Title |
Plaštakos gestų atpažinimo sistemos sukūrimas ir tyrimas / |
Translation of Title |
Development and analysis of hand palm gesture recognition system. |
Authors |
Augustauskas, Rytis |
Full Text |
|
Pages |
49 |
Keywords [eng] |
gestures ; gestures recognition ; hand gestures ; OpenCV ; 3D data |
Abstract [eng] |
Nowadays there is a big interest to apply natural gesture communication language to various robotics systems and virtual reality. In fact, many techniques to detect willed hand motion or to recognize gestures using a variety of sensors already exist. RGB cameras can detect hands and hand motion, but its application becomes limited due to the lighting conditions or due the diversity of skin colors. With data provided by a depth camera, it is possible to distinguish objects in front of a camera with much more robustness. This study presents a technique to detect an active user and their correspondent hand gesture using both RGB and depth data. This method firstly detects the user’s face then maps it to depth map data. Finally, the detection of human arm and the recognizance of hand palm is performed in the region between the camera and the person. |
Dissertation Institution |
Kauno technologijos universitetas. |
Type |
Master thesis |
Language |
Lithuanian |
Publication date |
2017 |