2006 · 14 citations · 1 references
This paper proposes a method to generate VRML animation sequences from sign language notation using MPEG‑4 face and body animation parameters. The method converts sign writing notation into SWML, maps each signbox to MPEG‑4 body animation parameters, applies inverse kinematics for complex gestures, translates facial expressions into MPEG‑4 facial animation parameters, and uses the resulting sequences to animate H‑anim compliant VRML avatars. The approach enables interactive information systems for people with hearing disabilities and automatic translation of written text into sign language. The 10‑page paper lists keywords such as human‑computer interaction, face recognition, XML, and virtual reality.
DOI: 10.1049/cp:20060637 ISBN: 0 86341 663 2 Location: Athens, Greece Conference date: 5-6 July 2006 Format: PDF This paper presents a novel approach for generating VRML animation sequences from sign language notation, based on MPEG-4 face and body animation. Sign language notation, in the well-known sign writing system, is provided as input and is initially converted to SWML (Sign Writing Markup Language), an XML-based format that has recently been developed for the storage, indexing and processing of sign writing notation. Each basic sign, namely signbox, is then converted to a sequence of body animation parameters (BAPs) of the MPEG-4 standard, corresponding to the represented gesture. Inverse Kinematics are also employed for synthesizing complex animation sequences (e.g. contacts). In addition, if a sign contains facial expressions, these are converted to a sequence of MPEG-4 facial animation parameters (FAPs), while exact synchronization between facial and body movements is guaranteed. These sequences, which can also be coded and/or reproduced by MPEG-4 BAP and FAP players, are then used to animate H-anim compliant VRML avatars, reproducing the exact gestures represented in the sign language notation. Envisaged applications include interactive information systems for the persons with hearing disabilities (Web, E-mail, info-kiosks) and automatic translation of written texts to sign language (e.g. for TV newscasts). (10 pages) Inspec keywords: human computer interaction; face recognition; image sequences; gesture recognition; video coding; XML; handicapped aids; computer animation; avatars Subjects: Computer vision and image processing techniques; Image and video coding; User interfaces; Graphics techniques; Document processing techniques; Computer assistance for persons with handicaps; Video signal processing; Virtual reality
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