Acquiring brain signals of imagining humanoid robot walking behavior via cerebot

被引：0
作者：
School of Electrical Engineering and Automation, Institute of Robotics and Autonomous System , Tianjin University, Tianjin, China [1 ]
不详 [2 ]
不详 [3 ]
不详 [4 ]
不详 [5 ]
机构：
[1] School of Electrical Engineering and Automation, Institute of Robotics and Autonomous System (IRAS), Tianjin University, Tianjin
[2] Department of Computer and Electrical Engineering and Computer Science, California State University, Bakersfield, Bakersfield, CA 93311-1022
[3] Department of Psychology and Neuroscience, Duke University, Durham, NC 27708-0086
[4] I-Fusion Technologies, Inc, Germantown
[5] State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing
来源：
Adv. Intell. Sys. Comput. | / 617-627期
关键词：
Brainwaves; Humanoid robot; Mind control; Phase coding; Robot walking behavior;
D O I：
10.1007/978-3-642-37835-5_53
中图分类号：
学科分类号：
摘要：
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. © Springer-Verlag Berlin Heidelberg 2014.
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页码：617 / 627
页数：10
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