9 Papers
Yang Xu is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Computer science & Robotic arm. The author has an hindex of 4, co-authored 7 publications.
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Papers
Optimal referencing for stereo-electroencephalographic (SEEG) recordings.
Guangye Li,Guangye Li,Shize Jiang,Sivylla E. Paraskevopoulou,Meng Wang,Yang Xu,Zehan Wu,Liang Chen,Dingguo Zhang,Gerwin Schalk,Gerwin Schalk,Gerwin Schalk +11 more
TL;DR: The results from three different signal quality metrics suggest the use of the Laplacian re‐reference for study of local population‐level activity and low‐frequency oscillatory activity.
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Shared control of a robotic arm using non-invasive brain–computer interface and computer vision guidance
TL;DR: The results show that the shared control can make the robotic arm accomplish the complex tasks (reach and grasp) with the simple two-class MI-based BCI and computer vision guidance.
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A brain-actuated robotic arm system using non-invasive hybrid brain-computer interface and shared control strategy
TL;DR: In this article, the authors proposed a shared controller for motion automatic optimization, together with a hybrid BCI control scheme that allocated paradigms according to the importance of commands to realize multi-dimensional and effective control of a robotic arm.
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A Shared Control Strategy for Reach and Grasp of Multiple Objects Using Robot Vision and Noninvasive Brain-Computer Interface
TL;DR: The results of the experiments showed that the accuracy and efficiency of grasping tasks increased significantly in the shared control mode together with a significant decrease in the perceived mental workload, which indicates that the proposed shared control system is effective and user-friendly in practice.
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Two ways to improve myoelectric control for a transhumeral amputee after targeted muscle reinnervation: a case study
TL;DR: Although the sEMG signals were still coupled after rehabilitation training on the TMR patient, the online performance of the prosthetic operation was improved through application of PR control with combination of the MAV-based threshold switches.