2024
DOI: 10.21203/rs.3.rs-4008991/v1
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Analysis of Machine Learning Models Using Proposed EEG Vowel Dataset

Asif Iqbal,
Arpit Bhardwaj,
Ashok Kumar Suhag
et al.

Abstract: Electroencephalogram (EEG) signals are produced by neurons of human brain and contain frequencies and electrical properties. It is easy for a Brain to Computer Interface (BCI) system to record EEG signals by using non-invasive methods. Speech imagery (SI) can be used to convert speech imaging into text, researches done so far on SI has made use of multichannel devices. In this work, we propose EEG signal dataset for imagined a/e/i/o/u vowels collected from 5 participants using NeuroSky Mindwave Mobile2 single … Show more

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