• 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