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Human computer interaction has a long history to become more intuitive. For human being, gesture of different kind is one of the most intuitive and common communication. However, vision-based hand gesture recognition is a challenging problem, which is involved complex computation, due to high degree of freedom in human hand. In this paper, we use hand gesture captured by web-cam instead of mice, for...
In most of the studies related to human computer interaction like face detection, human detection, face recognition and emotion detection in the color image or videos, skin color was used as a cue or a feature. Because it handles some well defined problems such as pose, orientation and partial occlusion and varying illumination conditions. In spite of advantages of using skin as cue for various human...
Fingertips of human hand play an important role in hand-based interaction with computers. Therefore, identification of fingertips' positions on hand image is vital for developing a human computer interaction system. All most all of the research works for fingertips detection, initially isolate hand image from the background image. Most of these techniques develop color based segmentation methods because...
This paper addresses a novel head posture detection algorithm to recognize human-computer interactions. A pattern training based image segmentation algorithm is used to detect the skin and hair of students. A simple and efficient human presence detection and gaze direction estimation method is then proposed based on the segmentation results. Finally, the proposed algorithm is tested on ten different...
One goal of projector-camera system is let human finger be used like a mouse to click and drag objects in the projected content. It requires segmentation of the human palm and fingers in the image data captured by the camera, which is a challenging task in the presence of the incessant variation of the projected video content and the shadow cast by the palm and fingers. We describe a coarse-to-fine...
Hand posture classification is a key problem for many human computer interaction applications. However, this is not a simple problem. In this paper, we propose to decompose the hand posture classification problem into 2 steps. In the first step, we detect skin regions using a very fast algorithm of color segmentation based on thresholding technique. This segmentation is robust to lighting condition...
Hand gestures are an important modality for human computer interaction (HCI). Compared to many existing interfaces, hand gestures have the advantages of being easy to use, natural, and intuitive. Successful applications of hand gesture recognition include computer games control, human-robot interaction, and sign language recognition, to name a few. Vision-based recognition systems can give computers...
The use of gesture as a natural and intuitional interface serves as a motivating force for research in detection and interpretation of gestures. In particular, vision-based gesture detection is the need of human-computer intelligent interaction, which involves many multidisciplinary studies. A review on recent vision-based gesture detection approaches is given in this paper. Firstly, the characteristics...
This paper describes a command interface for games based on hand gestures defined by postures, movement and location. The large variety of gestures thus possible increases usability by allowing a better match between gesture and action. The system uses computer vision requiring no sensors or markers on the user or background. The analysis of requirements for games, the architecture and implementation...
In this paper, a general-purpose similarity-measure recognition system using associative processor (AP) chips for real time hand gesture recognition is proposed. In order to get hand gesture feature vectors, the system adopts a vision-based hand tracking approach by using hand gesture segmentation algorithm. The system downloads those feature vectors data from large hand gesture feature vectors data...
This paper investigates the ldquoinside-outrdquo recognition of everyday manipulation tasks using a gaze-directed camera, which is a camera that actively directs at the visual attention focus of the person wearing the camera. We present EYEWATCHME, an integrated vision and state estimation system that at the same time tracks the positions and the poses of the acting hands, the pose that the manipulated...
Reliable segmentation and motion tracking algorithms are required to achieve gesture detection and tracking for human-machine interaction. In this paper we present an efficient method for detecting and tracking moving hands in sign language video frames. We make use of the geodesic active region framework in conjunction with new color and motion forces; color information is provided by a skin color...
The development of computer and pervasive computing technology has made a breakthrough in non-material cultural heritage protection. Digital reconstruction of heritage and new HCI (human-computer interaction) medium makes it possible to let the audiences get more close-up experience. In this paper, hand gesture interaction was introduced to simulate the playing methods of chime-bell. In "hand...
This paper researches and implements a virtual and real moving objects interaction system in augmented reality (AR) environment based on artificial immune system. A custom artificial immune algorithm is applied in this paper in order to solve the collision detection problems with virtual and real objects. System mainly realized a fast collision detection algorithm to detect the process of actual moving...
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