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Unmanned aerial vehicle flight path planning system based on electroencephalogram

A trajectory planning and EEG signal technology, which is applied in the field of UAV trajectory planning system based on EEG signals, can solve the problems of non-stationary EEG signals, limited number of subjects, and bottlenecks in the field of EEG signal cognition and other issues to achieve the effect of improving self-adaptive ability

Active Publication Date: 2020-01-07
BEIHANG UNIV
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Problems solved by technology

[0010] However, due to the single navigation route or the limited number of subjects, the above methods are not comprehensive enough to analyze the rhythm characteristics and mental load of EEG signals.
At the same time, the EEG signal is not stable, which cannot be solved by traditional analysis methods. Factors such as the conduction between the electrode signal and the surrounding electrodes also make the EEG signal a bottleneck in the cognitive field.

Method used

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  • Unmanned aerial vehicle flight path planning system based on electroencephalogram
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  • Unmanned aerial vehicle flight path planning system based on electroencephalogram

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Embodiment 1

[0064] First of all, it is necessary to control the environmental conditions in the process of collecting EEG signals. There are many factors that affect brain nerve signals, such as age, genetics, degree of brain damage, and various technical interference or environmental noise interference. In order to control the conditions of the test environment, the data acquisition control conditions of the present invention include the following aspects: ensure that the external environment of each tested person is roughly the same, and simultaneously try to ensure a noiseless test environment; keep the psychological state of each tested person Roughly the same, it is necessary to stop the experimenter from touching the irritating items before the experiment to prevent negative effects that are not conducive to the experimental measurement; control and isolate the research conditions to avoid stimuli that are not within the experimental range For isolation and removal, if the experimen...

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Abstract

The present invention discloses an unmanned aerial vehicle flight path planning system based on an electroencephalogram. The system comprises an interface module, a signal generation module, a data processing module, a brain machine interface module and an unmanned aerial vehicle flight path planning module. According to the technical solutions of the present invention, a navigation capability-based electroencephalogram can be measured, and an electrical signal that is generated for affecting a cognitive behavior of human in a navigation process is analyzed, so as to perfect an autonomous navigation capability of the unmanned aerial vehicle.

Description

technical field [0001] The present invention relates to the comprehensive application of cognitive neuroscience, information technology field and automatic control field, especially relates to an unmanned aerial vehicle track planning system based on electroencephalogram signal. Background technique [0002] EEG contains signals of neural activity in the cerebral cortex, and insight into the cognitive and thought processes that reveal how the brain works is important. Cranial nerve signals comprehensively reflect the local activities of the cranial nervous system, and are an important tool for analyzing the cranial nervous system and brain operations. EEG signals have built a bridge for biomedicine, computer science, and cognitive science. Therefore, EEG signals have always been a popular research object for interdisciplinary subjects. [0003] Position perception and navigation ability are the most basic functions of the brain. People can show navigation ability higher tha...

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Application Information

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IPC IPC(8): G05D1/12A61B5/00A61B5/0476
CPCA61B5/7203A61B5/7225A61B5/7257A61B5/369G05D1/12
Inventor 富立李源王玲玲
Owner BEIHANG UNIV
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