Development of Mind Control System for Humanoid Robot through a Brain Computer Interface
We develop a mind control system for humanoid robot through a brain-computer-interface (BCI), consisting of a 32 channel electroencephalograph (EEG), a humanoid robot, and a CCD camera. We present two types of humanoid robots in the BCI control system: KT-X PC robot with 20 degrees of freedom (DOFs) or NAO H25 robot with 25 DOFs. The CCD camera takes video clips of a subject or an instructor hand postures to identify mental activities when the subject is thinking “turning right, “turning left, or “walking forward. As an initial test, we implement three types of robot walking behaviors: turning right, turning left and walking forward, and report the neural signals correlated to these three mental activities.
BCI system humanoid robot neural signal processing mind control robot walking behavior
Wei Li Christian Jaramillo Yunyi Li
Department of Computer Engineering and ScienceCalifornia State University, Bakersfield, CA 93311, US Department of Computer Engineering and Science California State University, Bakersfield, CA 93311, U Department of Psychology and Neuroscience, Duke University417 Chapel Drive, Durham, NC 27708-0086, U
国际会议
三亚
英文
679-682
2012-01-06(万方平台首次上网日期,不代表论文的发表时间)