Andreas Handojo

Papers

Total Citations

H-Index

About

Andreas Handojo is a researcher whose work sits at the intersection of brain-computer interfaces (BCI) and embedded systems, with a particular focus on practical, low-cost neuroprosthetic control. His most cited paper, "Brain Computer Interface for Controlling RC-Car Using Emotiv Epoc+" (2018, 6 citations), demonstrates a pioneering approach to translating electroencephalography (EEG) signals into real-world robotic navigation. By integrating the Emotiv Epoc+ headset with a Wi-Fi-enabled ESP8266 microcontroller, Handojo created an accessible system that allows users to remotely command a mobile robot using only brain signals—bypassing traditional manual controls. This work is notable for its emphasis on affordability and reproducibility, making BCI technology more tangible for students and hobbyists. While his citation count is modest, the project’s clear, step-by-step methodology has served as a foundational reference for subsequent low-cost BCI implementations. Handojo’s contributions highlight a commitment to democratizing neurotechnology, bridging the gap between complex neural signal processing and real-time, deployable hardware solutions.