Tuncer, EsraOlcay, Bilal OrkanUnlu, Mehmet Zubeyir03.05. Department of Electrical and Electronics Engineering01.01. Units Affiliated to the Rectorate01. Izmir Institute of Technology03. Faculty of Engineering2017-11-012017-11-012017Tunçer, E., Olcay, B. O., and Ünlü, M. Z. (2017, May 15-18). Deneysel mod ayrıştırması uygulanmış yazma hareket bilgisi kullanılarak el yazısı karakter tanıma. Paper presented at the 25th Signal Processing and Communications Applications Conference. doi:10.1109/SIU.2017.796052797815090649462165-0608http://doi.org/10.1109/SIU.2017.7960527In this paper, handwritten character recognition by using characters' writing movements is investigated. To obtain the information about writing movements a 3-axis accelerometer is used. Just like most of other sensors, 3-axis accelerometers give the actual movement signal as well as noise. Before the recognition step, all of the signals need to be preprocessed and the noisy parts need to be removed. So, Empirical Mode Decomposition (EMD) and normalization preprocessing steps are applied to the signals. Finally, the signals in the dataset are compared with Dynamic Time Warping for classification and accurate classification rate of 91.92% is obtained.trinfo:eu-repo/semantics/closedAccess3-Axis AccelerometerEmprical Mode DecompositionDynamic Time WarpingHandwritten Character RecognitionConference Object2-s2.0-8502631912310.1109/SIU.2017.796052710.1109/SIU.2017.7960527