LSTM Improves Accuracy of Reaching Trajectory Prediction From Magnetoencephalography Signals

LSTM Improves Accuracy of Reaching Trajectory Prediction From Magnetoencephalography Signals

Brain-computer interface (BCI) is a promising and very helpful technology. BCI studies have attempted to predict arm movements to control robotic arm depending on movement intentions. However, the low accuracy of movement prediction is a critical challenge in predicting arm movements. The aim of thi...

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Bibliographic Details
Main Authors: Hong Gi Yeom, June Sic Kim, Chun Kee Chung
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Brain-computer interface
deep learning
long short-term memory
Online Access:https://ieeexplore.ieee.org/document/8970482/

Internet

https://ieeexplore.ieee.org/document/8970482/

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