Hiba Hellara

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About

Hiba Hellara is a researcher at the forefront of human-machine interaction and rehabilitation robotics, specializing in the development of intuitive control systems that bridge the gap between biological signals and robotic precision. Her key research areas encompass electromyography (EMG) and force myography (FMG) sensing, gesture recognition, and assistive technologies. Hellara’s major contribution lies in pioneering hybrid measurement systems that fuse EMG and FMG data to achieve superior accuracy in hand sign recognition—a critical advancement for prosthetic control, robotic manipulation, and rehabilitation guidance. Her most-cited work, "A Hybrid Measurement System for Hand Signs Recognition based on EMG-FMG Measurements" (2022), has already garnered 3 citations, demonstrating early impact in this rapidly evolving field. By addressing the limitations of single-modality sensing, Hellara’s research enables more robust and reliable human-machine interfaces, directly benefiting patients undergoing motor rehabilitation and operators requiring precise robotic control. Her work represents a significant step toward seamless, natural interaction between humans and machines, positioning her as an emerging voice in the quest for smarter, more responsive assistive technologies.