Wireless Stimulus-on-Device Design for Novel P300 Hybrid Brain-Computer Interface Applications
المؤلفون المشاركون
Kuo, Chung-Hsien
Chen, Hung-Hsuan
Chou, Hung-Chyun
Chen, Ping-Nan
Kuo, Yu-Cheng
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-07-18
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Improving the independent living ability of people who have suffered spinal cord injuries (SCIs) is essential for their quality of life.
Brain-computer interfaces (BCIs) provide promising solutions for people with high-level SCIs.
This paper proposes a novel and practical P300-based hybrid stimulus-on-device (SoD) BCI architecture for wireless networking applications.
Instead of a stimulus-on-panel architecture (SoP), the proposed SoD architecture provides an intuitive control scheme.
However, because P300 recognitions rely on the synchronization between stimuli and response potentials, the variation of latency between target stimuli and elicited P300 is a concern when applying a P300-based BCI to wireless applications.
In addition, the subject-dependent variation of elicited P300 affects the performance of the BCI.
Thus, an adaptive model that determines an appropriate interval for P300 feature extraction was proposed in this paper.
Hence, this paper employed the artificial bee colony- (ABC-) based interval type-2 fuzzy logic system (IT2FLS) to deal with the variation of latency between target stimuli and elicited P300 so that the proposed P300-based SoD approach would be feasible.
Furthermore, the target and nontarget stimuli were identified in terms of a support vector machine (SVM) classifier.
Experimental results showed that, from five subjects, the performance of classification and information transfer rate were improved after calibrations (86.00% and 24.2 bits/ min before calibrations; 90.25% and 27.9 bits/ min after calibrations).
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kuo, Chung-Hsien& Chen, Hung-Hsuan& Chou, Hung-Chyun& Chen, Ping-Nan& Kuo, Yu-Cheng. 2018. Wireless Stimulus-on-Device Design for Novel P300 Hybrid Brain-Computer Interface Applications. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1130635
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kuo, Chung-Hsien…[et al.]. Wireless Stimulus-on-Device Design for Novel P300 Hybrid Brain-Computer Interface Applications. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1130635
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kuo, Chung-Hsien& Chen, Hung-Hsuan& Chou, Hung-Chyun& Chen, Ping-Nan& Kuo, Yu-Cheng. Wireless Stimulus-on-Device Design for Novel P300 Hybrid Brain-Computer Interface Applications. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1130635
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1130635
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