Manoj Kumar Mukul

Papers

Total Citations

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About

Manoj Kumar Mukul is a researcher focused on advancing brain-computer interface (BCI) and human-machine interaction (HMI) technologies, with particular emphasis on assistive systems for physically challenged individuals. His work centers on developing practical, low-cost solutions for interpreting neural and ocular signals to enable communication and control. Mukul’s most cited paper, “EEG classification based on variance” (2014, 10 citations), introduces a method for classifying electroencephalogram (EEG) signals by analyzing variance, facilitating direct communication between the human brain and external devices such as computers or robots. This approach holds promise for commanding assistive technologies through mental thought alone. In his second highly cited work, “Design and development of low-cost EOG acquisition circuit for HMI application” (2015, 9 citations), Mukul presents an affordable electrooculogram (EOG) acquisition system built around an Op-Amp based amplifier and an ATMega8 microcontroller. This system demonstrates his commitment to making HMI technologies accessible and practical for real-world use. Together, these contributions highlight Mukul’s impact in creating efficient, cost-effective pathways for assistive communication, bridging the gap between biomedical signal processing and tangible human-machine interfaces.