Bare-hand tracking based on the new DAD object tracking method

Realizing practical bare-hand human-computer interaction applications such as one that mimics the functions of the computer mouse interfacing device faces a vast number of problems. Such an application should allow the user to direct the mouse pointer in real-time by moving hisher hand without the need to wear any special gloves, carry any object or push any button. In this research, the problem is treated from a computer vision point of view. Intelligent algorithms such as artificial neural networks together with state-of-the art image and signal processing techniques are utilized to find solutions that encompass accuracy and real-time implementation of computer vision processes such as bare-hand tracking involved in these applications.