Projects

Significance of Subject-Dependency for Imagined Speech Classification Using EEG

Published:

This study explores how subject-specific characteristics affect the accuracy of classifying imagined phonemes using EEG signals, providing insights into the development of more robust Brain-Computer Interfaces (BCI).

Recommended citation: S.N. Liyanagoonawardhena, A.T. Palihakkara, D.N. Mudalige, U.G.C. Jayasankha, A. De Silva & T. Chang. (2023). "Significance of Subject-Dependency for Imagined Speech Classification Using EEG." IEEE ICIIS 2023. https://ieeexplore.ieee.org/

Imagined Speech Decoder - Thesis

Published:

My undergraduate final year project involved the design of an electronic data acquisition system and the implementation of signal processing and machine learning methods to decode imagined speech from neural signals.

Recommended citation: U.G.C. Jayasankha, D.N. Mudalige, A.T. Palihakkara, S.N. Liyanagoonawardhena. (2022). "Imagined Speech Decoder." Undergraduate Thesis, University of Moratuwa. https://drive.google.com/file/d/13k147ElebR_Vby_xg5hQu9vXQoNzORJG/view?usp=sharing