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Titlebook: Gesture-Based Human-Computer Interaction and Simulation; 7th International Ge Miguel Sales Dias,Sylvie Gibet,Rafael Bastos Conference proce

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发表于 2025-3-21 16:48:26 | 显示全部楼层 |阅读模式
书目名称Gesture-Based Human-Computer Interaction and Simulation
副标题7th International Ge
编辑Miguel Sales Dias,Sylvie Gibet,Rafael Bastos
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Gesture-Based Human-Computer Interaction and Simulation; 7th International Ge Miguel Sales Dias,Sylvie Gibet,Rafael Bastos Conference proce
描述This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Gesture-Based Human-Computer Interaction and Simulation, GW 2007, held in Lisbon, Portugal, in May 2007. The 31 revised papers presented were carefully selected from 53 submissions. The papers are organized in topical sections on analysis and synthesis of gesture; theoretical aspects of gestural communication and interaction; vision-based gesture recognition; sign language processing; gesturing with tangible interfaces and in virtual and augmented reality; gesture for music and performing arts; gesture for therapy and rehabilitation; and gesture in Mobile computing and usability studies.
出版日期Conference proceedings 2009
关键词HCI; Usability; body tracking; computational intelligence; conversational agents; gestural imagery; gestur
版次1
doihttps://doi.org/10.1007/978-3-540-92865-2
isbn_softcover978-3-540-92864-5
isbn_ebook978-3-540-92865-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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Approximation of Curvature and Velocity for Gesture Segmentation and Synthesisjectories. The motivation of such a model is on the one hand the reduction of the gesture data, and on the other hand the possibility to segment gestures into meaningful units, yielding to an analysis tool for gesture coding and synthesis. We show that the measures of the inverse of the distance bet
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Motion Primitives and Probabilistic Edit Distance for Action Recognitionwed based on trajectories through some state space. In this paper we also model an action as a trajectory through a state space, but we represent the actions as a sequence of temporal isolated instances, denoted primitives. These primitives are each defined by four features extracted from motion ima
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On the Parametrization of Clappinglike a change of tempo, is necessary. In this paper we investigate the relation between movement tempo, its synchronization to verbal counting, time distribution, amplitude, and left-right symmetry of a clapping movement. We analyze motion capture data of two subjects performing a clapping exercise,
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A Method for Selection of Optimal Hand Gesture Vocabulariesactors. Previous works dealt only with selection of hand gestures vocabularies using rule based or ad-hoc methods. The analytical formulation in our research is a demonstration of the future need defined by previous research. A meta-heuristic approach is taken by decomposing the problem into two sub
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Skin Color Profile Capture for Scale and Rotation Invariant Hand Gesture Recognition hand skin color segmentation map. This segmentation map, a vector entity referred to as a “skin profile”, is used during an online hand gesture calibration stage to enable correct classification of skin regions. Subsequently, we construct efficient and reliable scale and rotation invariant hand pos
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Robust Tracking for Processing of Videos of Communication’s Gestures the hands and face of a person performing gestural communication and the Signs’ language communication. A model of skin is used to compute the observation density as a skin colour distribution in the image. Three particle filter trackers are implemented, with re-sampling and annealed update steps t
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Representation of Human Postures for Vision-Based Gesture Recognition in Real-TimeInterfaces. In this paper, we present a Vision-Based Interface guided by the user gestures. Previously to recognition, the user’s movements are obtained through a real-time vision-based motion capture system. This motion capture system is capable to estimate the user 3D body joints position in real-
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