論文

査読有り
2022年

Japanese fingerspelling identification by using MediaPipe

Nonlinear Theory and Its Applications, IEICE
  • Masanao Yasumuro
  • ,
  • Kenya Jin'no

13
2
開始ページ
288
終了ページ
293
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1587/nolta.13.288
出版者・発行元
The Institute of Electronics, Information and Communication Engineers

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.

リンク情報
DOI
https://doi.org/10.1587/nolta.13.288
CiNii Research
https://cir.nii.ac.jp/crid/1390854717776981248?lang=ja
URL
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19K12163/
ID情報
  • DOI : 10.1587/nolta.13.288
  • eISSN : 2185-4106
  • CiNii Research ID : 1390854717776981248
  • ORCIDのPut Code : 110802757

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