書誌事項
- タイトル別名
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- Experimental Analysis of Skin Color Detection and Automated Recognition for Finger Spelling
- アルファベット ユビ モジ ノ ハダイロ チュウシュツ ト ニンシキ ニ カンスル キソテキ ケンキュウ
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This research is concerned with automated recognition of sign language. In this paper, new algorithm using Neural Network which recognizes finger spelled word of American Sign Language (ASL) is proposed.Experiment is also conducted using actual video of finger spelled words. This is a challenging task since the ASL alphabets are expressed by the various figure of one hand. The captured input image in RGB is converted to HSV color space, because it is more related to human color perception. Automated recognition experiment using proposed algorithm is done to 26 characters of ASL finger spelling. According to the result of experimental analysis, it is proved that the algorithm proposed in this paper is effective in finger spelling recognition.
収録刊行物
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- 仁愛女子短期大学研究紀要
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仁愛女子短期大学研究紀要 (43), 1-6, 2011-03-31
仁愛女子短期大学
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詳細情報 詳細情報について
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- CRID
- 1390295590860745600
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- NII論文ID
- 120002972437
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- NII書誌ID
- AN1027435X
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- NDL書誌ID
- 11091476
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- ISSN
- 09138587
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- IRDB
- NDL
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用可