title: Time-Shift Correlation Algorithm for P300 Event Related Potential Brain-Computer Interface Implementation.
abstract: A high efficient time-shift correlation algorithm was proposed to deal with the peak time uncertainty of P300 evoked potential for a P300-based brain-computer interface (BCI). The time-shift correlation series data were collected as the input nodes of an artificial neural network (ANN), and the classification of four LED visual stimuli was selected as the output node. Two operating modes, including fast-recognition mode (FM) and accuracy-recognition mode (AM), were realized. The proposed BCI system was implemented on an embedded system for commanding an adult-size humanoid robot to evaluate the performance from investigating the ground truth trajectories of the humanoid robot. When the humanoid robot walked in a spacious area, the FM was used to control the robot with a higher information transfer rate (ITR). When the robot walked in a crowded area, the AM was used for high accuracy of recognition to reduce the risk of collision. The experimental results showed that, in 100 trials, the accuracy rate of FM was 87.8% and the average ITR was 52.73 bits/min. In addition, the accuracy rate was improved to 92% for the AM, and the average ITR decreased to 31.27 bits/min. due to strict recognition constraints.
authors: Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan; Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, New Taipei City 235, Taiwan.
authors: Ju-Chi
authors: JC
authors: Liu
authors: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.
authors: Hung-Chyun
authors: HC
authors: Chou
authors: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.
authors: Chien-Hsiu
authors: CH
authors: Chen
authors: Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.
authors: Yi-Tseng
authors: YT
authors: Lin
authors: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan; Department of Biomedical Engineering, National Defense Medical Center, Taipei 114, Taiwan.
authors: Chung-Hsien
authors: 0000-0002-8555-8104
authors: CH
authors: Kuo
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D062207:Brain-Computer Interfaces; D003198:Computer Simulation; D004569:Electroencephalography; D018913:Event-Related Potentials, P300 / Q000502:physiology*; D005246:Feedback; D005260:Female; D006801:Humans; D008297:Male; D008959:Models, Neurological; D010775:Photic Stimulation; D012815:Signal Processing, Computer-Assisted; D013998:Time Perception / Q000502:physiology*; D055815:Young Adult