Abdulrahman M. Selim

Universität des Saarlandes

Thesis: I conducted a gamified Electroencephalography (EEG) data collection study from participants while they produced both normal and silent speech. Afterwards, I used the data to train a machine learning classifier on the EEG data from normal speech and tested the classifier on the EEG data from silent speech to see the feasibility of recognizing silent speech from normal speech which would facilitate data collection studies. The software tools used were Python, MongoDB, gRPC & GDevelop game… Show more Thesis: I conducted a gamified Electroencephalography (EEG) data collection study from participants while they produced both normal and silent speech. Afterwards, I used the data to train a machine learning classifier on the EEG data from normal speech and tested the classifier on the EEG data from silent speech to see the feasibility of recognizing silent speech from normal speech which would facilitate data collection studies. The software tools used were Python, MongoDB, gRPC & GDevelop game engine. Courses: Human-Computer Interaction, Statistics with R, Data Networks, Cryptography, Advanced Software Engineering, Physical Computing Seminar, and Usable security. Show less

Cairo University

The thesis was conducted with the focus of trying to see the feasibility of differentiating between normal EEG signals and each of Epileptic, Autistic & ADHD EEG signals in children.

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