Acquiring Brain Signals of Imagining Humanoid Robot Walking Behavior via Cerebot View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Wei Li , Yunyi Li , Genshe Chen , Qinghao Meng , Ming Zeng , Fuchun Sun

ABSTRACT

Control of humanoid robot behavior with the mind begins a new era of robotics research. One of the critical issues in this research is how to acquire the brain signals with high quality which are correlated to humanoid robot behavior. In order to improve subjects’ concentration on their mental activities during tests, we develop a stimuli module in the Cerebot system, consisting of a Cerebus neural data acquisition system and a Kumotek robot with 20 degrees of freedom or a NAO robot with 25 degrees of freedom. We present the experimental procedures for acquiring brain signals of imagining humanoid robot walking behavior by using movies of robot walking or real robot walking activities. We record two groups of brain signals correlated to mental activities of six robot walking behavior. Finally, we present a demonstration of controlling the humanoid robot walking behavior using the phase coding mechanisms of the Delta rhythms. More... »

PAGES

617-627

Book

TITLE

Foundations and Practical Applications of Cognitive Systems and Information Processing

ISBN

978-3-642-37834-8
978-3-642-37835-5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-37835-5_53

DOI

http://dx.doi.org/10.1007/978-3-642-37835-5_53

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013251434


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