For a long time
research on human-computer interaction (HCI) has been restricted to techniques
based on the use of monitor, keyboard and mouse. Recently this paradigm has
changed. Techniques such as vision, sound, speech recognition, projective
displays and location aware devices allow for a much richer, multi-modal
interaction between man and machine. Finger-tracking is usage of
bare hand to operate a computer in order to make human-computer
interaction much more faster and easier. Fingertip finding deals with extraction
of information from
hand features and
positions. In this method we
use the position
and direction of
the fingers in
order to get
the required segmented
region of interest.
Finger
pointing systems aim to
replace pointing and
clicking devices like the
mouse with the
bare hand. These applications
require a robust localization
of the fingertip
plus the recognition
of a limited number of
hand postures for
“clicking-commands”. Finger-tracking systems are considered
as specialized type
of hand posture/gesture recognition
system.
The typical
Specializations are:
1) Only the most simple
hand postures and
recognized.
2) The hand
usually covers a
part of the
on screen.
3) The finger positions are being found in
real-time.
4) Ideally, the system works with all kinds of
backgrounds.
5) The
system does not
restrict the speed
of hand movements.
In finger –tracking systems
except that the
real-time constraints currently
do not allow
sophisticated approaches such
as 3D-model matching
or Gabor wavelets.
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