Control of bipedal locomotion with a neural oscillator-based brain-computer interface

This study proposes a neural oscillator-based brain–computer interface (BCI) that controls a bipedal neuromusculoskeletal (NMS) model by inputting electroencephalogram (EEG) signals.In this BCI system, while the bipedal NMS system realizes bipedal locomotion through internal entrainment among neural...

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Bibliographic Details
Main Authors: Ikeda, Ryo, Horie, Ryota
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2016
Subjects:
Online Access:http://repo.uum.edu.my/24067/1/JICT%2015%20%202%202016%2019%E2%80%9337.pdf
http://repo.uum.edu.my/24067/
http://jict.uum.edu.my/index.php/previous-issues/149-1
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