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Titlebook: Gesture and Sign Languages in Human-Computer Interaction; International Gestur Ipke Wachsmuth,Timo Sowa Conference proceedings 2002 Springe

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Overview of Capture Techniques for Studying Sign Language Phonetics they have the potential to mask subtle distinctions in articulation across signers or across sign languages. This paper seeks to describe the advantages and disadvantages of various technologies used in sign articulation research.
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Models with Biological Relevance to Control Anthropomorphic Limbs: A Surveynverse models, Dynamics vs. Kinematics models, Global vs. Local models. We focus on sensory-motor models which have a biologically relevant control scheme for hand-arm reaching movements. Different methods are proposed with various points of view, related to kinematics, dynamics, theory of control, optimization or learning theory.
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From a Typology of Gestures to a Procedure for Gesture Productionre distinguished into codified gestures, ones represented in memory, and creative gestures, ones created on the spot by applying a set of generative rules. On the basis of this typology, a procedure is presented to generate the different types of gestures in a Multimodal Embodied Agent.
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Tailing Storage Management at Mines,the arm during pointing and monocular computer vision. The latter is used to extract the 2D position of the user’s hand and map it into 3D. Off-line tests show promising results with an average errors of 8. when pointing at a screen 2. away.
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,Standsicherheit von Böschungen,MM) are combined in this approach. The improved SRN is introduced for segmentation of continuous CSL. Outputs of SRN are regarded as the states of HMM, and the Lattice Viterbi algorithm is employed to search the best word sequence in the HMM framework. Experimental results show SRN/HMM approach has better performance than the standard HMM one.
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