Robust Hand Gesture Recognition Using Multimodal Deep Learning for Touchless Visualization of 3D Medical Images

Kotaro Furusawa, Jiaqing Liu, Seiju Tsujinaga, Tomoko Tateyama, Yutaro Iwamoto, Yen Wei Chen

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

3 被引用数 (Scopus)

抄録

Three-dimensional (3D) visualization of medical images is an important technology for efficiently conducting a surgery. However, efficient review of 3D anatomical models is required to maintain sterile field conditions. An operation using touchless interface for gesture recognition is one of the review methods. Real-time hand gesture application for supporting a surgery requires a robust recognition of various gestures. This study proposes a robust hand gesture recognition using multimodal deep learning to perform recognition using color and depth images. We evaluated the recognition accuracy of 25 different gestures and compared its recognition accuracy with conventional recognition methods. Resultantly, it was found that the proposed system achieves better real-time robust recognition than conventional methods.

本文言語英語
ホスト出版物のタイトルAdvances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Volume 1
編集者Yong Liu, Lipo Wang, Liang Zhao, Zhengtao Yu
出版社Springer
ページ593-600
ページ数8
ISBN(印刷版)9783030324551
DOI
出版ステータス出版済み - 2020
外部発表はい
イベント15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019 - Kunming, 中国
継続期間: 20-07-201922-07-2019

出版物シリーズ

名前Advances in Intelligent Systems and Computing
1074
ISSN(印刷版)2194-5357
ISSN(電子版)2194-5365

会議

会議15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019
国/地域中国
CityKunming
Period20-07-1922-07-19

All Science Journal Classification (ASJC) codes

  • 制御およびシステム工学
  • コンピュータサイエンス一般

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