Shafaitul Jannat

Papers

Total Citations

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About

Shafaitul Jannat is a pioneering researcher at the intersection of human-computer interaction, biomedical engineering, and artificial intelligence. Her most influential work, "EMG Controlled Bionic Robotic Arm using Artificial Intelligence and Machine Learning" (2020, 13 citations), represents a breakthrough in gesture recognition technology. Jannat's research fundamentally addresses the challenge of creating intuitive, non-invasive interfaces that translate human physiological signals into precise machine commands. By leveraging surface electromyography (sEMG) and advanced machine learning algorithms, she has developed systems that can accurately classify and interpret complex hand gestures, enabling seamless control of prosthetic and robotic devices. Her work has profound implications for assistive technology, offering new possibilities for individuals with limb differences. Beyond her citation impact, Jannat's contributions stand out for their practical application in human-computer interaction, demonstrating how AI can bridge the gap between biological signals and digital commands. Her research continues to inspire innovations in bionic prosthetics and intelligent control systems, making her a notable figure in the growing field of bio-inspired robotics and neural interface design.