Presentation | 2013-01-25 A Study on Finger Character Recognition using Kinect Kai INOUE, Takeshi SAITOH, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a finger character recognition method using Microsoft Kinect In our proposed method, we automatically extract the right hand region from depth image which captured by Kinect Next, we calculate six features of number of finger, aspect ratio, area ratio between bounding rectangle and hand region, roundness, range ratio, and Foureir descriptors These features are fed to SVMs In order to prevent wrong recognition in a real-time process, we implement two functions of motionless judge process and voting process We set 41 Japanese finger characters without a motion as the recognition target, and the evaluation experiments were carried out with five subjects As the results, we obtained the recognition rate of 95% of person dependent recognition, and 53% of person independent recognition. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Finger character recognition / depth image / features / SVM / Kinect |
Paper # | MBE2012-81 |
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Conference Information | |
Committee | MBE |
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Conference Date | 2013/1/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | ME and Bio Cybernetics (MBE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on Finger Character Recognition using Kinect |
Sub Title (in English) | |
Keyword(1) | Finger character recognition |
Keyword(2) | depth image |
Keyword(3) | features |
Keyword(4) | SVM |
Keyword(5) | Kinect |
1st Author's Name | Kai INOUE |
1st Author's Affiliation | Dept of System Design and Informatics, Kyushu Institute of Technology() |
2nd Author's Name | Takeshi SAITOH |
2nd Author's Affiliation | Dept of System Design and Informatics, Kyushu Institute of Technology |
Date | 2013-01-25 |
Paper # | MBE2012-81 |
Volume (vol) | vol.112 |
Number (no) | 417 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |