Evaluating a Semiautonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision
المؤلفون المشاركون
Gutiérrez, David
Ramírez-Moreno, Mauricio Adolfo
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-11-27
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص EN
In this paper, we evaluate a semiautonomous brain-computer interface (BCI) for manipulation tasks.
In such a system, the user controls a robotic arm through motor imagery commands.
In traditional process-control BCI systems, the user has to provide those commands continuously in order to manipulate the effector of the robot step-by-step, which results in a tiresome process for simple tasks such as pick and replace an item from a surface.
Here, we take a semiautonomous approach based on a conformal geometric algebra model that solves the inverse kinematics of the robot on the fly, and then the user only has to decide on the start of the movement and the final position of the effector (goal-selection approach).
Under these conditions, we implemented pick-and-place tasks with a disk as an item and two target areas placed on the table at arbitrary positions.
An artificial vision (AV) algorithm was used to obtain the positions of the items expressed in the robot frame through images captured with a webcam.
Then, the AV algorithm is integrated into the inverse kinematics model to perform the manipulation tasks.
As proof-of-concept, different users were trained to control the pick-and-place tasks through the process-control and semiautonomous goal-selection approaches so that the performance of both schemes could be compared.
Our results show the superiority in performance of the semiautonomous approach as well as evidence of less mental fatigue with it.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ramírez-Moreno, Mauricio Adolfo& Gutiérrez, David. 2019. Evaluating a Semiautonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1129676
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ramírez-Moreno, Mauricio Adolfo& Gutiérrez, David. Evaluating a Semiautonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-19.
https://search.emarefa.net/detail/BIM-1129676
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ramírez-Moreno, Mauricio Adolfo& Gutiérrez, David. Evaluating a Semiautonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1129676
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129676
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