NDLI: Hand posture recognition with co-training

Content Provider	IEEE Xplore Digital Library
Author	Yikai Fang Jian Cheng Jinqiao Wang Kongqiao Wang Jing Liu Hanqing Lu
Copyright Year	2008
Description	Author affiliation: Nokia Res. Center, Beijing, China (Kongqiao Wang) \|\| Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China (Yikai Fang; Jian Cheng; Jinqiao Wang; Jing Liu; Hanqing Lu)
Abstract	As an emerging human-computer interaction approach vision based hand interaction is more natural and efficient. However in order to achieve high accuracy, most of the existing hand posture recognition methods need a large number of labeled samples which is expensive or unavailable in practice. In this paper, a co-training based method is proposed to recognize different hand postures with a small quantity of labeled data. Hand postures examples are represented with different features and disparate classifiers are trained simultaneously with labeled data. Then the semi-supervised learning treats each new posture as unlabeled data and updates the classifiers in a co-training framework. Experiments show that the proposed method outperforms the traditional methods with much less labeled examples.
Starting Page	1
Ending Page	4
File Size	480846
Page Count	4
File Format	PDF
ISBN	9781424421749
ISSN	10514651
DOI	10.1109/ICPR.2008.4761066
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Human computer interaction Pattern recognition Magnetic sensors Automation Semisupervised learning Computer applications Mice Keyboards Data gloves Sensor phenomena and characterization
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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