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A teaching system of Japanese sign language using sign language recognition and generation
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Source International Multimedia Conference archive
Proceedings of the tenth ACM international conference on Multimedia table of contents
Juan-les-Pins, France
SESSION: Session 5: novel interaction table of contents
Pages: 137 - 145  
Year of Publication: 2002
ISBN:1-58113-620-X
Authors
Hirohiko Sagawa  Hitachi Ltd., Higashi-koigakubo, Kokubunji-shi, Tokyo, JAPAN
Masaru Takeuchi  Hitachi Ltd., Higashi-koigakubo, Kokubunji-shi, Tokyo, JAPAN
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 7,   Downloads (12 Months): 42,   Citation Count: 4
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ABSTRACT

In recent years, the number of sign language learners is increasing in Japan. And there are many teaching materials of sign language such as textbooks, videotapes and software for PCs. However, these teaching materials have several problems that learners cannot study sign language sufficiently because the learners can mainly study manual gestures, cannot change the direction to see signed gestures, and cannot check their signed gestures by themselves. We developed a sign language teaching system applying sign language recognition and sign language generation technologies to solve these problems and realize effective sign language study. Further, we carried out an evaluation experiment by several users and confirmed that the developed system was effective.


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
Japanese-Sign Language Dictionary, Japanese Federation of the Deaf, 1997 {in Japanese}.
 
2
M. L. A. Sternberg: American Sign Language Concise Dictionary, HarperCollins Publishers, 1994.
 
3
Everybody's Sign Language, IBM Japan, Ltd., 1995 {in Japanese}.
 
4
Sign Language Master the Introduction (Light version). LITEC Co., Ltd., 1996 {in Japanese}.
 
5
Sign Language for Everyone. Higher Learning Systems, Inc., http://www.idrt.com/.
 
6
American Sign Language Browser. The Communication Technology Laboratory at Michigan State University, http://commtechlab.msu.edu/sites/aslweb/.
 
7
R. Stine: Animated American Sign Language Dictionary. http://www.bconnex.net/~randys/.
 
8
H. Sagawa, M. Takeuchi and M. Ohki: Methods to Describe and Recognize Sign Language Based on Gesture Components Represented by Symbols and Numerical Values. Knowledge-Based Systems, Vol. 10, No. 5 (March 1998), 287--294.
 
9
 
10
H. Sagawa, A. Koizumi and M. Takeuchi: A Recognition Method of Japanese Sign Language Sentences Based on Head Movements. HCII2001 (August 2001).
 
11
T. Sakiyama, H. Sagawa, E. Oohira, H. Ikeda and M. Ooki: A Generation Method of Sign Language Animation Using Time Sequential Data. Proceedings of the 20th Annual Meeting of Japanese Federation of the Deaf (July 1994), 69--72 {in Japanese}.
 
12
T. Sakiyama, E. Oohira, H. Sagawa, M. Ooki and H. Ikeda: A Generation Method for Real-Time Sign Language Animation. Transactions of IEICE, Vol. J79-D-II, No. 2 (February 1996), 182--190 {in Japanese}.
 
13
SigningAvatarTM Internet Enabled 3D Charaters CD-ROM. Vcom3D, Inc., http://www.signingavatar.com/.
 
14
Y. Tabata, T. Kurokawa, K. Chihara: A Method to Evaluate Finger Characters For Finger Spelling Learning System. Proceedings of the Human Interface Symposium '99 (October 1999), 717--720


Collaborative Colleagues:
Hirohiko Sagawa: colleagues
Masaru Takeuchi: colleagues