DocumentCode :
252417
Title :
Recognition of regulation writing characters by accelerometer in smart phone based on HMM
Author :
Yang Li ; Tobe, Y. ; Murase, K. ; Yunlong Zhao
Author_Institution :
Dept. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
fYear :
2014
fDate :
13-15 Dec. 2014
Firstpage :
808
Lastpage :
813
Abstract :
With the development of mobile devices, real-time recognition and detection by mobile devices are becoming more popular. In this paper, we design a mechanism of recognizing the 26 uppercase characters, space, comma symbol and dot symbol rapidly by tri-accelerometer in smartphone, in order to extend the input method. In this system, a serial of methods has been used to capture the writing tracks according to the motion of the phone. At the same time, the less learning algorithms were used in order to reduce the requirements of performance as far as possible. The experiment results show the recognition accuracy is almost greater than 80.25%.
Keywords :
accelerometers; gesture recognition; hidden Markov models; smart phones; hidden Markov model; recognition accuracy; regulation writing character recognition; smartphone; triaccelerometer; Abstracts; Acceleration; Accelerometers; Accuracy; Character recognition; Gravity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Integration (SII), 2014 IEEE/SICE International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4799-6942-5
Type :
conf
DOI :
10.1109/SII.2014.7028142
Filename :
7028142
Link To Document :
بازگشت