1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3JMNUFH |
Repository | sid.inpe.br/sibgrapi/2015/06.19.21.16 |
Last Update | 2015:06.19.21.16.30 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2015/06.19.21.16.30 |
Metadata Last Update | 2022:06.14.00.08.11 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2015.49 |
Citation Key | CardenasCháv:2015:FiSpRe |
Title | Finger Spelling Recognition from Depth data using Direction Cosines and Histogram of Cumulative Magnitudes |
Format | On-line |
Year | 2015 |
Access Date | 2024, Apr. 30 |
Number of Files | 1 |
Size | 1876 KiB |
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2. Context | |
Author | 1 Cardenas, Edwin Jonathan Escobedo 2 Chávez, Guillermo Cámara |
Affiliation | 1 Federal University of Ouro Preto 2 Federal University of Ouro Preto |
Editor | Papa, João Paulo Sander, Pedro Vieira Marroquim, Ricardo Guerra Farrell, Ryan |
e-Mail Address | edu.escobedo88@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 28 (SIBGRAPI) |
Conference Location | Salvador, BA, Brazil |
Date | 26-29 Aug. 2015 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2015-06-19 21:16:30 :: edu.escobedo88@gmail.com -> administrator :: 2022-06-14 00:08:11 :: administrator -> :: 2015 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | Finger spelling recognition depth information points cloud directional cosines support vector machine (SVM) |
Abstract | In this paper, we propose a new approach for finger spelling recognition using depth information captured by Kinect sensor. We only use depth information to characterize hand configurations corresponding to alphabet letters. First, we use depth data to generate a binary hand mask which is used to segment the hand area from background. Then, the major hand axis is determined and aligned with Y axis in order to achieve rotation invariance. Later, we convert the depth data in a 3D point cloud. The point cloud is divided into subregions and in each one, using direction cosines, we calculated three histograms of cumulative magnitudes Hx, Hy and Hz corresponding to each axis. Finally, these histograms were concatenated and used as input to our Support Vector Machine (SVM) classifier. The performance of this approach is quantitatively and qualitatively evaluated on a dataset of real images of American Sign Language (ASL) hand shapes. The dataset used is composed of 60000 depth images. According to our experiments, our approach has an accuracy rate of 99.37%, outperforming other state-of-the-art methods. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2015 > Finger Spelling Recognition... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Finger Spelling Recognition... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3JMNUFH |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3JMNUFH |
Language | en |
Target File | PID3771875.pdf |
User Group | edu.escobedo88@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPBW34M/3K24PF8 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2015/08.03.22.49 6 sid.inpe.br/banon/2001/03.30.15.38.24 1 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |
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