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- Yasumuro Masanao
- Graduate School of Tokyo City University
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- Jin'no Kenya
- Graduate School of Tokyo City University
抄録
<p>In order to realize a barrier free society, it is important to realize sign language recognition on smartphones. Several methods have been proposed for fingersplling recognition, which is the basis of sign language recognition. In this paper, we propose a simple still fingerspelling recognition system. The system apply the two dimensional hand point information obtained by MediaPipe. The obtained information is identified by a linear SVM. The proposed system requires only a smaller amount of input data than the previous ones, and the processing is realized by SVM which requires a small amount of computation. Although the proposed system requires only a small amount of computation, it achieves extremely recognition accuracy for still fingerspellings.</p>
収録刊行物
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- Nonlinear Theory and Its Applications, IEICE
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Nonlinear Theory and Its Applications, IEICE 13 (2), 288-293, 2022
一般社団法人 電子情報通信学会
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詳細情報 詳細情報について
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- CRID
- 1390854717776981248
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- ISSN
- 21854106
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可