Unsupervised Approach for Multimodality Telerobotic Trajectory Segmentation-Reference-Cited by-同舟云学术

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Unsupervised Approach for Multimodality Telerobotic Trajectory Segmentation

Published:2024-09-15 Issue:18 Volume:11 Page:30385-30399
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Xie Jiexin¹^ORCID,Yan Haitao¹^ORCID,Wang Jiaxin²^ORCID,Shao Zhenzhou³^ORCID,Guo Shijie¹^ORCID,She Jinhua⁴^ORCID

Affiliation:

1. Academy for Engineering and Technology, Fudan University, Shanghai, China

2. School of Mechanical Engineering, Hebei University of Technology, Tianjin, China

3. Information Engineering College, Capital Normal University, Beijing, China

4. School of Engineering, Tokyo University of Technology, Tokyo, Japan

Funder

Shanghai Science and Technology Program

National Key Research and Development Plan Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6488907/10660568/10552702.pdf?arnumber=10552702

Reference36 articles.

1. Gesture Recognition in Robotic Surgery: A Review

2. Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training

3. Robot complex motion learning based on unsupervised trajectory segmentation and movement primitives

4. Automatic Detection and Segmentation of Robot-Assisted Surgical Motions

5. Data-Derived Models for Segmentation with Application to Surgical Assessment and Training

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