By Topic

3D stroke reconstruction and cursive script recognition with magnetometer-aided inertial measurement unit

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Sung-Do Choi ; Dept. of Bio & Brain Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea ; Soo-Young Lee

In this paper, we present a novel stroke reconstruction algorithm for 3D cursive script using an inexpensive accelerometer and magnetometer. By imposing constraints based on ergonomics and habitual motions, the proposed algorithm can accurately estimate the orientation of a handheld device under both static and dynamic conditions. Then, the gravitational force is subtracted from the measured acceleration force for the stroke-induced acceleration, the values of which are integrated twice over time to obtain a position trajectory. The reconstruction performance is evaluated by comparing estimated stroke trajectories from a magnetometer-aided inertial measurement unit (mIMU) with those from an optical motion tracking system for alphanumeric cursive scripts. Furthermore, the recognition rates of the proposed algorithm and other conventional algorithms are compared. The experimental results reveal high accuracy in both stroke reconstruction and recognition rates.

Published in:

Consumer Electronics, IEEE Transactions on  (Volume:58 ,  Issue: 2 )