One traditional view of how speech and gesture interact in talk is that gestures represent information, which is largely redundant with respect to the information contained in the speech that they accompany. Other researchers, however, have primarily stressed a complementary interaction of gesture and speech, and yet others have emphasised that gesture and speech interact in a very flexible man...

Real-Time Hand Gesture Recognition using Motion Tracking

DECLARATION I, the undersigned, declare that this work has not previously been submitted as an exercise for a degree at this or any other University, and that, unless otherwise stated, it is entirely my own work.

This paper gives an improved gesture recognition algorithm. First, obtain the complete hand-type region of the image, using the image preprocess algorithm such as YUV color segmentation, image differencing, connected domain detection. Then process images through contour detection, have the feature extraction and compression by LBP transform and principal component analysis. Finally, use support...

A novel method proposes for human machine communication using ARM Cortex A-8 processor. Gesture is a form of non-verbal communication in which visible bodily actions communicate particular messages. A novel method proposes for human-machine communication via gesture. The real time system employs a USB web camera, Beagle board XM and HDMI Monitor. Web cam for capturing sequence of image to handl...

In this paper, we propose a novel markovian hybrid system CRF/HMM for gesture recognition, and a novel motion description method called gesture signature for gesture characterisation. The gesture signature is computed using the optical flows in order to describe the location, velocity and orientation of the gesture global motion. We elaborated the proposed hybrid CRF/HMM model by combining the ...

This paper proposes an approach to 2D gesture recognition that models each gesture as a Finite State Machine (FSM) in spatial-temporal space. The model construction works in a semi-automatic way. The structure of the model is first manually decided based on the observation of the spatial topology of the data. The model is refined iteratively between two stages: data segmentation and model train...

Existing gesture recognition tools and frameworks tend to focus on specific settings, gesture sets or algorithms. Further, they are often designed to support the developers of either applications or algorithms, but not both. Our goal was to develop a general and extensible framework that provides an integrated platform for the design and evaluation of algorithms, as well as for their deployment...

Dynamic Time Warping (DTW) is commonly used in gesture recognition tasks in order to tackle the temporal length variability of gestures. In the DTW framework, a set of gesture patterns are compared one by one to a maybe infinite test sequence, and a query gesture category is recognized if a warping cost inferior to a given value is found within the test sequence. Nevertheless, either taking one...

Gestures with the evolution of user interaction interfaces have been offered as a means of natural interaction, for possessing characteristics like that of direct interaction, their flexibility, their reality of experience and their huge acceptability by the users. The Gesture Recognition systems proposed and implemented till date though have the ability to be a highly flexible means of interac...