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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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The Recognition of Finger-Spelling for Chinese Sign Languagesed to learn net parameters. In addition, a recognition algorithm for recognizing manual alphabets based on multifeatures and multi-classifiers is proposed to promote the recognition performance of finger-spelling. From experiment result, it is shown that Chinese finger-spelling recognition based on
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發(fā)表于 2025-3-24 00:22:55 | 只看該作者
Overview of Capture Techniques for Studying Sign Language Phoneticstion. Up until now, most descriptions of sign movement have been produced in the context of theoretical phonology. While such descriptions are useful, they have the potential to mask subtle distinctions in articulation across signers or across sign languages. This paper seeks to describe the advanta
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SignSynth: A Sign Language Synthesis Application Using Web3D and Perlnslation from spoken languages, but other applications include dictionaries and language learning. I will discuss the architecture of typical sign synthesis applications and mention some of the applications and prototypes currently available. I will focus on SignSynth, a CGI-based articulatory sign
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發(fā)表于 2025-3-24 17:52:12 | 只看該作者
Synthetic Animation of Deaf Signing Gesturesion system. Lifelike movement is achieved by combining a simple control model of hand movement with inverse kinematic calculations for placement of the arms. The realism can be further enhanced by mixing the synthesized animation with motion capture data for the spine and neck, to add natural “ambie
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發(fā)表于 2025-3-24 21:00:19 | 只看該作者
From a Typology of Gestures to a Procedure for Gesture Productionsented in memory or created anew, how arbitrary or motivated it is, and what type of meaning it conveys. According to the second parameter, gestures are distinguished into codified gestures, ones represented in memory, and creative gestures, ones created on the spot by applying a set of generative r
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