会议专题

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

2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

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)