Avatar-independent scripting for real-time gesture animation
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Abstract (arXiv)
When animation of a humanoid figure is to be generated at run-time, instead of by replaying pre-composed motion clips, some method is required of specifying the avatar's movements in a form from which the required motion data can be automatically generated. This form must be of a more abstract nature than raw motion data: ideally, it should be independent of the particular avatar's proportions, and both writable by hand and suitable for automatic generation from higher-level descriptions of the required actions. We describe here the development and implementation of such a scripting language for the particular area of sign languages of the deaf, called SiGML (Signing Gesture Markup Language), based on the existing HamNoSys notation for sign languages. We conclude by suggesting how this work may be extended to more general animation for interactive virtual reality applications.
Key facts. Cited by 4 papers in the map (data through 13 Oct 2026). First posted on arXiv 10 Feb 2015.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 1.
4 papers.
- 2021Sign Language Production: A Reviewcited by 26
- 2022All You Need In Sign Language Productioncited by 8
- 2024Sign Stitching: A Novel Approach to Sign Language Productioncited by 8
- 2022Neural Sign Reenactor: Deep Photorealistic Sign Language Retargetingcited by 2
- 2024Sign Stitching: A Novel Approach to Sign Language Production13 May 2024
- 2022Neural Sign Reenactor: Deep Photorealistic Sign Language Retargeting3 Sep 2022
- 2022All You Need In Sign Language Production5 Jan 2022
- 2021Sign Language Production: A Review29 Mar 2021