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From creating virtual gestures to "writing" in sign languages
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Source Conference on Human Factors in Computing Systems archive
CHI '05 extended abstracts on Human factors in computing systems table of contents
Portland, OR, USA
SESSION: Late breaking results: short papers table of contents
Pages: 1885 - 1888  
Year of Publication: 2005
ISBN:1-59593-002-7
Authors
Beifang Yi  University of Nevada, Reno, NV
Frederick C. Harris, Jr.  University of Nevada, Reno, NV
Sergiu M. Dascalu  University of Nevada, Reno, NV
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 7,   Downloads (12 Months): 37,   Citation Count: 3
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ABSTRACT

Sign languages have been proven to be natural languages, as capable of expressing human thoughts and emotions as traditional languages are. The distinct visual and spatial nature of sign languages seems to be an insurmountable barrier for developing a sign language "word processor". However, we argue that with the advancement of computer graphics technology and graphical implementations of linguistic results obtained from the study of sign languages, "writing" in a sign language should not be difficult. We have pursued exploratory work in constructing virtual gestures, applying hand constraints to facilitate the creation of natural gestures, and combining these gestures into meaningful American Sign Language (ASL) parts that follow the ASL Movement-Hold model. The results, although preliminary, are encouraging. We believe that space effective sign language composition is possible space with the implementation of easy-to-use graphical user interfaces and the development of specialized data management methods.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
UPenn HMS Center. http://hms.upenn.edu/.
 
2
DePaul ASL Synthesizer. http://asl.cs.depaul.edu/.
 
3
Matthew P. Huenerfauth. A Survey and Critique of American Sign Language Natural Language Generation and Machine Translation Systems. Technical report, Computer and Information Sciences, University of Pennsylvania, September 2003.
 
4
Scott K. Liddell. Grammar, Gesture, and Meaning in American Sign Language. Cambridge University Press, 2003.
 
5
Scott K. Liddell and Robert E. Johnson. American sign language: The phonological base. Sign Language Studies, Fall(64):195--227, 1989.
 
6
David McNeill. Hand and Mind: What Gestures Reveal About Thought. The University of Chicago Press, Chicago, 1992.
 
7
David McNeill, editor. Language and Gesture. Cambridge University Press, 2000.
 
8
American Academy of Orthopaedic Surgeons. Joint Motion: Method of Measuring and Recording. Churchill Livingstone, New York, 1988.
 
9
 
10
IKAN: Inverse Kinematics using ANalytical Methods. http://hms.upenn.edu/software/ik/.
 
11
Clayton Valli and Ceil Lucas. Linguistics of American Sign Language: An Introduction. Gallaudet University Press, 3rd edition, 2000.
 
12
Vcom3D. http://vcom3d.com/.
 
13
VRlab. http://vrlab.epfl.ch/.


Collaborative Colleagues:
Beifang Yi: colleagues
Frederick C. Harris, Jr.: colleagues
Sergiu M. Dascalu: colleagues