Open AccessA Comparison Study for Intelligent Wheelchair Based on MEMS Sensors
Author(s) -
Duaa Al_Dosary,
Khattab M. Ali Alheeti,
Salah Sleibi Al-Rawi
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/928/3/032075
Subject(s) - identification (biology) , computer science , wheelchair , authentication (law) , node (physics) , embedded system , microelectromechanical systems , engineering , computer security , botany , physics , structural engineering , quantum mechanics , world wide web , biology
Today, the security of the system must be improved. A new approach is proposed that achievements the Integrated Circuit Metrics (ICMetric) technology to support identification of devices. ICMetric is a novel technology that generates the identification of devices based on the internal behavior of device features. In this paper, a comparative study is presented between two of our systems. These protection systems are designed to provide protection systems for intelligent wheelchairs. However, we proved that node identification can be provided by utilizing the three types of MEMS sensors. Extracted readings are acquired from the sensors and analyzed mathematically and statistically to provide an ICMetric basis that used to introduce identification of the device. Simulation results show that the proposed system can increase authentication and security.