https://scholars.lib.ntu.edu.tw/handle/123456789/611572
標題: | Time-Shift Correlation Algorithm for P300 Event Related Potential Brain-Computer Interface Implementation | 作者: | Liu J.-C. Chou H.-C. Chen C.-H. Lin Y.-T. Kuo C.-H. CHUNG-HSIEN KUO |
關鍵字: | Anthropomorphic robots;Bioelectric potentials;Frequency modulation;Interfaces (computer);Neural networks;Stress intensity factors;Correlation algorithm;Event related potentials;Fast recognition;High efficient;Information transfer rate;Operating modes;Time uncertainty;Visual stimulus;Brain computer interface;algorithm;biological model;brain;brain computer interface;computer simulation;electroencephalography;event related potential;feedback system;female;human;male;photostimulation;physiology;signal processing;time perception;young adult;Algorithms;Brain;Brain-Computer Interfaces;Computer Simulation;Electroencephalography;Event-Related Potentials, P300;Feedback;Female;Humans;Male;Models, Neurological;Photic Stimulation;Signal Processing, Computer-Assisted;Time Perception;Young Adult | 公開日期: | 2016 | 卷: | 2016 | 來源出版物: | Computational Intelligence and Neuroscience | 摘要: | 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. ? 2016 Ju-Chi Liu et al. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983761106&doi=10.1155%2f2016%2f3039454&partnerID=40&md5=07dded59ac3aff4512e48c4725619570 https://scholars.lib.ntu.edu.tw/handle/123456789/611572 |
DOI: | 10.1155/2016/3039454 |
顯示於: | 機械工程學系 |
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