Progress in EEG-Based Brain Robot Interaction Systems
المؤلفون المشاركون
Mao, Xiaoqian
Li, Mengfan
Li, Wei
Niu, Linwei
Xian, Bin
Zeng, Ming
Chen, Genshe
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-25، 25ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-04-05
دولة النشر
مصر
عدد الصفحات
25
التخصصات الرئيسية
الملخص EN
The most popular noninvasive Brain Robot Interaction (BRI) technology uses the electroencephalogram- (EEG-) based Brain Computer Interface (BCI), to serve as an additional communication channel, for robot control via brainwaves.
This technology is promising for elderly or disabled patient assistance with daily life.
The key issue of a BRI system is to identify human mental activities, by decoding brainwaves, acquired with an EEG device.
Compared with other BCI applications, such as word speller, the development of these applications may be more challenging since control of robot systems via brainwaves must consider surrounding environment feedback in real-time, robot mechanical kinematics, and dynamics, as well as robot control architecture and behavior.
This article reviews the major techniques needed for developing BRI systems.
In this review article, we first briefly introduce the background and development of mind-controlled robot technologies.
Second, we discuss the EEG-based brain signal models with respect to generating principles, evoking mechanisms, and experimental paradigms.
Subsequently, we review in detail commonly used methods for decoding brain signals, namely, preprocessing, feature extraction, and feature classification, and summarize several typical application examples.
Next, we describe a few BRI applications, including wheelchairs, manipulators, drones, and humanoid robots with respect to synchronous and asynchronous BCI-based techniques.
Finally, we address some existing problems and challenges with future BRI techniques.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Mao, Xiaoqian& Li, Mengfan& Li, Wei& Niu, Linwei& Xian, Bin& Zeng, Ming…[et al.]. 2017. Progress in EEG-Based Brain Robot Interaction Systems. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-25.
https://search.emarefa.net/detail/BIM-1139842
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Mao, Xiaoqian…[et al.]. Progress in EEG-Based Brain Robot Interaction Systems. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-25.
https://search.emarefa.net/detail/BIM-1139842
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Mao, Xiaoqian& Li, Mengfan& Li, Wei& Niu, Linwei& Xian, Bin& Zeng, Ming…[et al.]. Progress in EEG-Based Brain Robot Interaction Systems. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-25.
https://search.emarefa.net/detail/BIM-1139842
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139842
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