Mareike Daeglau
Papers
1
Total Citations
20
H-Index
1
About
Mareike Daeglau is a pioneering researcher at the intersection of motor neuroscience, brain-computer interfaces (BCIs), and neurofeedback. Her work centers on optimizing human-robot interaction through electroencephalography (EEG), particularly exploring how neurofeedback can enhance motor imagery practice. Daeglau’s most cited study, “Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback” (2020, 20 citations), demonstrates her key contribution: identifying that individual psychological and neurophysiological factors predict success in BCI control. By integrating humanoid robotics with real-time EEG feedback, she has advanced personalized approaches to motor rehabilitation and skill acquisition. Her research addresses the critical challenge of improving BCI usability, moving beyond signal processing to emphasize user-specific performance variability. Daeglau’s work has implications for neurorehabilitation, where tailored neurofeedback could accelerate recovery after stroke or injury. With her focus on individual differences and human-robot synergy, she is shaping the next generation of adaptive, user-centered neurotechnology.
Research Focus
Key Achievements
Top Papers
- 1