Muhammad Ibn Ibrahimy

International Islamic University Malaysia

Papers

Total Citations

393

H-Index

About

Dr. Muhammad Ibn Ibrahimy is a leading researcher in biomedical signal processing and human-computer interaction (HCI), with a focus on electromyography (EMG)-based systems. His work centers on decoding muscle electrical activity to enable intuitive, non-invasive control of assistive technologies and computerized devices. Dr. Ibrahimy’s major contributions include pioneering the use of artificial neural networks (ANNs) for classifying EMG signals to recognize hand gestures, a breakthrough that has significantly advanced prosthetic control and HCI. His seminal review, "EMG signal classification for human computer interaction: a review" (2009), has garnered 211 citations, establishing a foundational framework for the field. His subsequent work, "Electromyography (EMG) signal based hand gesture recognition using artificial neural network (ANN)" (2011), with 144 citations, demonstrated robust real-time gesture detection, while his "Neural Network Classifier for Hand Motion Detection from EMG Signal" (2011) further refined classification accuracy. With over 390 cumulative citations across these key papers, Dr. Ibrahimy’s research has profoundly impacted rehabilitation engineering and smart interface design, offering practical solutions for individuals with motor impairments and shaping the future of seamless human-machine interaction.