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