Student´s Oral Presentation III: Emotional State Classification Using Low-Cost Single-Channel Electroencephalography
Schedule
Thursday, August 20, 2020
12:30 UTC
Francisco López-Guzmán & Rodrigo Sanz, Montevideo, Uruguay
F. López: MSc student: Cognitive Neuroscience; Rodrigo Sanz: MSc student: Cognitive Neuroscience
Universidad de la República, Montevideo, Uruguay
Host: IIBCE on Brain Science
Recording
Open recording
Event Information
Recording
Available
Host
IIBCE on Brain Science
Duration
70 minutes
Abstract
Although electroencephalography (EEG) has been used in clinical and research studies for almost a century, recent technological advances have made the equipment and processing tools more accessible outside laboratory settings. These low-cost alternatives can achieve satisfactory results in experiments such as detecting event-related potentials and classifying cognitive states. In our research, we use low-cost single-channel EEG to classify brain activity during the presentation of images of opposite emotional valence from the OASIS database. Emotional classification has already been achieved using research-grade and commercial-grade equipment, but our approach pioneers the use of educational-grade equipment for said task. EEG data is collected with a Backyard Brains SpikerBox, a low-cost and open-source bioamplifier that can record a single-channel electric signal from a pair of electrodes placed on the scalp, and used to train machine learning classifiers.
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