A Low-Cost EEG System-Based Hybrid Brain-Computer Interface for Humanoid Robot Navigation and Recognition

• Published in: PloS one Vol. 8; no. 9; p. e74583
• Main Authors: Choi, Bongjae, Jo, Sungho
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 04.09.2013; Public Library of Science (PLoS)
• Subjects: Analysis; Brain; Brain-Computer Interfaces - economics; Classification; Computer applications; Computer science; Controllability; Data processing; Economic aspects; EEG; Electroencephalography; Electroencephalography - economics; Event-related potentials; Feasibility studies; Human-computer interface; Humanoid; Hybrid systems; Hybridization; Illusions; Image processing; Implants; Multitasking (Human behavior); Navigation; Object recognition; Pattern recognition; Protocol (computers); Remote control; Reproducibility of Results; Robotics; Robotics - economics; Robots; Stability; Synchronism; Synchronization; Task complexity; Time Factors; Visual perception; South Korea

This paper describes a hybrid brain-computer interface (BCI) technique that combines the P300 potential, the steady state visually evoked potential (SSVEP), and event related de-synchronization (ERD) to solve a complicated multi-task problem consisting of humanoid robot navigation and control along...