Erik Scheme
Papers
7
Total Citations
331
H-Index
5
About
Erik Scheme is a leading researcher in rehabilitation robotics and human-machine interaction, with a primary focus on advancing myoelectric control for prosthetic devices. His work addresses the critical gap between decades of research and the limited real-world performance of prosthetic hands. Scheme’s major contributions include pioneering work on peripheral machine interfaces, as demonstrated by his highly cited 2014 workshop proceedings (214 citations), which helped define the field’s future directions. He has significantly advanced understanding of sensory feedback integration, showing that discrete tactile feedback can outperform continuous audio biofeedback in prosthetic control (34 citations), and that augmented feedback improves internal model strength and performance (53 citations). More recently, Scheme has developed innovative approaches to eliminate false activations in myoelectric control through wake gestures (2024-2025), addressing a key barrier to real-world adoption. His work also extends to multimodal force modeling using EMG and IMU with transfer learning (2024), and EEG-based motor imagery decoding for rehabilitation robots. Scheme’s research is characterized by its practical focus on translating laboratory advances into clinically viable solutions, making him a pivotal figure in the quest for more intuitive and reliable prosthetic control systems.
Research Focus
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