Presentation | 2012-12-06 Construction of HMM Reflecting Variety of Hand Motions for Sign Language Word Recognition Tadashi MATSUO, Yoshiaki SHIRAI, Nobutaka SHIMADA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | For sign language recognition with Hidden Markov Model (HMM), it isdesired that a topology of a HMM reflect the variety of hand motions.We propose a method to construct a HMM that has branches and junctionsto appropriately reflect the variety of a word.Many candidate HMMs are generated from sub-motions extracted fromtraining samples. An appropriate HMM is selected by evaluatingcandidates with real samples and virtual samples generated by aspecially made HMM.By using virtual samples, excessive specialization to specific samplescan be avoided.With experiments, we show the effectiveness of the proposed method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Sign language recognition / Hidden Markov Model / topology estimation / video processing |
Paper # | WIT2012-27 |
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Committee | WIT |
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Conference Date | 2012/11/29(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Well-being Information Technology(WIT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Construction of HMM Reflecting Variety of Hand Motions for Sign Language Word Recognition |
Sub Title (in English) | |
Keyword(1) | Sign language recognition |
Keyword(2) | Hidden Markov Model |
Keyword(3) | topology estimation |
Keyword(4) | video processing |
1st Author's Name | Tadashi MATSUO |
1st Author's Affiliation | College of Information Science and Engnieering Ritsumeikan University() |
2nd Author's Name | Yoshiaki SHIRAI |
2nd Author's Affiliation | College of Information Science and Engnieering Ritsumeikan University |
3rd Author's Name | Nobutaka SHIMADA |
3rd Author's Affiliation | College of Information Science and Engnieering Ritsumeikan University |
Date | 2012-12-06 |
Paper # | WIT2012-27 |
Volume (vol) | vol.112 |
Number (no) | 336 |
Page | pp.pp.- |
#Pages | 6 |
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