- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
GUI Simulation for Movement of Human Arm Driven by EMG Signal | ||
| Engineering and Technology Journal | ||
| Article 1, Volume 29, Issue 8, 2011, Pages 1597-1609 PDF (556.43 K) | ||
| DOI: 10.30684/ etj.29.8.14 | ||
| Authors | ||
| Abbas Hussien Miry; Abduladhem A.Ali; Mohammed Zeki Al-Faiz | ||
| Abstract | ||
| This work presents a simulation methodology applied to a human arm. It is aimed to allow the human-assisting manipulators to perform complex movement based on electromyography (EMG) signal for patient person in Virtual Reality (VR). This work achieves better classification with multiple parameters based KNearest Neighbor for different movements of a prosthetic arm. A K- Nearest Neighbor (K-NN) rule is one of the simplest and the most important methods in pattern recognition. The method implements in the 3D space and uses the MATLAB Ver.2009a approach. This methodology can be used with different robots to test the behavior of system and the different motion | ||
| Keywords | ||
| Human Arm; EMG; Pattern Recognition; Virtual Reality | ||
|
Statistics Article View: 218 PDF Download: 119 |
||