Abstract
In this paper, we suggest and describe an approach to the design of extended CSCW architecture, based on the embedded KSL (Korean Sign Language) recognizer. Our approach is important for deaf person’s decision-making and Human-Computer Interaction (HCI) in the CSCW domain. Accordingly, we implement the WPS (Wearable Personal Station)-based embedded KSL (Korean Sign Language) recognizer, that can support clear communication between the hearing-impaired and hearing persons, and then describe and estimate the applicability with 3 items (interaction, visualization and coordination), as basic functional criteria and requirements for a CSCW system. The suggested CSCW architecture provides a wider range of personalized and differentiated information more effectively in brainstorming sessions, and the user need not be constrained by the limitations of a particular interaction mode at any given moment because of the WPS can guarantee the mobility of the embedded KSL recognizer.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Grudin, J.: Computer-supported cooperative work: Its history and participation. IEEE Computer 27(5), 19–26 (1994)
Bannon, L., Schmidt, K.: CSCW - four characters in search of a context. In: Bowers, J.M., Benford, S. (eds.) Studies in Computer Supported Cooperative Work - Theory, Practice and Design, North-Holland, Amsterdam (1991)
Dillenbourg, P., et al.: The Evolution of Research on Collaborative Learning. In: Reimann, P., Spada, H. (eds.) Learning in Humans and Machines - Towards an Interdisciplinary Learning Science, Pergamon, Oxford (1995)
I.MX21 Processor Data-sheet. http://www.freescale.com/
Use of Signs in Hearing Communities. http://en.wikipedia.org/wiki/Sign_language
Kim, S.-G.: Korean Standard Sign Language Tutor, 1st edn. Osung Publishing Company, Seoul (2000)
Su, Y., et al.: Three-Dimensional Motion System (“Data-Gloves”): Application for Parkinson’s Disease and Essential Tremor. In: Proceedings of IEEE International Conference on Virtual and Intelligent Measurement Systems, pp. 28–33 (2001)
Kim, J.-H., et al.: Hand Gesture Recognition System using Fuzzy Algorithm and RDBMS for Post PC. In: Wang, L., Jin, Y. (eds.) FSKD 2005. LNCS (LNAI), vol. 3614, pp. 170–175. Springer, Heidelberg (2005)
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley, New York (2001)
Paulus, D., Hornegger, J.: Applied Pattern Recognition, 2nd edn. Vieweg, Wiesbaden (1998)
Schuermann, J.: Pattern Classification. Wiley & Sons, Chichester (1996)
Relational DataBase Management System. http://www.auditmypc.com/acronym/RDBMS.asp
Oracle 10g DW Guide. http://www.oracle.com
Chen, C.H.: Fuzzy Logic and Neural Network Handbook, 1st edn. McGraw-Hill, New York (1992)
Vasantha-kandasamy, W.B.: Smaranda Fuzzy Algebra. American Research Press, Seattle (2003)
Reinhard, W., Schweitzer, J., Volksen, G.: CSCW Tools: Concepts and Architectures. IEEE Computer 27(5), 28–36 (1994)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, JH., Hong, KS. (2007). Approach to Extended CSCW Design Based on Embedded Korean Sign Language Recognizer. In: Shen, W., Luo, J., Lin, Z., Barthès, JP.A., Hao, Q. (eds) Computer Supported Cooperative Work in Design III. CSCWD 2006. Lecture Notes in Computer Science, vol 4402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72863-4_30
Download citation
DOI: https://doi.org/10.1007/978-3-540-72863-4_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72862-7
Online ISBN: 978-3-540-72863-4
eBook Packages: Computer ScienceComputer Science (R0)