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About

Daniel Andreas is a researcher at the forefront of human–machine interaction, specializing in wearable technologies, multimodal sensing, and prosthetic embodiment. His work centers on bridging the gap between biological and artificial systems, with a particular focus on bidirectional interfaces that combine motion capture with vibrotactile feedback. Andreas’s major contributions include the development of a wireless bracelet that enables two-way communication between humans and machines, a breakthrough that enhances sensory presence and causal interaction. He also created the MyoKi database, a comprehensive resource capturing multimodal myography and hand kinematics during realistic daily activities, addressing the limitations of controlled laboratory studies. His research on sensor fusion for intent detection integrates muscular activity and gyroscopic data, advancing prosthetic control systems. Andreas’s work has garnered early recognition, with his most cited paper accumulating 6 citations since 2024. Notably, his opinion article on measuring, modeling, and fostering embodiment of robotic prostheses highlights his forward-thinking approach to neuroergonomics. By prioritizing real-world complexity and user-centered design, Andreas is shaping the future of assistive technologies and human augmentation.