Decoding Speech Imagination for Words of Rock-Paper-Scissors Game using EEG Signals

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Moghaddari Majid; Zolfy Lighvan Mina; Danishvar Sebelan

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Paper Information

Journal: JOURNAL OF ADVANCED SIGNAL PROCESSING Year:2021 | Volume:4 | Issue:2 (6) Page(s): 279-289

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Information Journal Paper

Title

Decoding Speech Imagination for Words of Rock-Paper-Scissors Game using EEG Signals

Author(s)

Moghaddari Majid | Zolfy Lighvan Mina | Danishvar Sebelan | Issue Writer Certificate

Keywords

Speech imagination

Mental speech

Brain signals

Brain-computer interface

EEG

Abstract

Recognition of silent speech only by decoding Brain signals is one of the latest research in the field of artificial intelligence. The 3rd Iranian national Brain-computer interface competition, which was held by the National Brain Mapping Center of Iran in 2020, was dedicated to the classification of imagined speech for the three words of rock-paper-scissors game. In this contest, the authors introduced an approach based on wavelet packets decomposition and common spatial pattern and could win the second place. We evaluated some of the most famous classifiers including support vector machine, k-nearest neighbor, random forest, logistic regression, XGBoost and dense deep learning model separately for each subject and simultaneously for all subjects. The best average accuracy was 51. 7%. Then we developed the model using spectrogram and convolutional neural network and achieved average accuracy of 76. 5%. The accuracy was much better than the accuracy reported by other researchers on this dataset. Also, the performance of our model is superior to recent research in this field on different datasets.

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APA: Copy

Moghaddari, Majid, Zolfy Lighvan, Mina, & Danishvar, Sebelan. (2021). Decoding Speech Imagination for Words of Rock-Paper-Scissors Game using EEG Signals. JOURNAL OF ADVANCED SIGNAL PROCESSING, 4(2 (6) ), 279-289. SID. https://sid.ir/paper/954981/en

Vancouver: Copy

Moghaddari Majid, Zolfy Lighvan Mina, Danishvar Sebelan. Decoding Speech Imagination for Words of Rock-Paper-Scissors Game using EEG Signals. JOURNAL OF ADVANCED SIGNAL PROCESSING[Internet]. 2021;4(2 (6) ):279-289. Available from: https://sid.ir/paper/954981/en

IEEE: Copy

Majid Moghaddari, Mina Zolfy Lighvan, and Sebelan Danishvar, “Decoding Speech Imagination for Words of Rock-Paper-Scissors Game using EEG Signals,” JOURNAL OF ADVANCED SIGNAL PROCESSING, vol. 4, no. 2 (6) , pp. 279–289, 2021, [Online]. Available: https://sid.ir/paper/954981/en

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