Trajectory Based Hand Gesture Recognition
نویسنده
چکیده
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 classified based on the number of strokes, the strokes’ angle sequence and, eventually, strokes proportionality. The low computational cost of the algorithm allows implementation on low-cost processing systems. Key-Words: video tracking, CamShift, robust methods, gesture recognition, human machine interface.
منابع مشابه
Human Computer Interaction Using Vision-Based Hand Gesture Recognition
With the rapid emergence of 3D applications and virtual environments in computer systems; the need for a new type of interaction device arises. This is because the traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. In other words, evolution of user interfaces shapes the change in the Human-Computer Interaction (HCI). In...
متن کاملTrajectory Guided Recognition of Hand Gestures having only Global Motions
One very interesting field of research in Pattern Recognition that has gained much attention in recent times is Gesture Recognition. In this paper, we consider a form of dynamic hand gestures that are characterized by total movement of the hand (arm) in space. For these types of gestures, the shape of the hand (palm) during gesturing does not bear any significance. In our work, we propose a mod...
متن کاملFeature Based Weighted Neural Network for Hand Gesture Recognition
Recently, developing interaction techniques that allow gesture recognition for home application and game control is one popular field in Human-ComputerInteraction (HCI) research. In this paper, we proposed a method for hand gesture recognition using artificial neural network algorithm commonly used in HCI. Previous studies have generally used distinguished distribution datasets. However, in the...
متن کاملHuman Computer Interaction Using Vision-Based Hand Gesture Recognition
With the rapid emergence of 3D applications and virtual environments in computer systems; the need for a new type of interaction device arises. This is because the traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. In other words, evolution of user interfaces shapes the change in the Human-Computer Interaction (HCI). In...
متن کاملView-Invariant Hand Gesture Planar Trajectory Recognition on Monocular Vision
On monocular vision, in the process of the hand gesture recognition, when the camera poses are different, the same motion trajectory can project into different trajectory projections, which will affect the recognition and application of the trajectory. To solve this problem, using the square calibration, a plane projection’s standardization model is built and used in a new active vision based v...
متن کامل