Hand gestures play a significant role in Human Computer Interaction. They serve as primary interaction tools for gesture based computer control. The present work is a part of vision based hand gesture recognition system for Human Computer Interaction. We have proposed an algorithm with the fusion of skin color model and background subtraction that yields robust output in the presence of drastic...

With the increase of research activities in vision-based hand posture and gesture recognition, new methods and algorithms are being developed. Although less attention is being paid to developing a standard platform for this purpose. Developing a database of hand gesture images is a necessary first step for standardizing the research on hand gesture recognition. For this purpose, we have develop...

Commanding in robot teleoperation system can be done in several ways, including the use of sign language. In this paper, the use of centroid distance Fourier descriptors as hand shape descriptor in sign language recognition from visually captured hand gesture is considered. The sign language adopts the American Sign Language finger spelling. Only static gestures in the sign language are used. T...

As robots become more integrated into humans' everyday lives, it becomes essential for them to perceive and understand people's intentions and actions. People will want a more natural way to interact with robots, closer to the way humans do it among themselves. When humans communicate, they use a rich set of gestures and body language in addition to speech, which signiicantly enhances their abi...

The recognition of hand gestures from image sequences is an important and challenging problem. This paper presents a robust solution to track and recognize a list of hand gestures from their trajectory. The CamShift algorithm is used for hand tracking and the resulting trajectory is segmented into strokes. The trajectory of recognized gestures consists of at least 2 strokes. The gestures are cl...

Gestures are the very expressive and meaningful body motions. Gesture recognition provides meaningful expressions of motion by a human involving the hands, arms, face, head, and body. Human motion capture is used both when the subject is viewed as a single object and articulated motion with a number of joints. For example, Speech and handwriting, here gestures vary between individuals, and even...

Interacting with physical world using expressive body movements is much easier and effective than just speaking. Gesture recognition turns up to be important field in the recent years. Communication through gestures has been used since early ages not only by physically challenged persons but nowadays for many other applications. As most predominantly hand is use to perform gestures, Hand Gestur...

Dynamic hand gesture recognition is a subject which has been investigated almost from the beginning of using terminals to interact with the computer central unit. We present a method for dynamic hand gesture recognition with image source acquired by a single IR camera. First of all, the hand images are captured by one infrared camera, which are light independent, and not be limited by skin colo...

The natural user interface (NUI) is used for the natural motion interface without using device or tool such as mice, keyboards, pens and markers. In this paper, we develop natural user interface framework based on two recognition module. First module is real-time head pose estimation module using random forests and second module is hand gesture recognition module, named Hand gesture Key Emulati...

Classifications of several gesture types are very helpful in several applications. This paper tries to address fast classifications of hand gestures using DTW over multi-core simple processors. We presented a methodology to distribute templates over multi-cores and then allow parallel execution of the classification. The results were presented to voting algorithm in which the majority vote was ...