अमूर्त

An Investigation on Gesture Analysis and Geometric Features Extraction

Noor Adnan Ibraheem, Mokhtar Mohammed Hasan, RafiqulZaman Khan

Using the gesture for natural human computer interaction became one of the important issues in recent few decades, to encompass human life appliance. Sign languages usually used among people to explain specific meaning or deliver a meaningful message, for this reason gestures motivate to simulate the natural interaction between humans but in this time between human and computers by modeling, analysing the gesture, and finally recognize it. This paper present a study of hand gesture recognition systems by investigating different algorithms, and tools used for adopting hand gesture recognition system in various system stages starting from image pre-processing to segment that hand and methods applied to capture hand shape to extract necessary feature, and terminating with suitable recognition algorithm in this work gestures modeling, analysis and recognition are demonstrated in detail with challenges that obstacle the performance of recognition system. Comparisons of different gesture recognition factors are shown as well.