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Quadcopter Control via Onset Eye Blink Signals: A BCI Study
- 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.
- Subjects :
- 0209 industrial biotechnology
Quadcopter
medicine.diagnostic_test
Computer science
Brain activity and meditation
business.industry
Headset
Interface (computing)
020208 electrical & electronic engineering
Window (computing)
02 engineering and technology
Electroencephalography
Task (computing)
020901 industrial engineering & automation
0202 electrical engineering, electronic engineering, information engineering
medicine
Computer vision
Artificial intelligence
business
Brain–computer interface
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 19th International Conference on Control, Automation and Systems (ICCAS)
- Accession number :
- edsair.doi...........8af3aa7645d196eb923cb20df852bd82