Fractional Hybrid Election Based Optimization with DRN for Brain Thoughts to Text Conversion Using EEG Signal

Jyoti Botkar, Virendra V. Shete, Ramesh Y. Mali

2025

Abstract

A Brain-Computer Interface (BCI) system based on electroencephalography (EEG) permits users to interconnect to contact the outer world using devices, like intelligent robots and wheelchairs by interpreting their brain EEG signals. Translating brain dynamics into natural language is critical to BCI, which has seen considerable development in recent years. This work proposes a novel method for brain thoughts-to-text conversion utilizing EEG signals. At first, the Brain EEG signal is taken from a database, which contains EEG signals related to tried imaginary thoughts of questions and statements. Afterward, signal preprocessing is done by exploiting a Gaussian Filter to reduce noise in EEG signals. Consequently, signal segmentation is done by the Maximum A posteriori probability (MAP) estimator. Later, feature extraction is done. After, word recognition is accomplished using Deep Residual Network (DRN) tuned by the proposed optimization technique called Fractional Hybrid Election-Based Optimization (FHEBO). Here, the FHEBO is developed by the amalgamation of Hybrid Election-Based Optimization (HEBO) and Fractional Calculus (FC). Further, language modelling is accomplished by utilizing the Gaussian Mixture Model (GMM). Moreover, the proposed approach is observed to record maximal text conversion accuracy at 91.765%, precision at 92.765%, F-measure at 94.241%, recall at 95.765%, and minimal error rate at 8.235%.

Paper Citation

in Harvard Style

Botkar J., Shete V. and Mali R. (2025). Fractional Hybrid Election Based Optimization with DRN for Brain Thoughts to Text Conversion Using EEG Signal. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 852-861. DOI: 10.5220/0013606100004664

in Bibtex Style

@conference{incoft25,
author={Jyoti Botkar and Virendra Shete and Ramesh Mali},
title={Fractional Hybrid Election Based Optimization with DRN for Brain Thoughts to Text Conversion Using EEG Signal},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={852-861},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013606100004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - Fractional Hybrid Election Based Optimization with DRN for Brain Thoughts to Text Conversion Using EEG Signal
SN - 978-989-758-763-4
AU - Botkar J.
AU - Shete V.
AU - Mali R.
PY - 2025
SP - 852
EP - 861
DO - 10.5220/0013606100004664
PB - SciTePress