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Self-adapting automation method based on brain function state

A state and cognitive function technology, applied in the intersection of neuroengineering and human factors engineering, can solve problems such as inability to assign tasks, system flexibility and safety limitations, and achieve considerable economic and social benefits. Knowing the effect of functional status detection and reducing negative effects

Active Publication Date: 2015-04-29
TIANJIN UNIV
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Problems solved by technology

[0005] In traditional automation, after the system design is implemented, all task units are in a fixed sequence, and the collaborative relationship between humans and the automation system is also fixed, and tasks cannot be dynamically assigned according to the functional status of humans. The flexibility and security of the system promotion is limited

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  • Self-adapting automation method based on brain function state
  • Self-adapting automation method based on brain function state
  • Self-adapting automation method based on brain function state

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Embodiment Construction

[0037] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0038] Research on cognition has a long history, but in the early days, people's understanding and evaluation of cognitive function states such as human perception, attention ability, memory ability, spatial orientation, fatigue and emotion were mainly from the perspective of psychology. The research methods are mainly subjective self-assessment and subjective other-assessment. There are many influencing factors of these subjective evaluation methods, and it is not easy to realize real-time in a specific operating environment, so their application is limited. With the wide application of automation technology, the research on human's cognitive state is becoming more and more important, more research methods are emerging, and a large nu...

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Abstract

The invention discloses a self-adapting automation method based on brain function state. The self-adapting automation method comprises the steps of: determining the arrangement of an encephalogram electrode, a near infrared optical spectrum light source and a near infrared optical spectrum probe; establishing an artificial neural network model according to a linear characteristic parameter, a non-linear characteristic parameter, an oxyhemoglobin saturation index and a simulative task performance index, and optimizing the artificial neural network model through a genetic algorithm to obtain a cognitive function state detecting model; determining whether adjusting the task distribution mode of a person and an automatic system and early warning an operator according to a real-time cognitive function state index, a task demand index, a cognitive function state index warning threshold value and a state duration threshold value; and if so, adjusting the task distribution mode of the person and the automatic system, early warning the operator, and ending the process. Compared with the traditional automatic man-machine system, the self-adapting automation method disclosed by the invention distributes the tasks in a self-adapting manner to reduce the occurrence rate of human errors and effectively improve the working efficiency and safety of the man-machine system.

Description

technical field [0001] The invention belongs to the intersecting field of neural engineering and human factors engineering, and in particular relates to an adaptive automation method based on brain function state. Background technique [0002] With the improvement of hardware and software technology, the reliability of modern automation and semi-automation systems has reached unprecedented heights, but the role of humans is still irreplaceable. The operation of automation systems requires human supervision, and the role played by humans is becoming more and more important. More and more advanced decision-making. Ergonomics research shows that human reliability plays a decisive role in the overall reliability of the human-machine system composed of human, automatic and semi-automatic systems, and often a small human error may cause disastrous consequences. [0003] A large number of studies have shown that in the man-machine system with a high level of automation, it is diff...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00G06N3/02
Inventor 柯余峰明东李南南陈龙张迪许敏鹏綦宏志万柏坤
Owner TIANJIN UNIV
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