%0 Journal Article
%T 3D handwriting recognition method based on hidden Markov models<br>基于隐马尔可夫模型的3D手写识别方法
%A WANG Qi-jin
%A QI Xiao-xi
%A CHIANG Yi-yuan
%A HSU Wang-hsin
%A <br>王琦进
%A 齐晓霞
%A 江义渊
%A 徐旺兴
%J 计算机应用研究
%D 2012
%I 
%X In order to achieve efficient and convenient human-computer interaction, improve interaction ability, this paper proposed a new 3D handwriting recognition method based on HMM. In this method, using of the tri-axis accelerometer mounted on a handheld device to collect various handwriting data; using of the interpolation and FFT filtering to preprocess the data; using of the hidden Markov models to train every handwriting movement ; using of the trained HMM to carry out the handwriting recognition. Tested on the handwriting mobile device, the results show that the classification accuracy can reach 84. 5%.
%K handwriting recognition
%K accelerometers
%K HMM（hidden Markov models）
%K FFT（fast Fourier transtorm）<br>手写识别
%K 加速度传感器
%K 隐马尔可夫模型
%K 快速傅里叶变换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=22653CDAF59BBDC1A6D563E4AE5CB012&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=9CF7A0430CBB2DFD&sid=CB2716F752B5E918&eid=E81C492B8FB17C09&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12