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Brain Machine Interface — IEETA case study

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3 Author(s)
Georgieva, P. ; Dept. of Electron. Telecommun. & Inf. (DETI), Univ. of Aveiro, Aveiro, Portugal ; Silva, F. ; Figueiredo, N.

The goal of the present paper is to report the recent advances in Electroencephalogram (EEG)-based Brain Machine Interface (BMI) developed at the Institute of Electrical Engineering and Telematics of Aveiro (IEETA). First, a short overview of the most successful BMI technologies is presented and then our ongoing research and protocol for motor imagery noninvasive BMI for a mobile robot control is discussed. The main EEG signal processing challenges as filtering, feature extraction and classification are also considered.

Published in:

Intelligent Systems (IS), 2012 6th IEEE International Conference

Date of Conference:

6-8 Sept. 2012