Hospitals need several measurement systems that
can measure physiological parameters of the patients. The
increased performance of personal computers and their
reduced cost has made it possible for development of PC based
measurement systems. This paper describes an eye-control
method based on Electrooculography (EOG) to develop a
virtual instrument for acquiring and processing
Electrooculogram signal which can be used to detect eye
movement for disabled people. Also there is too much
dependency on hardware devices like keyboard and mouse to
operate a computer. An alternative way to access various
computer applications without the keyboard and mouse is
Hand gesture recognition system which is a feasible solution to
interface with the computer to control. This system helps the
dumb and deaf people to input their data using hand gestures
and serves as communication aid. It aims to identify the hand
gestures by an individual, map them on to alphabets and then
map them in voice using LabVIEW. Hence this work aims at
designing a virtual instrumentation system which can be used
to detect eye movement of a person in an unconscious state and
also provide communication aid for deaf and dumb.
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