The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 29-259
Full Name: Carlos Aviles-Cruz
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: UAM-Azcapotzalco, Dpto. Electrónica, Av. San Pablo 180, Col. Reynosa, C.P. 02200, Mexico D.F.
Country: MEXICO
Tel: (+52)5553189550
Tel prefix:
Fax: (+52)5553189550
E-mail address: caviles@correo.azc.uam.mx
Other E-mails: montesalta@hotmail.com
Title of the Paper: Patter Recognition Applied to Mouse Pointer Controlled by Ocular Movements
Authors as they appear in the Paper: Job-Ramon De-La-O-CHavez, Carlos Aviles-Cruz
Email addresses of all the authors: yojobytu@hotmail.com, caviles@correo.azc.uam.mx
Number of paper pages: 10
Abstract: Researchers on Brain-Computer Interface (BCI) have tried to identify the origin of body movements in humans with limited success. This work looks at the problem using an ocular movement tracker based on ocular artifacts in ElectroEncephalo-Graph (EEG) readings, also called Electro-Oculo-Gram (EOG). The movements are reflected into the EEG signals, which are passed through a multiple classifier, composed of two statistical classic methods (KNN and Bayesian-Gauss) and a Neural Network. The voltage levels of EEG readings and their polarity provide the necessary information to track the focus of attention of the user in a computer screen. All of these artifacts have characteristic curves which can be classified. Focusing on the eye movements, we have developed an eye tracker to recover the point of attention of the user on a computer screen.
Keywords: BCI, EOG, Artifacts, KNN, Bayesian, Neural Network, Eye Movement Classification
EXTENSION of the file: .doc
Special (Invited) Session: Mouse Pointer Controlled by Ocular Movements
Organizer of the Session: 602-181
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