Abstract
This paper documents the recognition method of deciphering Japanese sign language(JSL) using projected images. The goal of the movement recognition is to foster communication between hearing impaired and people capable of normal speech. We uses a stereo camera for recording three-dimensional movements, a image processing board for tracking movements, and a personal computer for an image processor charting the recognition of JSL patterns. This system works by formalizing the space area of the signers according to the characteristics of the human body, determining components such as location and movements, and then recognizing sign language patterns.
The system is able to recognize JSL by determining the extent of similarities in the sign field, and does so even when vibrations in hand movements occur and when there are differences in body build. We obtained useful results from recognition experiments in 38 different JSL in two signers.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
K.Senba and T.Kurokawa, Recognition and code of complex hand trajectories in sign language. (in Japanese), 12th symposium on Human Interface, (1996) 101-106
H.Sagawa, M.Ohki, T.Sakiyama, Pattern Recognition and Synthesis for a Sign Language Translation System, Journal of Visual Language and Computing, (1996) 109-127
N.Fujimori and Y.Nagashima, Structured of Electrical Dictionary of Multi-concept Driver(in Jpanese), 11th symposium on Human Interface, (1995) 77-82
T.Starner and A.Pentland. Real-Time American sign languege recognition from video using Hidden Markov Models. In Proc. International Symposium on Computer Vision,(1995) 265-270
T.Takahashi and H.Kishino, A hand gesture recognition method and its application, The Transactions of IEICE, J73-D-2
K.Kanamori, H.Ketera, O.Yumada, H.Motomura, R.Iikawa, and T.Fumoto, Fast Color Processor With Programmable Interpolation By Small Memory(PRISM), Journal of Electric Imaging (1993)
J.Ikeda, T.Tezuka, H.Hirashima, Y.Shimizu, A Method of Color Correction by Color Space Transformation.(In Japanese), ITE’95: Annual Convention.
K.Kanda, Lecture of Sign Language Study.(in Japanese), Fukumura Publisher, (1994) 134
T.Kurokawa, Human Body Representation on Computers. Faculty of Engineering and Design. (1996) 1-8
10. R.Leven, H.Zienert, T.Hanke, J.Henning, HamNoSys Version 2.0, Hamburg Notation System for Sign Languages, SIGNUM PRESS, Hamburg (1989) 8
M. Hirakawa, H. Matsuo, Y. Takata, T. Teshima, Recognition of Hand Shape Using silhouette image(in Japanese), ITE Technical Report Vol.20 No27 (1996) 15–20
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1998 Springer-Verlag
About this paper
Cite this paper
Matsuo, H., Igi, S., Lu, S., Nagashima, Y., Takata, Y., Teshima, T. (1998). The recognition algorithm with non-contact for Japanese sign language using morphological analysis. In: Wachsmuth, I., Fröhlich, M. (eds) Gesture and Sign Language in Human-Computer Interaction. GW 1997. Lecture Notes in Computer Science, vol 1371. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0053006
Download citation
DOI: https://doi.org/10.1007/BFb0053006
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64424-8
Online ISBN: 978-3-540-69782-4
eBook Packages: Springer Book Archive