Nabeel Fasal/PET Engineering College
ABSTRACT:
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.
INTRODUCTION:
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.
METHOD:
1. Color Tracking Systems: Queck build a system called “FingerMouse”, which allows control of the mouse pointer
References: : [Bérard 99] Bérard, F., Vision par ordinateur pour l’interaction homme-machine fortement couplée, Doctoral Thesis, Université Joseph Fourier, Grenoble, 1999. [Card 83] Card, S., Moran, T. and Newell, A., The Psychology of Human- Computer Interaction, Lawrence Erlbaum Associates, 1983. [Castleman 79] Castleman, K., Digital Image Processing, Prentice-Hall Signal Processing Series, 1979.