IEETA BRAIN COMPUTER INTERFACE Towards a Rapid Prototyping and Multi-Application System

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

Bento, VF (Author) Other; Silva, FM (Author) Other; Cunha, JPS (Author) Other

Conference proceedings International

Title: ARTIFICIAL NEURAL NETWORK APPROACH FOR OBESITY-HYPERTENSION CLASSIFICATION

Pages: 337-344

BIOSTEC 2009 - Second International Joint Conference on Biomedical Engineering Systems and Technologies

Vila Nova de Gaia, Portugal, 14 a 17 de Janeiro de 2009

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Other information

Authenticus ID: P-003-PA0

Abstract (EN): Recent advances in computer hardware and signal processing assert that controlling certain functions by thoughts may represent a landmark in the way we interact with many output devices. This paper exploits the possibility of achieving a communication channel between the brain and a mobile robot through the modulation of the electroencephalogram (EEG) signal during motor imagery tasks. A major concern was directed towards designing a generalized and multi-purpose framework that supports rapid prototyping of various experimental strategies and operating modes. Preliminary results of brain-state estimation using EEG signals recorded during a self-paced left/right hand movement task are also presented. The user successfully learned to operate the system and how to better perform the motor-related tasks based on outcomes produced by its mental focus.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8