The Human—Unmanned Aerial Vehicle System Based on SSVEP—Brain Computer Interface

Electronics

Chih-Tsung Chang¹  Chia-Wei Lin²  Ming-An Chung² 

[1] Department of Electronic Engineering, Lunghwa University of Science and Technology, Taoyuan City 333326, Taiwan;Department of Electronic Engineering, National Taipei University of Technology, Taipei City 10608, Taiwan;

关键词: brain–computer interface (BCI);    electroencephalography (EEG);    steady-state visual evoked potential (SSVEP);    fast Fourier transform (FFT);    unmanned aerial vehicle (UAV);   

DOI  :  10.3390/electronics10233025

来源: DOAJ

【 摘 要 】

The brain–computer interface (BCI) is a mechanism for extracting information from the brain, with this information used for various applications. This study proposes a method to control an unmanned aerial vehicle (UAV) flying through a BCI system using the steady-state visual evoked potential (SSVEP) approach. The UAV’s screen emits three frequencies for visual stimulation: 15, 23, and 31 Hz for the UAV’s left-turn, forward-flight, and right-turn functions. Due to the requirement of immediate response to the UAV flight, this paper proposes a method to improve the accuracy rate and reduce the time required to correct instruction errors in the resolution of brainwave signals received by UAVs. This study tested ten subjects and verified that the proposed method has a 10% improvement inaccuracy. While the traditional method can take 8 s to correct an error, the proposed method requires only 1 s, making it more suitable for practical applications in UAVs. Furthermore, such a BCI application for UAV systems can achieve the same experience of using the remote control for physically challenged patients.

【 授权许可】

Unknown