| Presentation | 2012-02-09 Electrooculogram recognition using hidden Markov model Fuming FANG, Takahiro SHINOZAKI, Yasuo HORIUCHI, Shingo KUROIWA, Sadaoki FURUI, Toshimitsu MUSHA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to provide an efficient means of communication for those who cannot move muscles of their whole body except eyes due to amyotrophic lateral sclerosis (ALS), we propose an speech synthesis interface based on electrooculogram (EOG) input. The system consists of EOG electrodes, an EOG recognition system, and a speech synthesis system. In this paper, we report experiments about the EOG recognition system that we have developed borrowing speech recognition techniques using hidden Markov model (HMM). In the experiments, we first make user-dependent EOG recognition systems. It is shown that the systems give 95.7% recognition accuracy on average. While they give high recognition performance, a problem is that they need a large amount of user-specific data for model training. From the application point of view, user-independent systems are preferable. As the second experiment, we evaluate the effect of individual differences in EOG recognition. It is shown that the recognition accuracy largely drops if there is a mismatch between the EOG model and recognition data. As the last experiment, we apply speaker adaptation techniques that have been developed for speech recognition to EOG recognition, and show that they are effective to improve EOG recognition accuracy. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Electrooculogram / Hidden Markov model / Recognition / Speech synthesis / Information assurance |
| Paper # | PRMU2011-202,SP2011-117 |
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| Conference Information | |
| Committee | SP |
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| Conference Date | 2012/2/2(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Speech (SP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Electrooculogram recognition using hidden Markov model |
| Sub Title (in English) | |
| Keyword(1) | Electrooculogram |
| Keyword(2) | Hidden Markov model |
| Keyword(3) | Recognition |
| Keyword(4) | Speech synthesis |
| Keyword(5) | Information assurance |
| 1st Author's Name | Fuming FANG |
| 1st Author's Affiliation | Chiba University() |
| 2nd Author's Name | Takahiro SHINOZAKI |
| 2nd Author's Affiliation | Chiba University |
| 3rd Author's Name | Yasuo HORIUCHI |
| 3rd Author's Affiliation | Chiba University |
| 4th Author's Name | Shingo KUROIWA |
| 4th Author's Affiliation | Chiba University |
| 5th Author's Name | Sadaoki FURUI |
| 5th Author's Affiliation | Tokyo Institute of Technology |
| 6th Author's Name | Toshimitsu MUSHA |
| 6th Author's Affiliation | Brain Functions Laboratory, Inc Tokyo Tech |
| Date | 2012-02-09 |
| Paper # | PRMU2011-202,SP2011-117 |
| Volume (vol) | vol.111 |
| Number (no) | 431 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |