Time-Shift Correlation Algorithm for P300 Event Related Potential Brain-Computer Interface Implementation
المؤلفون المشاركون
Liu, Ju-Chi
Chou, Hung-Chyun
Chen, Chien-Hsiu
Lin, Yi-Tseng
Kuo, Chung-Hsien
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-22، 22ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-08-08
دولة النشر
مصر
عدد الصفحات
22
التخصصات الرئيسية
الملخص EN
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.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Ju-Chi& Chou, Hung-Chyun& Chen, Chien-Hsiu& Lin, Yi-Tseng& Kuo, Chung-Hsien. 2016. Time-Shift Correlation Algorithm for P300 Event Related Potential Brain-Computer Interface Implementation. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-22.
https://search.emarefa.net/detail/BIM-1099627
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Ju-Chi…[et al.]. Time-Shift Correlation Algorithm for P300 Event Related Potential Brain-Computer Interface Implementation. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-22.
https://search.emarefa.net/detail/BIM-1099627
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Ju-Chi& Chou, Hung-Chyun& Chen, Chien-Hsiu& Lin, Yi-Tseng& Kuo, Chung-Hsien. Time-Shift Correlation Algorithm for P300 Event Related Potential Brain-Computer Interface Implementation. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-22.
https://search.emarefa.net/detail/BIM-1099627
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099627
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر