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
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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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