Minh Quoc Nguyen

Papers

Total Citations

H-Index

About

Minh Quoc Nguyen is a researcher at the forefront of human–machine interaction, specializing in electromyography (EMG)-based control systems and the Internet of Things (IoT). His work focuses on bridging the gap between biological signals and smart devices, enabling intuitive, gesture-driven remote control applications. Nguyen’s most cited paper, “EMG-based IoT System using Hand Gestures for Remote Control Applications” (2021), with 7 citations, addresses critical limitations in traditional EMG systems—namely, short controlling ranges and limited device support. By integrating EMG sensors with IoT architectures, he has pioneered a more advanced framework that expands both the reach and versatility of gesture-based control. This contribution is particularly impactful for assistive technologies and smart home automation, where seamless, non-contact interaction is essential. Nguyen’s research not only advances the practical utility of EMG in everyday environments but also opens new pathways for scalable, user-friendly IoT ecosystems. His work stands as a key reference for engineers and researchers developing next-generation human–computer interfaces that are both responsive and accessible.