Hand Gesture recognition systems enable people to interact with digital systems naturally. Due to the spread of body motion capture device, depth information is available for getting more delicate and effective gesture recognition results. However, due to the limitation of devices such as Microsoft Kinect, it is still very difficult to obtain hand gesture information in rela-time. This paper pr...

In the present scenario, vision based hand gesture recognition has become a highly emerging research area for the purpose of human computer interaction. Such recognition systems are deployed to serve as a replacement for the commonly used human-machine interactive devices such as keyboard, mouse, joystick etc. in real world situations. The major challenges faced by a vision based hand gesture r...

In this work, a novel gesture recognition system is presented that allows the control of the SmartWalker by performing simple gestures. The SmartWalker is a normal walker equipped with sensors and actuators that can move autonomously. It is constructed as a walking aid for elderly people. Therefore our gesture recognition system is developed for the same target group which means that gestures w...

The learning method for hand gesture recognition that compute a space of eigenvectors by Principal Component Analysis(PCA) traditionally require a batch computation step, in which the only way to update the subspace is to rebuild the subspace by the scratch when it comes to new samples. In this paper, we introduce a new approach to gesture recognition based on online PCA algorithm with adaptive...