Oula Hatahet

Jordan University of Science and Technology

Papers

Total Citations

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About

Oula Hatahet is a researcher at the forefront of human-computer interaction and biomedical engineering, with a specialized focus on electromyography (EMG)-based gesture recognition. Their most notable contribution is the development of a novel neuroevolution model for EMG-based hand gesture classification, published in 2023. This work integrates evolutionary algorithms with neural networks to enhance the accuracy and adaptability of prosthetic control systems, offering a promising pathway for more intuitive and responsive assistive technologies. With 9 citations, this paper has already garnered attention for its innovative approach to tackling the challenges of real-time gesture classification from muscle signals. Hatahet’s research sits at the intersection of machine learning, signal processing, and rehabilitation engineering, aiming to bridge the gap between biological signals and artificial systems. Their work not only advances the field of neuroprosthetics but also contributes to broader applications in human-robot interaction and wearable technology. By pushing the boundaries of how machines interpret human intent through muscle activity, Hatahet is helping to shape a future where seamless, natural control of devices becomes a reality for individuals with motor impairments.