Presentation 2012-02-10
HMM Sign Language Recognition Using Kinect and Particle Filter
Yosuke NISHIMURA, Daisuke IMAMURA, Yasuo HORIUCHI, Kazuhiko KAWAMOTO, Takahiro SHINOZAKI, Shingo KUROIWA,
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Abstract(in English) In this paper, we will introduce a sign language recognition method using Kinect which is a motion sensing input device by Microsoft. Kinect has a RGB camera and a depth sensor and therefore we can easily get 3D images of signers' motion. The positions of arms are detected from both the color image data and the depth data of each pixel using Particle Filter Algorithm. Then, sign sentences are recognized using Hidden Markov Model. In our method, the recognition rate was 86.0%, while the recognition rate in the previous study using video image only was 76.2%. On the other hand, the recognition rate using attached motion capturing sensors was 86.8% and was approximately the same as our method. These results show that our method is useful for the practical applications, since our method uses only Kinect which is not expensive and no device is attached to the signer's hand.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Sign Language Recognition / Particle Filter / Hidden Markov Model / Kinect
Paper # PRMU2011-223,SP2011-138
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Conference Information
Committee SP
Conference Date 2012/2/2(1days)
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Paper Information
Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) HMM Sign Language Recognition Using Kinect and Particle Filter
Sub Title (in English)
Keyword(1) Sign Language Recognition
Keyword(2) Particle Filter
Keyword(3) Hidden Markov Model
Keyword(4) Kinect
1st Author's Name Yosuke NISHIMURA
1st Author's Affiliation Chiba University()
2nd Author's Name Daisuke IMAMURA
2nd Author's Affiliation Chiba University
3rd Author's Name Yasuo HORIUCHI
3rd Author's Affiliation Chiba University
4th Author's Name Kazuhiko KAWAMOTO
4th Author's Affiliation Chiba University
5th Author's Name Takahiro SHINOZAKI
5th Author's Affiliation Chiba University
6th Author's Name Shingo KUROIWA
6th Author's Affiliation Chiba University
Date 2012-02-10
Paper # PRMU2011-223,SP2011-138
Volume (vol) vol.111
Number (no) 431
Page pp.pp.-
#Pages 6
Date of Issue