Motion-Based Handwriting Recognition for Mobile Interaction

Author

Hannuksela, Jari ; Sangi, Pekka ; Heikkila, Janne

Author_Institution

Dept. of Electr. & Inf. Eng., Oulu Univ.

Volume

4

fYear

0

fDate

0-0 0

Firstpage

397

Lastpage

400

Abstract

This paper presents a new interaction technique for camera-enabled mobile devices. The handheld device can be used for writing just by moving the device. In our method, interframe dominant motion is estimated from images, and the discrete cosine transform is used for computing discriminating features from motion trajectories. The k-nearest neighbor rule is applied for classification. A realtime implementation of the method was developed for a mobile phone. In experiments, recognition rates ranging from 92 % to 98 % were achieved, which testifies to the practicality of our approach

Keywords

discrete cosine transforms; handwriting recognition; image classification; interactive devices; motion estimation; camera-enabled mobile devices; discrete cosine transform; handheld device; interframe dominant motion estimation; k-nearest neighbor rule; mobile interaction; motion trajectories; motion-based handwriting recognition; Cameras; Character recognition; Discrete cosine transforms; Handheld computers; Handwriting recognition; Mobile handsets; Motion estimation; Pattern recognition; Shape; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.817

Filename

1699862