Efficient control system based on hand nerve signals
المؤلفون المشاركون
Abd al-Abbas, Ahmad Majid
Karuk, Muayyad Sadiq
المصدر
Iraqi Journal of Computer, Communications and Control Engineering
العدد
المجلد 19، العدد 3 (31 يوليو/تموز 2019)، ص ص. 27-39، 13ص.
الناشر
تاريخ النشر
2019-07-31
دولة النشر
العراق
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Recent advances in the control applications based on hand nerve signals are able to meet the needs of users who suffer from restrictions in limb movement and also provide high performance control for those paralyzed people.
These signals are represented as Electromyography (EMG) signals, which are biomedical ones, used for clinical/biomedical applications.
In this work, a control signals generation system is proposed based on hand EMG measurements.
The process of acquisition and processing of EMG signals is performed by only one channel surface EMG electrodes with one EMG processing unit as a muscle sensor.
In this work, Arduino UNO is adopted as an analog to digital converter for these hand nerve signals to be easily analyzed in the classification process.
These signals are measured from the skin surface of forearm and biceps muscles in two suggested case studies to be used in generating signals based on ten muscles movements.
The main features that crystallized this research is building a smart control algorithm which increases the flexibility of generating precise control signals based on contracted hand movements with high simplicity of use and the low cost.
The obtained results are compared to other systems results to show the ability of achieving 93.81% classification rate or accuracy among other systems.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abd al-Abbas, Ahmad Majid& Karuk, Muayyad Sadiq. 2019. Efficient control system based on hand nerve signals. Iraqi Journal of Computer, Communications and Control Engineering،Vol. 19, no. 3, pp.27-39.
https://search.emarefa.net/detail/BIM-888530
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abd al-Abbas, Ahmad Majid& Karuk, Muayyad Sadiq. Efficient control system based on hand nerve signals. Iraqi Journal of Computer, Communications and Control Engineering Vol. 19, no. 3 (Jul. 2019), pp.27-39.
https://search.emarefa.net/detail/BIM-888530
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abd al-Abbas, Ahmad Majid& Karuk, Muayyad Sadiq. Efficient control system based on hand nerve signals. Iraqi Journal of Computer, Communications and Control Engineering. 2019. Vol. 19, no. 3, pp.27-39.
https://search.emarefa.net/detail/BIM-888530
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 38-39
رقم السجل
BIM-888530
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