| Project/Area Number |
20700174
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Akita Prefectural University |
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Principal Investigator |
ISHII Masaki Akita Prefectural University, システム科学技術学部, 助教 (10390907)
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| Project Period (FY) |
2008 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
|
| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2009: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2008: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Keywords | 顔画像処理 / 表情認識 / 学習 / ヒューマンインタフェース / 人工知能 / 画像,文章,音声認識 / 画像, 文章, 音声等認識 |
|---|
| Research Abstract |
In this research, we proposed a facial expression recognition model with the capability of additional learning with the Fuzzy ART incorporated as well. To demonstrate how useful it can be, we conducted some basic experiments for evaluation purposes with both joyful expressions and no facial expressions examined. Results show clearly that the facial expression feature space that we created using the method we proposed was capable of capturing additional knowledge while it maintained the existing knowledge as it was without alteration. The results we obtained demonstrate that the proposed method can be useful for an adaptive facial expression recognition model that has a robustness feature along the time axis.
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