I Aryeni

Papers

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About

I Aryeni is a researcher in biomedical engineering and human-robot interaction, with a focus on harnessing physiological signals for assistive technologies. Her key research areas include electromyography (EMG)-based control systems, neural network applications, and mobile robotics. Aryeni’s major contribution lies in developing a robot mobile control system that interprets three distinct EMG signals—from the jaw, right arm, and left arm muscles—using an artificial neural network. This work, published in 2019, demonstrates how peak EMG values can be translated into movement commands, offering a non-invasive interface for individuals with motor impairments. While her most-cited paper has garnered 1 citation, its innovative approach to multi-muscle signal processing highlights her potential to advance human-machine interaction. Aryeni’s research bridges the gap between biological signals and robotic systems, paving the way for more intuitive and accessible control mechanisms. Her work is particularly notable for its practical application in assistive robotics, where EMG-driven control can enhance independence for users with limited mobility.