This paper is published in Volume-3, Issue-2, 2017
Area
Applied Electronics
Author
Deepa .D, R. Dharmalingam
Org/Univ
Maharaja Institute Of Technology, Taraboi, Odisha, India
Pub. Date
07 April, 2017
Paper ID
V3I2-1455
Publisher
Keywords
Air-writing, Handwriting Recognition, Usability Study, 6-Dof Motion.

Citationsacebook

IEEE
Deepa .D, R. Dharmalingam. Feature and Processing Of Recognition of Characters, Words & Connecting Motions, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Deepa .D, R. Dharmalingam (2017). Feature and Processing Of Recognition of Characters, Words & Connecting Motions. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARIIT.com.

MLA
Deepa .D, R. Dharmalingam. "Feature and Processing Of Recognition of Characters, Words & Connecting Motions." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2017). www.IJARIIT.com.

Abstract

Recognition & Modeling of characters, words & connecting motions is accomplished based on six-degree-of-freedom hand motion data. We address air-writing on two levels: motion characters and motion words. Isolated air-writing characters can be recognized similar to motion gestures although with increased sophistication and variability. For motion word recognition in which letters are connected and superimposed in the same virtual box in space, we build statistical models for words by concatenating clustered ligature models and individual letter models. A hidden Markov model is used for air-writing modeling and recognition. We show that motion data along dimensions beyond a 2-D trajectory can be beneficially discriminating for air-writing recognition