@inproceedings{a41042fe29804bd78c8fb5504aac9121,
title = "Integrating LCS and SVM for 3D handwriting recognition on handheld devices using accelerometers",
abstract = "Based on accelerometer, we propose a 3D handwriting recognition system in this paper. The system is consists of 4 main parts: (1) data collection: a single tri-axis accelerometer is mounted on a handheld device to collect different handwriting data. A set of key patterns have to be written using the handheld device several times for consequential processing and training. (2) data preprocessing: time series are mapped into eight octant of three-dimensional Euclidean coordinate system. (3) data training: LCS and SVM are combined to perform the classification task. (4) pattern recognition: using the trained SVM model to carry out the prediction task. To evaluate the performance of our handwriting recognition model, we choose the experiment of recognizing a set of English words. The accuracy of classification could be achieved at about 93%.",
keywords = "Accelerometer, Gesture recognition, Handwriting recognition, LCS, SVM",
author = "Hsu, {Wang Hsin} and Chiang, {Yi Yuan} and Lin, {Wen Yen} and Tai, {Wei Chen} and Wu, {Jung Shyr}",
year = "2009",
language = "???core.languages.en_GB???",
isbn = "9789604741465",
series = "Proceedings of the 3rd International Conference on Communications and Information Technology, CIT'09",
pages = "195--197",
booktitle = "Proceedings of the 3rd International Conference on Communications and Information Technology, CIT'09",
note = "3rd International Conference on Communications and Information Technology, CIT'09 ; Conference date: 29-12-2009 Through 31-12-2009",
}