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...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: Tang Yuting
Muut tekijät: Guan Cuntai
Aineistotyyppi: Final Year Project (FYP)
Kieli:English
Julkaistu: Nanyang Technological University 2023
Aiheet:
Engineering::Computer science and engineering::Computer applications::Computer-aided engineering
Science::Medicine::Computer applications
Linkit:https://hdl.handle.net/10356/171995

Internet

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

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