نتایج جستجو برای: gesture recognition

تعداد نتایج: 256571  

2007
LAWRENCE Y. DENG DONG-LIANG LEE YI-JEN LIU NICK C. TANG

Hand gesture recognition is a new challenge to convey information such as input data or to control devices and applications such as computers, games, PDAs, browsers, cell phones, information appliances and MP3 audio players, etc. Image-based techniques detect a gesture by capturing pictures of a user’s hand signs during the course of a gesture, and to recognize what user would like to do. In th...

2015
Arpana K. Patel Amit H. Rathod

During past few years, human hand gesture for interaction with computing devices has continues to be active area of research. In this paper survey of hand gesture recognition is provided. Hand Gesture Recognition is contained three stages: Pre-processing, Feature Extraction or matching and Classification or recognition. Each stage contains different methods and techniques. In this paper define ...

2004
M. K. Bhuyan D. Ghosh P. K. Bora

The use of human hand as a natural interface for humancomputer interaction (HCI) serves as the motivation for research in hand gesture recognition. Vision-based hand gesture recognition involves visual analysis of hand shape, position and/or movement. Due to co-articulation that occurs during transition from one gesture to the next, problem is encountered in continuous hand gesture recognition....

2014
DHIVYA K

Gesture recognition is to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body. Hand Gestures have greater importance in designing an intelligent and efficient human–computer interface. The applications of gesture recognition are manifold, ranging from sign language through medical rehabilitation to virtual reality. This exploratory survey ...

Journal: :journal of ai and data mining 2014
mohammad mehdi hosseini jalal hassanian

hand gesture recognition is very important to communicate in sign language. in this paper, an effective object tracking and hand gesture recognition method is proposed. this method is combination of two well-known approaches, the mean shift and the motion detection algorithm. the mean shift algorithm can track objects based on the color, then when hand passes the face occlusion happens. several...

2014
Bin Liang Lihong Zheng

This paper proposes a novel approach to multi-modal gesture recognition by using skeletal joints and motion trail model. The approach includes two modules, i.e. spotting and recognition. In the spotting module, a continuous gesture sequence is segmented into individual gesture intervals based on hand joint positions within a sliding window. In the recognition module, three models are combined t...

2011
Shweta. K. Yewale Yikai Fang Jian Cheng

Gesture is one of the most natural and expressive ways of communications between human and computer in a real system. We naturally use various gestures to express our own intentions in everyday life. Hand gesture is one of the important methods of non-verbal communication for human beings. Hand gesture recognition based man-machine interface is being developed vigorously in recent years. This p...

2013
Rafiqul Z. Khan Noor A. Ibraheem

The diverse applications of hand gesture recognition system accepted it great attention especially in the past few years, besides the recognition system ability to interact with machine naturally and efficiently through human computer interaction. Hand gestures recognition system has different applications on different domains including virtual environments, graphic editor systems, sign languag...

Journal: :International Journal of Computer Science and Information Technology 2013

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