Abstract:

This presentation will be a literature review about bionic hand control based on surface electromyography sEMG sensors to predict hand movements. As pattern recognition(PR) is the most control method applied in the literature to detect user intentions for hand movements, hence more focus will on pattern recognition where the available hardware and software tools will be discussed besides their challenges. To propose bionic hand prototype in future work that will be based on open-source tools such as 3D printed model designed by Inmoov and BioPatRec platform developed through Matlab.

Speaker Bio :

Mr. Ali ALRamadhan received his degree of Bachelor of Science in Electrical and Electronic Engineering at Cardiff University, UK, in 2012. He then pursued his Master of Engineering Science in Electrical Engineering at the University of New South Wales, Australia, and graduated in 2018. He is currently pursuing his Ph.D. in Systems and Control Engineering as a Part-Time Student in the Control and Instrumentation Engineering Department at King Fahd University of Petroleum and Minerals, Saudi Arabia, and working as an Electrical Engineer at Saudi Aramco. Moreover, Mr. ALRamadhan worked as an Instrument and Control Engineering at Saudi Aramco from 2012 until 2019.