Ayman M. Brisha

Papers

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About

Ayman M. Brisha is a researcher specializing in biomedical instrumentation and human-computer interaction, with a particular focus on electrooculography (EOG) systems. His primary contributions lie in developing accessible, microcontroller-based platforms for acquiring and processing EOG signals—the electrical potentials generated by eye movements. His most cited work, "EOG acquisition system based on ATmega AVR microcontroller" (2023, 7 citations), presents a complete hardware-software solution for capturing vertical and horizontal eye movements, creating a valuable dataset for further research. Building on this foundation, his paper "Control of Robot Arm Based on EOG Signals" (2021, 4 citations) demonstrates a practical application of this technology, using an Arduino-based EOG system to wirelessly control a robotic arm via the NRF24L01 transceiver module. This work highlights the potential of EOG for assistive technologies and hands-free control interfaces. By prioritizing low-cost, open-source components like AVR and Arduino microcontrollers, Brisha’s research lowers the barrier to entry for EOG-based systems, making them more accessible for prototyping, education, and future innovation in biomedical engineering.