Papers
3
Total Citations
45
H-Index
2
About
Wanjoo Park is a leading researcher in neurorehabilitation and brain-computer interfaces (BCIs), with a focus on restoring motor function in stroke patients. His work bridges robotics, machine learning, and neural signal processing to develop assistive technologies that improve daily living. Park’s most cited paper (2024, 22 citations) introduces a multi-task heterogeneous ensemble learning framework for cross-subject EEG classification, enabling more robust detection of motor imagery in stroke patients—a critical step toward personalized, real-time neurorehabilitation. Earlier, he designed a patient-driven robotic hand rehabilitation device (2013, 21 citations) that uses small actuators and infrared sensors to support grasp training, emphasizing user-centered control for activities of daily living. His research also includes sample-by-sample detection of movement intention from EEG (2013), optimizing classifier decision parameters for finer neural decoding. With over 45 total citations, Park’s contributions are shaping adaptive, non-invasive BCI systems that empower stroke survivors. His work stands out for integrating heterogeneous learning techniques with practical rehabilitation devices, offering scalable solutions for motor recovery.
Research Focus
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Top Papers
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