Brain Computer Interface system based on indoor semi-autonomous navigation and motor imagery for Unmanned Aerial Vehicle control

Author:

Shi Tianwei,Wang Hong,Zhang Chi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

1. Vision-based egomotion estimation on FPGA for unmanned aerial vehicle navigation;Angelopoulou;IEEE Transactions on Circuits and Systems for Video Technology,2014

2. Activation of a mobile robot through a brain computer interface;Barbosa,2010

3. Monocular vision SLAM for indoor aerial vehicles;Celik,2009

4. Assessment of the influence of navigation control and screen size on the sense of presence in virtual reality using EEG;Clemente;Expert Systems with Applications,2014

5. A general framework to estimate spatial and spatio-spectral filters for EEG signal classification;Fattahi;Neurocomputing,2013

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