Farhan Fuad Rupom

About

Farhan Fuad Rupom is a pioneering researcher in the field of Human-Computer Interaction (HCI), with a primary focus on gesture recognition and bionic prosthetics. His most influential work, "EMG Controlled Bionic Robotic Arm using Artificial Intelligence and Machine Learning" (2020, 13 citations), represents a breakthrough in the application of surface Electromyography (sEMG) for intuitive device control. Rupom's research centers on developing intelligent systems that can accurately identify and classify human gestures, enabling seamless communication between users and machines. His major contribution lies in integrating artificial intelligence and machine learning algorithms with sEMG signals to create responsive, natural interfaces for controlling bionic limbs and other assistive technologies. This work has significant implications for improving the quality of life for amputees and individuals with motor impairments. Beyond his cited paper, Rupom continues to advance the field of HCI, exploring how AI-driven gesture recognition can transform human-machine interaction. His research demonstrates the potential of combining biomedical signal processing with machine learning to create more accessible and intuitive control systems for assistive technologies.

Research Focus

Key Achievements

Top Papers

1. 1
   EMG Controlled Bionic Robotic Arm using Artificial Intelligence and Machine Learning

   13 citations · 2020

Key Collaborators

Contact & Links