A Brain-Computer Adaptive System for Brain-Computer Interface System

A machine interface and user technology, applied in the field of brain-computer adaptive systems, can solve problems such as difficult to meet the requirements of stability and lower recognition accuracy, and achieve the goals of avoiding the decline of usability, optimizing the design of man-machine systems, and reducing the risk of human error Effect

Inactive Publication Date: 2019-03-15
TIANJIN UNIV
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Problems solved by technology

However, the recognition accuracy rate of BCI system is reduced in the actual complex operation environment, and t

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  • A Brain-Computer Adaptive System for Brain-Computer Interface System
  • A Brain-Computer Adaptive System for Brain-Computer Interface System
  • A Brain-Computer Adaptive System for Brain-Computer Interface System

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Embodiment Construction

[0037] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below.

[0038] Existing traditional BCI research mainly improves the accuracy, information transmission rate and stability of BCI applications by improving paradigms, feature extraction algorithms, and machine learning algorithms, and reduces the load and fatigue of the BCI system itself through paradigm design and stimulus optimization. Consider improving the stability of BCI application from the perspective of human condition. But it has been proved that, like other means of human-computer interaction, the user's own factors are an important factor affecting the stability of the BCI system in practical applications.

[0039] The embodiment of the present invention dynamically adjusts the stimulation parameters and decoding algorithm of the BCI system according to the user's cognitive ...

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Abstract

The invention discloses a brain-computer adaptive system for brain-computer interface system, The system comprises: Cognitive Status Monitoring Module, a mutual adaptive adjustment module, a cognitivestate control module, and a BCI system control module, wherein the mutual adaptive adjustment module processes the user cognitive state transmitted by the cognitive state monitoring module in real time, and performs real-time closed-loop control on the BCI system control module and the cognitive state control module according to the user cognitive state; The mutual adaptive regulation module comprises three regulation modes of dynamic modeling, dynamic parameter regulation and dynamic audio-visual feedback. The three regulation modes together constitute two closed-loop control paths, including a 'machine' adaptive brain closed-loop regulation path and a 'machine' adaptive brain closed-loop regulation path. The invention dynamically adjusts the stimulation parameters and decoding algorithmof the BCI system according to the user cognitive state closed loop to adapt to the user state, optimizes feedback and regulates the user cognitive state to adapt to the cognitive demand of the BCI.

Description

technical field [0001] The invention relates to the intersection field of neuroergonomics and brain-computer interface technology, in particular to a brain-computer mutual adaptation system for the brain-computer interface system. Background technique [0002] Brain-computer interface (BCI) is a human-computer interaction method that does not rely on limbs. At present, the most advanced BCI technology is mainly implemented in an ideal laboratory environment through experimentally induced or manipulated certain user states. Users are often required to be highly focused, and try to avoid other thinking activities and fatigue through experimental design. Impact on BCI performance. [0003] However, in an uncontrolled natural daily life or work environment, there may be a large number of mental activities interacting, and these uncontrolled mental activities and factors such as fatigue will interfere when the BCI application is transferred from the laboratory to the real scene....

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Application Information

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IPC IPC(8): G06F3/01
CPCG06F3/015
Inventor 明东王韬柯余峰杜佳乐
Owner TIANJIN UNIV
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