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• W2896714354 abstract "Abstract In this paper, the initial dips detected from the prefrontal cortex are used for the control of a quadcopter. Functional near-infrared spectroscopy (fNIRS) is used to detect the initial dips in the hemodynamic signals corresponding to mental arithmetic and mental counting for development of a brain-computer interface. Five healthy subjects participated in the experiment. A frequency domain fNIRS system is used to measure the chromophores of oxy- and deoxy-hemoglobin in the blood. Instead of using the conventional classification methods to generate commands, we have used vector phase analysis with a threshold circle from the resting state as a decision criterion to generate the commands. We are able to transmit commands to quadcopter in 0.1 s after the initial dip is detected. In this current work, we controlled the rotation and height of the drone while keeping the forward velocity at 0.5 m/s. In comparison to support vector machine, our method was able to achieve 18% better control of the quadcopter. The results show the significance of the vector phase analysis for BCI." @default.
• W2896714354 created "2018-10-26" @default.
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• W2896714354 date "2018-01-01" @default.
• W2896714354 modified "2023-09-28" @default.
• W2896714354 title "Initial-dip Based Quadcopter Control: Application to fNIRS-BCI" @default.
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• W2896714354 doi "https://doi.org/10.1016/j.ifacol.2018.09.072" @default.
• W2896714354 hasPublicationYear "2018" @default.
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