Engr. Seigfred V. Prado of the Electronics Engineering Department of the Faculty of Engineering presented his paper titled “Surface Electromyography Signal-Based Hand Movement Recognition for Human-Machine Interfaces” in the 2nd International Conference on Communication, Information Technology and Robotics (ICCITR) held on June 2 to 4, 2016 at Crowne Plaza Dubai Deira 5 * Hotel, Dubai, United Arab Emirates.
Prado’s paper focused on how to improve the quality of life of aged people and the ones with physical disabilities by developing better human-machine interfaces that can be employed in various machines, robots, computers and other assistive or prosthetic devices. In his paper, surface electromyography can be used to classify hand movements in developing such machines. Surface electromyography is a non-invasive technique used to detect and measure electrical signals generated by the contraction and relaxation of the muscles.
Prado was selected as the session chair in one of the parallel sessions of paper presentation during the conference. Other presenters in the session include Zuhoor Al-Khanjari of Sultan Qaboos University, Oman and Mohamed Amine Harabi of Time University, Tunisia.
The focus of the ICCITR 2016 is to promote improved eco-friendly systems in information and communication technologies. Bio-inspired signal processing, smart grids, and mobile cloud computing are few of the new trends that will provide new perspective and solutions in the near future. The conference, organized by ISET University, Tunisia, brought together international academics and experts in the fields of robotics, automation and communication engineering.