Xiangyang Zhu received the B.S. degree from the Department of Automatic Control Engineering, Nanjing Institute of Technology, Nanjing, China, in 1985, and the M.Phil. degree in instrumentation engineering and the Ph.D. degree in automatic control engineering from Southeast University, Nanjing, China, in 1989 and 1992, respectively. From 1993 to 1994, he was a Post-Doctoral Research Fellow with the Huazhong University of Science and Technology, Wuhan, China. He joined the Department of Mechanical Engineering, Southeast University, as an Associate Professor, in 1995. Since 2002, he has been a Professor with the School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China, where he is currently the Director of Robotics Institute and the Director of the State Key Laboratory of Mechanical System and Vibration. He has authored 170 papers in peer-reviewed international journals and conference proceedings. His current research interests include robot manipulation planning, human–machine interfacing, and neural prosthesis. He is currently an Associate Editor of the IEEE TRANSACTIONS on CYBERNETICS. He is also in the Editorial Board of the Journal of Bionic Engineering.
TBME, Featured ArticlesDecoding Covert Somatosensory Attention by a BCI System Calibrated With Tactile Sensation
Objective: We propose a novel calibration strategy to facilitate the decoding of covert somatosensory attention by exploring the oscillatory dynamics induced by tactile sensation. Methods: It was hypothesized that the similarity of the oscillatory pattern between stimulation sensation (SS, real... Read more
Posted on 30 JUL 2018
TNSRE, Featured ArticlesA Stimulus-Independent Hybrid BCI Based on Motor Imagery and Somatosensory Attentional Orientation
Lin Yao, Xinjun Sheng, Dingguo Zhang, Ning Jiang, Natalie Mrachacz-Kersting, Xiangyang Zhu, Dario Farina
Distinctive EEG signals from the motor and somatosensory cortex are generated during mental tasks of motor imagery (MI) and somatosensory attentional orientation (SAO). In this study, we hypothesize that a combination of these two signal modalities provides improvements in BCI... Read more
Posted on 16 AUG 2017