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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationProceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538632789
DOIs
StatePublished - 28 Nov 2017
Event2017 IEEE International Conference on Aerospace and Signals, INCAS 2017 - Lima, Peru
Duration: 8 Nov 201710 Nov 2017

Publication series

NameProceedings of the 2017 IEEE International Conference on Aerospace and Signals, INCAS 2017
Volume2017-November

Conference

Conference2017 IEEE International Conference on Aerospace and Signals, INCAS 2017
Country/TerritoryPeru
CityLima
Period8/11/1710/11/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Computer Brain
  • Drone
  • Emotiv Insight
  • Head Set

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