Design of an Electro-oculogram(EOG) Based Assistive Computer System for the Rehabilitation of Severely Disabled

By Tapan Gandhi.

Published by The Technology Collection

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Article: Print $US10.00
Article: Electronic $US5.00

Smart houses are an important alternative for the independent living of disabled people. Electro-Oculogram (EOG) produces corneo-retinal potential as their most appropriate residual ability can trigger to generate different control signals, which may lead to the control of various assistive devices in smart house. In human objects, EOG normally ranges from 0.05 mV-3.5 mV with maximum frequency up to 32 Hz, is proportional to the eye movement. An Assistive Computer System has been designed which can capture the generated signals from the sensors in real-time and after proper conditioning were interfaced with peripheral devices to control home appliances. The EOG based computer control system comprises five silicon-rubber electrodes and National Instruments(NI) provided single platform of hardware and software. In the system, embedded controller model PXI 8187RT with suitable signal conditioner, A-to-D converter(DAQ card), buffer circuit card, cables and connectors are used as a hardware. A GUI based powerful and dedicated software of NI ‘LabView’ is used to generate complex algorithmic codes, which enable disabled person to execute command to operate various assistive devices like operate home appliances or displaying message on the monitor by moving the curser on the GUI based computer screen. In research stage, an acquired EOG data has been analyzed in terms of PSD (Power spectral density) and changes in the signal amplitudes are used to generate the control signals. At present, a matrix of six control command signals have been found suitable to interface with the said control system, which can then enable to utilize for execution of user’s desired command as displaying the message or operate home appliances. The paper describes the demonstration of acquired data, its analysis and interfacing with the control system. The experiment has been carried out at various hospitals in Delhi on patients who are suffering from neuro-muscular disorder.

Keywords: Smart House, Assistive Devices, Electro-Oculogram (EOG), Neuromuscular Disorder, Data Acquisition (DAQ), Power Spectral Density (PSD), Environmental Control Units (ECUs)

The International Journal of Technology, Knowledge and Society, Volume 2, Issue 8, pp.101-106. Article: Print (Spiral Bound). Article: Electronic (PDF File; 1.368MB).

Mr Tapan Gandhi

Presently I am doing my master of technology dissertation work.During my work, I come across sevaral neuro-muscular disorder peoples who are socially neglected in different domains. That instinct me to design a computer based assistive devices. My self and co-other have already designed the independent and dependent system and we hope in near future we will be able to designed the intelligent system for the disabled people to do their own work independently. Our system is low cost and compatible for the poor disabled people in the developing country like india. I have completed my graduation in Physics and master of science in electronics. Now I am persuing my master of technology in Bioelectronics. My interest lies in the work related signal processing and man-machine interfacing.

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