書誌事項
- タイトル別名
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- Activity recognition applied to the organ removal in surgical robotic system
抄録
<p>Surgical robotic systems enable doctors to perform surgery on a patient at a remote location. In telesurgery, several assistance methods have been developed to overcome the problem of communication delay because of long distance. In order to automate surgical tasks, real-time recognition of surgical activity is indispensable. In this study, we designed a network model based on temporal convolutional network and MobileNet for activity recognition. This proposed model achieved 57% in accuracy and 0.42 in F-measure. We also propose a model using segmentation information, and it improved the accuracy by 4% and F measure by 0.09.</p>
収録刊行物
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- ロボティクス・メカトロニクス講演会講演概要集
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ロボティクス・メカトロニクス講演会講演概要集 2020 (0), 2A2-D06-, 2020
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1391975276382123008
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- NII論文ID
- 130007944076
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- ISSN
- 24243124
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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
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可