unit and continuous attention comprehensive evaluation Units, etc., wherein: 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 , the eye movement signal collection unit, and the EEG signal collection unit are respectively used to obtain the behavior index data, eye movement index data and EEG index data of the person being tested; the continuous attention comprehensive evaluation unit is used to integrate the behavior index Data, eye movement index data...

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Abstract

The invention discloses a method and a system for continuous attention assessment. The method comprises the following steps: when a tested person is in a simulated task state, the behavior index data, the eye movement index data and the electroencephalogram index data of the tested person are acquired; the above acquired data are input into a preset comprehensive evaluation model, and the output of the comprehensive evaluation model is adopted as one of a plurality of assessment grades. The comprehensive evaluation model is obtained in advance through the following mode: an ideal evaluation index table of the plurality of assessment grades is obtained based on the test data of tested people of a preset number in the actual task state, and a multi-input and single-output relation model is obtained through the neural network learning process under the supervision of the ideal evaluation index table. According to the invention, the continuous attention is fully fused with specific scene task characteristics, and indexes of three dimensions are adopted. A more objective and more accurate continuous attention assessment scheme is established from the representation layer to the mechanism layer, and from exogenous factors to endogenous factors.

Description

technical field [0001] The invention relates to the technical field of attention training and control, in particular to a method and system for continuous attention assessment. Background technique [0002] Special occupations with very high attention requirements, such as pilots, racing drivers, airport tower air traffic controllers, high-speed rail traffic dispatchers and other special professionals need to have a high degree of continuous attention control ability to ensure the execution control of key tasks and The precision of time. Obviously, improving the continuity or focus of attention also helps to improve the work efficiency of non-specific professionals. For example, it is also of great benefit to the training of ordinary adults or human resource departments of enterprises and institutions. [0003] In the existing attention training schemes, its applicable objects are usually aimed at specific groups of people. For example, the patent documents with publication...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06A61B5/16A61B5/0476A61B5/11A61B5/00
CPCA61B5/1103A61B5/168A61B5/7235A61B5/369G06Q10/06393
Inventor 张骏郭孜政
Owner SOUTHWEST JIAOTONG UNIV
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