This paper proposes the design of a system that enables the severely disabled to communicate using their EOG, EMG and EEG signals. The typical approach is to modify the end devices to interpret these signals and to function accordingly [2-5]. But our system proposes an Interpreter System within which these signals are decoded and interfaced with the existing devices. The advantage is that the end devices need not be changed to suit the user, because the logic required for interpretation is within the Interpreter System. Therefore it acts as an interface through which the user can control multiple devices at the same time. Acquisition systems can capture and process EOG, EMG and EEG signals and transmit them to the Interpreter System via the Bluetooth Low Energy module. A communication language using EOG works in combination with EEG and EMG to enable communication. This language will help the users to interface with multiple devices with a limited number of symbols. © 2011 IEEE.
cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@3d24a66f ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@312ae0c5 Through org.apache.xalan.xsltc.dom.DOMAdapter@760abeba; Conference Code:87058
Dr. Maneesha V. Ramesh, Nair, A. A., and Menon, K. A. U., “WISION-Wireless Interface System for Interpretation of Ocular symbols from People with Neuromuscular Diseases”, in 7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011, Wuhan, 2011.