Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2002.07c
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- Pages.1662-1665
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- 2002
SEMANTIC FEATURE DETECTION FOR REAL-TIME IMAGE TRANSMISSION OF SIGN LANGUAGE AND FINGER SPELLING
- Hou, Jin (Media Lab, Department of Electronics and Information, Graduate School of Engineering, Hokkaido University) ;
- Aoki, Yoshinao (Media Lab, Department of Electronics and Information, Graduate School of Engineering, Hokkaido University)
- Published : 2002.07.01
Abstract
This paper proposes a novel semantic feature detection (SFD) method for real-time image transmission of sign language and finger spelling. We extract semantic information as an interlingua from input text by natural language processing, and then transmit the semantic feature detection, which actually is a parameterized action representation, to the 3-D articulated humanoid models prepared in each client in remote locations. Once the SFD is received, the virtual human will be animated by the synthesized SFD. The experimental results based on Japanese sign langauge and Chinese sign langauge demonstrate that this algorithm is effective in real-time image delivery of sign language and finger spelling.
Keywords