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Journal of Sensors
Volume 2016 (2016), Article ID 3692876, 10 pages
http://dx.doi.org/10.1155/2016/3692876
Research Article

Handwriting Recognition in Free Space Using WIMU-Based Hand Motion Analysis

Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang University, No. 221 Heukseok-Dong, Dongjak-Gu, Seoul 156-756, Republic of Korea

Received 31 December 2015; Revised 18 May 2016; Accepted 5 June 2016

Academic Editor: Stefania Campopiano

Copyright © 2016 Shashidhar Patil et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We present a wireless-inertial-measurement-unit- (WIMU-) based hand motion analysis technique for handwriting recognition in three-dimensional (3D) space. The proposed handwriting recognition system is not bounded by any limitations or constraints; users have the freedom and flexibility to write characters in free space. It uses hand motion analysis to segment hand motion data from a WIMU device that incorporates magnetic, angular rate, and gravity sensors (MARG) and a sensor fusion algorithm to automatically distinguish segments that represent handwriting from nonhandwriting data in continuous hand motion data. Dynamic time warping (DTW) recognition algorithm is used to recognize handwriting in real-time. We demonstrate that a user can freely write in air using an intuitive WIMU as an input and hand motion analysis device to recognize the handwriting in 3D space. The experimental results for recognizing handwriting in free space show that the proposed method is effective and efficient for other natural interaction techniques, such as in computer games and real-time hand gesture recognition applications.