Finger joint reconstruction from electroencephalography signals with deep learning

Finger joint reconstruction from electroencephalography signals with deep learning

Brain-Computer Interface (BCI) is an important technique for robot control and rehabilitation. Motion Trajectory Prediction BCI (MTP-BCI) is considered suitable for high-precision tasks by decoding continuous motion information from Electroencephalography (EEG) signals. While numerous studies ha...

Full description

Bibliographic Details
Main Author: Tang Yuting
Other Authors: Guan Cuntai
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering::Computer applications::Computer-aided engineering
Science::Medicine::Computer applications
Online Access:https://hdl.handle.net/10356/171995

Internet

https://hdl.handle.net/10356/171995

Similar Items