Idea control method of unmanned aerial vehicle

Abstract

The invention discloses an idea control method of an unmanned aerial vehicle. The idea control method comprises the steps of establishing communication and signal transmission; simulating receiving ofelectroencephalogram signals; receiving test data by a Bluetooth module on a handle ; and modifying codes of the handle and the unmanned aerial vehicle. According to the invention, multi-electrode electroencephalogram signal acquisition equipment acquires electroencephalogram signals of a person, converts the electroencephalogram signals into digital signals and transmits electroencephalogram signal data to the Bluetooth module on the handle through the Bluetooth module, the unmanned aerial vehicle is controlled through the processed electroencephalogram signal data, and the unmanned aerial vehicle flies according to instructions. Because the transmission of the electroencephalogram signals needs to be conducted by two Bluetooth modules, and the distance between the unmanned aerial vehicle and the person is far, the handle is selected to receive the Bluetooth data, indirect data transmission is carried out by utilizing wireless communication modules on the handle and the unmanned aerial vehicle, and thus the signal transmission distance is expanded. The control instructions received by the unmanned aerial vehicle are all the control signals sent by the original handle, so that idea control over flight of the unmanned aerial vehicle is achieved more stably and accurately.

Description

technical field [0001] The invention relates to mind control technology, in particular to a mind control method for an unmanned aerial vehicle. Background technique [0002] As early as a few years ago, domestic and foreign drone manufacturers have noticed consumers' demand for more intelligent drones. For example, DJI has previously launched a "selfie" drone that can be controlled by gestures. Now, after going through handle control, mobile phone screen control and other methods, somatosensory interaction and mind interaction are leading the new trend of drone control. [0003] At present, most of the research on drones at home and abroad is to collect human brain signals, and computers are used for software development. Instructions for man-machine corresponding actions. However, UAVs can only achieve flight and cannot complete any complex actions. The function is relatively single and the cost is relatively high. Using a single-electrode EEG signal acquisition device ma...

AI Technical Summary

Problems solved by technology

However, UAVs can only achieve flight and cannot complete any complex actions. The function is relatively single and the cost is relatively high. Using a single-electrode EEG signal acquisition device may cause the UAV to crash or not execute instructions due to unstable transmission of human-machine EEG signals. , the accuracy and stability of the mind operation is not high, resulting in inaccurate instructions and wrong actions of the drone

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