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Quadcopter Control via Onset Eye Blink Signals: A BCI Study

Authors :
Dalin Yang
Keum-Shik Hong
Source :
2019 19th International Conference on Control, Automation and Systems (ICCAS).
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

Owing to the advancements in the field of brain technology, numerous researches have been done to explore the prospects of application of brain signals in numerous ways. This work presents a novel approach to control a quadcopter using brain activity for eye blinking signals. EEG signals generated as a result of eye blinking are transformed into useful input to the quadcopter to perform respective commands. The work covers the execution of 8 commands using a 4-sec time window via 2 EEG electrodes. Each task to be executed in a 1-sec window. For more fast and easier control, an additional interface is provided to make the commands handier and more useful for the subject to choose between the commands. Classification accuracy shows promising results which can ensure better control for other devices like a quadcopter. Thus, this work provides a user-friendly approach for control of a quadcopter via eye blinking signals using a low cost and non-invasive technique using a wearable EEG headset.

Details

Database :
OpenAIRE
Journal :
2019 19th International Conference on Control, Automation and Systems (ICCAS)
Accession number :
edsair.doi...........8af3aa7645d196eb923cb20df852bd82