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method can be successfully used for computer
interaction and for controlling robots. The system is
fast and accurate when compared to other attempts
for machine based hand movement gesture
recognition. In the current form, the limitation of the
method is its suitability to short duration hand
movements only. The next step is to test the
accuracy on large database, long duration
movements and the sensitivity analysis of the
method. Future work also investigates the effect of
noise on the classification accuracy.
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