Eduardo Parente Ribeiro
Papers
2
Total Citations
59
H-Index
2
About
Eduardo Parente Ribeiro is a leading researcher in non-verbal human-robot interaction and transhumanist robotics, with a focus on electromyography (EMG)-based control systems. His work bridges the gap between biological signals and machine learning, enabling intuitive, real-time communication between humans and machines. In his highly cited 2020 study, "Thumbs up, thumbs down," Ribeiro introduced a novel transfer learning method for classifying EMG gestures—such as thumbs up and thumbs down—using the Myo armband. This approach, leveraging inductive and supervised transductive transfer learning, achieved 41 citations for its practical impact on prosthetic and robotic control. His earlier 2018 work, "Stepping-stones to Transhumanism," garnered 18 citations by demonstrating a low-cost, EMG-controlled prosthetic hand designed for academic exploration. This project exemplifies his commitment to accessible, transhumanist technologies that enhance human capabilities. Ribeiro’s contributions are notable for their real-world applicability, advancing affordable prosthetics and seamless human-robot interfaces. His research continues to inspire students and engineers, offering a blueprint for integrating machine learning with wearable bio-signal sensors to push the boundaries of human augmentation and interaction.
Research Focus
Key Achievements
Top Papers
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