NDLI: A Kinect-based handwritten digit recognition for TV remote controller

Content Provider	IEEE Xplore Digital Library
Author	Tsai-Te Chu Chung-Yen Su
Copyright Year	2012
Description	Author affiliation: Department of Applied Electronics Technology, National Taiwan Normal University, Taipei, Taiwan (Tsai-Te Chu; Chung-Yen Su)
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.
Starting Page	414
Ending Page	419
File Size	376483
Page Count	6
File Format	PDF
ISBN	9781467350839
e-ISBN	9781467350822
e-ISBN	9781467350815
DOI	10.1109/ISPACS.2012.6473522
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-04
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handwriting recognition Joints Cameras Accuracy Writing Artificial intelligence support vector machine Kinect pattern recongition handwritten digit
Content Type	Text
Resource Type	Article

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