The theme of Master project of Electronics engineer is actual for human-computer interaction (HCI). Hand gestures provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). In particular, visual interpretation of hand gestures can help in achieving the ease and naturalness desired for HCI.

Working with computers has become an integral feature of our society. The keyboard and mouse are currently the main interfaces between man and computer. In other areas where 3D information is required, such as computer games, robotics and design, other mechanical devices such as roller-balls, joysticks and data-gloves are used. Humans communicate mainly by vision and sound, therefore, a man-machine interface would be more intuitive if it made greater use of vision and audio recognition. Another advantage is that the user not only can communicate from a distance, but need have no physical contact with the computer. However, unlike audio commands, a visual system would be preferable in noisy environments or in situations where sound would cause a disturbance. The visual system chosen was the recognition of hand gestures. There are many explorations of objects recognition in images and in video stream. Yearly improvements of computer technology lets researchers model and build more and more complex systems of recognition but it still remains a lot of unsolved problems and it is hard to decide witch system is the best. Our aim is to create a program for hand gesture recognition based on pattern recognition algorithms and Eigen vectors.

Raktažodžiai: gestai, gestures