Atabak Pouya

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About

Atabak Pouya is a researcher at the intersection of neural engineering and human motor control, with a primary focus on decoding human intention from physiological signals. His key research areas include electromyography (EMG) signal processing, sensorimotor neuroscience, and the development of intuitive human-machine interfaces. Pouya’s most notable contribution is his work on decoding object weight from EMG during human grasping, a study that bridges the gap between muscle activity and the physical properties of manipulated objects. This research demonstrates how subtle variations in muscle contractions can reveal not just movement, but the underlying cognitive and perceptual states of the user. By showing that EMG signals carry information about object weight, his work has direct implications for advanced prosthetics, robotic teleoperation, and assistive technologies. With his top-cited paper accumulating 4 citations, Pouya’s impact is growing within the niche field of myoelectric control. His approach—treating voluntary action as the final expression of human desire—offers a compelling framework for building more natural and responsive neural interfaces. For students and researchers, Pouya’s work exemplifies how careful analysis of biological signals can unlock new dimensions of human-machine interaction.