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Trmal Jan and Marek Hrúz : Evaluation of Feature Space Transforms for Czech Sign-Language Recognition . MetaCentrum Yearbook 2010, p. 145-150, 2010.

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In the paper we give a brief introduction into sign language recognition and present a particular research task, where the access to MetaCentrum computing facilities was highly beneficial. Although the problem of signed speech recognition is currently being researched into by many research institutions all around the world, it lacks of a generally accepted baseline parametrization method. Our team introduced a parametrization method based on skin-color detection and object tracking. Because of the relatively high amount of information that is produced during the parametrization process, a method that reduces the unnecessary information while keeping the necessary information is required. Such methods are called feature space dimension reduction methods. We used the MetaCentrum facilities to evaluate several methods used widely in the field of acoustic speech recognition and their influence on recognition score of a Czech Sign-Language recognizer.

Detail of publication

Title: Evaluation of Feature Space Transforms for Czech Sign-Language Recognition
Author: Trmal Jan ; Marek Hrúz
Language: English
Date of publication: 1 Aug 2010
Year: 2010
Type of publication: Papers in journals
Title of journal or book: MetaCentrum Yearbook 2010
Page: 145 - 150
ISBN: ISBN 978-80-904173-7-3
Date: 6 Sep 2010 - 10 Sep 2010
/ 2010-10-19 13:58:35 /


 author = {Trmal Jan and Marek Hr\'{u}z},
 title = {Evaluation of Feature Space Transforms for Czech Sign-Language Recognition},
 year = {2010},
 journal = {MetaCentrum Yearbook 2010},
 pages = {145-150},
 ISBN = {ISBN 978-80-904173-7-3},
 url = {},