Weijie Fei
Papers
2
Total Citations
35
H-Index
2
About
Dr. Weijie Fei is a leading researcher in the field of human-robot interaction, specializing in decoding human motor intent from biosignals. Their work focuses on bridging the communication gap between humans and machines, with key contributions in electromyography (EMG) and electroencephalography (EEG) signal processing. Dr. Fei’s most impactful paper, “EMG-Based 3D Hand Motor Intention Prediction for Information Transfer from Human to Robot” (2021, 30 citations), pioneered a method to infer three-dimensional hand position from EMG signals, enabling intuitive control in collaborative robotics. This work has been instrumental in advancing assistive technologies and prosthetic control. Additionally, their 2019 study, “EEG-Based Recognition Method of Intentional and Unintentional Hand Movement” (5 citations), introduced an innovative approach using optimized linear discriminant analysis (LDA) combined with particle swarm optimization (PSO) to distinguish between voluntary and involuntary movements. This research holds significant promise for brain-computer interfaces (BCIs) and rehabilitation systems. Dr. Fei’s contributions are shaping the future of seamless human-robot collaboration, offering new pathways for restoring motor function and enhancing human-machine synergy.
Research Focus
Key Achievements
Top Papers
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