A Kinect-based handwritten digit recognition for TV remote controller

Author

Tsai-Te Chu ; Chung-Yen Su

Author_Institution

Dept. of Appl. Electron. Technol., Nat. Taiwan Normal Univ., Taipei, Taiwan

fYear

2012

fDate

4-7 Nov. 2012

Firstpage

414

Lastpage

419

Abstract

Human-machine interaction is a popular research filed recently. Microsoft Kinect can provide us an economical way for tracking the skeleton of the human body. In this study, we present an efficient Kinect-based method for a potential application of TV remote controller. The proposed method consists of two parts: four direction (up/down/left/right) recognition and handwritten digit recognition. The developed recognitions include five main steps: initialization, tracking skeleton, judging the start condition, recording the path, and recognition. We use an intuitive way to start the event and achieve high accurate recognition for the users. We apply the least square method for the four direction recognition and a support vector machine library for the handwritten digit recognition. Experimental results show that the proposed system has great potential on future human-machine development.

Keywords

handwritten character recognition; image recognition; interactive devices; support vector machines; telecontrol; Kinect-based handwritten digit recognition; Microsoft Kinect; TV remote controller; four direction recognition; human-machine interaction; least square method; support vector machine library; Accuracy; Artificial intelligence; Cameras; Handwriting recognition; Joints; Writing; Kinect; handwritten digit; pattern recongition; support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communications Systems (ISPACS), 2012 International Symposium on

Conference_Location

New Taipei

Print_ISBN

978-1-4673-5083-9

Electronic_ISBN

978-1-4673-5081-5

Type

conf

DOI

10.1109/ISPACS.2012.6473522

Filename

6473522