Design of computer brain interface for flight control of unmanned air vehicle using cerebral signals through headset electroencephalograph

Marco Antonio Mamani; Pablo Raul Yanyachi Aco Cardenas

doi:10.1109/INCAS.2017.8123499

Design of computer brain interface for flight control of unmanned air vehicle using cerebral signals through headset electroencephalograph

Marco Antonio Mamani, Pablo Raul Yanyachi Aco Cardenas

Departamento Académico de Ing. Electrónica

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

This article shows the design and implementation of a Flight Control Interface of a Drone using Electroencephalographic signals. For this purpose, an Emotiv Insight Electroencephalograph Headset and Drone Bepop Parrot are available, which have application development kits and are ideal for integration into Android Studio. With these tools, it is possible to obtain an efficient remote drone management system, validating its operation thanks to a group of users.

Original language	English
Title of host publication	Proceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538632789
DOIs	https://doi.org/10.1109/INCAS.2017.8123499
State	Published - 28 Nov 2017
Event	2017 IEEE International Conference on Aerospace and Signals, INCAS 2017 - Lima, Peru Duration: 8 Nov 2017 → 10 Nov 2017

Publication series

Name	Proceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017
Volume	2017-November

Conference

Conference	2017 IEEE International Conference on Aerospace and Signals, INCAS 2017
Country/Territory	Peru
City	Lima
Period	8/11/17 → 10/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Computer Brain
Drone
Emotiv Insight
Head Set

Access to Document

10.1109/INCAS.2017.8123499

Cite this

Mamani, M. A., & Yanyachi Aco Cardenas, P. R. (2017). Design of computer brain interface for flight control of unmanned air vehicle using cerebral signals through headset electroencephalograph. In Proceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017 (pp. 1-4). (Proceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017; Vol. 2017-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INCAS.2017.8123499

Mamani, Marco Antonio ; Yanyachi Aco Cardenas, Pablo Raul. / Design of computer brain interface for flight control of unmanned air vehicle using cerebral signals through headset electroencephalograph. Proceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-4 (Proceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017).

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Mamani, MA & Yanyachi Aco Cardenas, PR 2017, Design of computer brain interface for flight control of unmanned air vehicle using cerebral signals through headset electroencephalograph. in Proceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017. Proceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017, vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017, Lima, Peru, 8/11/17. https://doi.org/10.1109/INCAS.2017.8123499

Design of computer brain interface for flight control of unmanned air vehicle using cerebral signals through headset electroencephalograph. / Mamani, Marco Antonio; Yanyachi Aco Cardenas, Pablo Raul.

Proceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-4 (Proceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017; Vol. 2017-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Mamani MA, Yanyachi Aco Cardenas PR. Design of computer brain interface for flight control of unmanned air vehicle using cerebral signals through headset electroencephalograph. In Proceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-4. (Proceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017). doi: 10.1109/INCAS.2017.8123499

Design of computer brain interface for flight control of unmanned air vehicle using cerebral signals through headset electroencephalograph

Abstract

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Keywords

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