DocumentCode
1373669
Title
An Inertial-Measurement-Unit-Based Pen With a Trajectory Reconstruction Algorithm and Its Applications
Author
Wang, Jeen-Shing ; Hsu, Yu-Liang ; Liu, Jiun-Nan
Author_Institution
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume
57
Issue
10
fYear
2010
Firstpage
3508
Lastpage
3521
Abstract
This paper presents an inertial-measurement-unit-based pen (IMUPEN) and its associated trajectory reconstruction algorithm for motion trajectory reconstruction and handwritten digit recognition applications. The IMUPEN is composed of a triaxial accelerometer, two gyroscopes, a microcontroller, and an RF wireless transmission module. Users can hold the IMUPEN to write numerals or draw simple symbols at normal speed. During writing or drawing movements, the inertial signals generated for the movements are transmitted to a computer via the wireless module. A trajectory reconstruction algorithm composed of the procedures of data collection, signal preprocessing, and trajectory reconstruction has been developed for reconstructing the trajectories of movements. In order to minimize the cumulative errors caused by the intrinsic noise/drift of sensors, we have developed an orientation error compensation method and a multiaxis dynamic switch. The advantages of the IMUPEN include the following: 1) It is portable and can be used anywhere without any external reference device or writing ambit limitations, and 2) its trajectory reconstruction algorithm can reduce orientation and integral errors effectively and thus can reconstruct the trajectories of movements accurately. Our experimental results on motion trajectory reconstruction and handwritten digit recognition have successfully validated the effectiveness of the IMUPEN and its trajectory reconstruction algorithm.
Keywords
error compensation; handwritten character recognition; human computer interaction; image motion analysis; image reconstruction; image sensors; light pens; IMUPEN; RF wireless transmission module; associated trajectory reconstruction algorithm; data collection; gyroscopes; handwritten digit recognition; inertial-measurement-unit based pen; microcontroller; motion trajectory reconstruction; multiaxis dynamic switch; orientation error compensation method; sensor intrinsic noise-drift; signal preprocessing; triaxial accelerometer; Accelerometers; Application software; Gyroscopes; Handwriting recognition; Microcontrollers; Radio frequency; Reconstruction algorithms; Signal generators; Switches; Writing; Handwritten digit recognition; inertial sensing; multiaxis dynamic (MAD) switch; orientation error compensation; pen-type input devices; trajectory reconstruction algorithm;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/TIE.2009.2038339
Filename
5371807
Link To Document