書誌事項
- タイトル別名
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- Understanding Presumption System from Facial Images
- ヒョウジョウ カラ エラレル リカイド ノ スイテイ システム
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抄録
In this paper, we propose an understanding presumption system from facial images using a three-layered neural network. It can presume a degree of understanding from facial expressions; it can recognize whether a person understands a question or not. Feature points are located on each facial image and are used to extract expression information. The expression information is given as an input and the system presumes the degree of understanding based on the facial images into 5 levels, from NOT UNDERSTAND to WELL UNDERSTAND. The network is learned using Back Propagation algorithm. The average presumption rates of the proposed system was over 70%.
収録刊行物
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- 電気学会論文誌C(電子・情報・システム部門誌)
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電気学会論文誌C(電子・情報・システム部門誌) 120 (2), 273-278, 2000
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390001204610041984
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- NII論文ID
- 130006845286
- 10006759448
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 4973466
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- データソース種別
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- JaLC
- NDL
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