Abstract
3D space handwriting is a gesture-like character written in the air, and it is a promising input method for its portability. In this work, we propose a practical development of 3D space handwriting recognition system by combining 2D handwriting and the ligature of 3D handwriting based on that the most different part between these handwritings is the shape of ligature. We designed a ligature model not to depend on each character shape but to depend only on incoming and outgoing vectors. Therefore with a few ligature models, various ligature shapes are modeled. By using 2D space handwriting models and data, we can use existing models for various writing styles, and overcome the problem of the lack of data.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Lee, H.-K., Kim, J.H.: An HMM-Based Threshold Model Approach for Gesture Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 21(10) (October 1999)
Reynaerts, D., Van Brussel, H.: Design of an Advanced Computer Writing Tool. In: Proc. of the 6th Int. Symposium on Micro Machine and Human Science, pp. 229–234 (1995)
Bang, W.-C., Chang, W., Kang, K.-H., Choi, E.-S., Potanin, A., Kim, D.-Y.: Self-contained Spatial Input Device for Wearable Computers. In: Proc. of the 7th IEEE Int. Symposium on Wearable Computers, pp. 26–34 (2003)
Jong, K.O., Cho, S.-j., Bang, W.-C., Chang, W., Choi, E., Yang, J., Cho, J., Kim, D.Y.: Inertial Sensor Based Recognition of 3-D Character Gesture with an Ensemble of Classifiers. In: Proceedings of the 9th international Workshop on Frontiers in Handwriting Recognition (2004)
Cho, S.-j., Jong, K.O., Bang, W.-C., Chang, W., Choi, E., Jing, Y., Cho, J., Kim, D.Y.: Magic Wand: A Hand-Drawn Gesture Input Device in 3-D Space with Inertial Sensors. In: Proceedings of the 9th International Workshop on Frontiers in Handwriting Recognition (IWFHR-9) (2004)
LG-SV360 / LG-KV3600 (2005), http://www.cyon.co.kr
SCH-S310 (2005), http://www.sec.co.kr
3D Smart Input Device (2005), http://www.minfinity.co.kr
Cho, S.-J., Kim, J.H.: Bayesian Network Modeling of Strokes and Their Relationships for On-line Handwriting Recognition. Pattern Recognition 37(2), 253–264 (2004)
Murphy, K.P.: Inference and Learning in Hybrid Bayesian Networks, Report No. UCB/CSD-98-990 (1998)
Sin, B.-K., Kim, J.H.: Ligature Modeling for Online Cursive Script Recognition. IEEE Transactions on Pattern Analysis And Machine Intelligence 19(6), 623–633 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, D.H., Choi, H.I., Kim, J.H. (2006). 3D Space Handwriting Recognition with Ligature Model. In: Youn, H.Y., Kim, M., Morikawa, H. (eds) Ubiquitous Computing Systems. UCS 2006. Lecture Notes in Computer Science, vol 4239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11890348_4
Download citation
DOI: https://doi.org/10.1007/11890348_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46287-3
Online ISBN: 978-3-540-46289-7
eBook Packages: Computer ScienceComputer Science (R0)