The input device system with hand motion using hand tracking technique of CamShift algorithm
نویسندگان
چکیده
منابع مشابه
Real Time Hand Tracking as a User Input Device
Traditional motion-capture systems have found widespread use in content creation in the entertainment industry. However, their use as real-time user-input devices has been limited by their expense. In this thesis work, we propose an easy-to-use and inexpensive system that facilitates 3-D articulated user-input using the hands, enabling new user-interfaces and applications. Our system optically ...
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Gesture and motion recognition are needed for a variety of applications. The use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. In particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. In this work, we introduce a 3-...
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At present, hand tracking based on particle filter obtains current 3D hand gesture mainly by two elements, that is, by current frame of gesture images and by status information of the previous 3D hand gesture. Compared with current algorithms, the proposed algorithm focuses on behavior analysis and process modeling. Focusing on mathematical linkages establishment between microstructure model an...
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In the study of dynamic gesture recognition, gesture tracking must be performed reliably in real-time for sufficiently long periods when there is too much background interference. To deal with these problems effectively, an improved particle filter algorithm is proposed in order to track the moving hand quickly and accurately. Firstly, the algorithm improves the traditional hand model and prese...
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We collected the hand anthropometric data of 91 respondents to come up with a Filipinobased measurement to determine the suitability of an input device for a digital equipment, the standard PC keyboard. For correlation purposes, we also collected other relevant information like age, height, province of origin, and gender, among others. We computed the percentiles for each finger to classify var...
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ژورنال
عنوان ژورنال: Journal of Digital Contents Society
سال: 2015
ISSN: 1598-2009
DOI: 10.9728/dcs.2015.16.1.157