Abstract
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.
Highlights
A brain–computer interface (BCI) [1,2,3,4] is a medium for communicating between the human brain and peripheral devices
Both methods analyze the unmanned aerial vehicle (UAV) to determine whether the information is still recovered as an actual signal under visual stimuli at the 20-s 23 Hz signal received by the UAV had five 23 Hz signals
Both methods analyze the UAVs to determine whether the information is still recovered as an actual signal under visual stimuli at 15 Hz, 23 Hz, and 31 Hz, respectively
Summary
A brain–computer interface (BCI) [1,2,3,4] is a medium for communicating between the human brain and peripheral devices. Through BCI, signals generated in the brain can be used to control and operate peripheral devices, i.e., to translate physical signals from the human body into machine commands that we specify to control the peripheral devices. BCI has been highly discussed in medical engineering, where this technology allows people to control devices independently of the neuromuscular functions of the human body and communicate with each other to transmit messages between humans and machines [4,5,6,7,8,9]. EEG [10,11,12,13] is a non-invasive BCI that uses electrical conductors and records brain activity without any medical or surgical involvement. BCI is a potential solution for those patients who still have normal brain function but are physically disabled or paralyzed, making them unable to communicate with the external environment through their severely damaged muscles and nervous system
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