Bulletin of RSMU

ORIGINAL RESEARCH

Electroencephalogram-based emotion recognition using a convolutional neural network

Savinov VB, Botman SA, Sapunov VV, Petrov VA, Samusev IG, Shusharina NN

Immanuel Kant Baltic Federal University, Kaliningrad, Russia

Author contribution: Savinov VB, Botman SA, Sapunov VV, Petrov VA — data acquisition and processing, manuscript preparation; Samusev IG — manuscript preparation and revision; Shusharina NN — project supervision and manuscript revision.

Received: 2019-03-21 Accepted: 2019-05-16 Published online: 2019-05-29

Fig. Confusion matrices for the random forest algorithm (left panel) and the convolutional neural network (right panel)

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ORIGINAL RESEARCH Electroencephalogram-based emotion recognition using a convolutional neural network

Savinov VB, Botman SA, Sapunov VV, Petrov VA, Samusev IG, Shusharina NN

Published in "Bulletin of RSMU" 3, 2019

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Vancouver style

Savinov VB, Botman SA, Sapunov VV, Petrov VA, Samusev IG, Shusharina NN. Electroencephalogram-based emotion recognition using a convolutional neural network. Bulletin of RSMU. 2019; (3): 32–5. DOI: 10.24075/brsmu.2019.037

Harvard style

Savinov, V. B., Botman, S. A., Sapunov, V. V., Petrov, V. A., Samusev, I. G. and Shusharina, N. N. (2019), "Electroencephalogram-based emotion recognition using a convolutional neural network", Bulletin of RSMU, no. 3, p. 32–35. DOI: 10.24075/brsmu.2019.037

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ORIGINAL RESEARCH

Electroencephalogram-based emotion recognition using a convolutional neural network