Title :
Mobile shopping cart application using kinect
Author :
Shengnan Gai ; Eui-Jung Jung ; Byung-Ju Yi
Author_Institution :
Dept. of Electron. Syst. Eng., Hanyang Univ., Ansan, South Korea
fDate :
Oct. 30 2013-Nov. 2 2013
Abstract :
This paper presents a novel application of a perception sensor Kinect to a mobile shopping cart (MSC). We attempt to exercise daily-used instructions as commands by using skeleton tracking of the Kinect sensor. A pair of differential-driven wheels together with dynamical system is mounted on the chassis of the shopping cart, which reshapes the shopping cart as a mobile robot. The commercialized Kinect sensor is employed to detect the gestures of the human body. The mobile shopping cart equipped with Kinect could execute different gesture command, for example, go ahead, draw back, set stop and so on. The response time is within 0.5 second. To do the right reflexes, we define a set of trajectory determined by the gesture of the target customer. The experiment result shows the validity of proposed method.
Keywords :
gesture recognition; mobile robots; optical sensors; commercialized Kinect sensor; daily-used instructions; differential-driven wheels; dynamical system; gesture command; mobile robot; mobile shopping cart application; perception sensor; skeleton tracking; Gesture Command; Kinect; Mobile Shopping Cart; Skeleton Tracking;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
Conference_Location :
Jeju
Print_ISBN :
978-1-4799-1195-0
DOI :
10.1109/URAI.2013.6677370