elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Recognition and segmentation of surgical gestures

Krishnan, Pooja and Raffin, Antonin and Klodmann, Julian and Triebel, Rudolph (2020) Recognition and segmentation of surgical gestures. In: CARS 2020—Computer Assisted Radiology and Surgery, Proceedings of the 34th International Congress and Exhibition, 15. CARS 2020—Computer Assisted Radiology and Surgery, Proceedings of the 34th International Congress and Exhibition, 2020-06-23 - 2020-06-27, Munich. doi: 10.1007/s11548-020-02171-6.

[img] PDF - Only accessible within DLR
42MB

Official URL: https://link.springer.com/article/10.1007/s11548-020-02171-6

Abstract

Temporal segmentation and recognition of actions performed throughout a video have numerous applications in robotics, medical science, surveillance, etc. It plays a crucial role in the field of Minimally Invasive Robotic Surgery (MIRS), wherein the results can help obscure skill deficiencies, predict the most probable future gesture and improve the quality of feedback provided during surgical training. The current state-of-the-art techniques for MIRS are developed based on kinematic data. However, recent works have found video data to be equally discriminative. Since MIRS is a safety-critical application, we estimate the model's confidence for each prediction. The model is trained and evaluated using both the video and kinematic data available in the JHU-ISI Gesture and Skill Assessment Working Set (JIGSAWS) dataset.

Item URL in elib:https://elib.dlr.de/195105/
Document Type:Conference or Workshop Item (Other)
Title:Recognition and segmentation of surgical gestures
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Krishnan, PoojaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Raffin, AntoninUNSPECIFIEDhttps://orcid.org/0000-0001-6036-6950UNSPECIFIED
Klodmann, JulianUNSPECIFIEDhttps://orcid.org/0000-0002-9428-7211UNSPECIFIED
Triebel, RudolphUNSPECIFIEDhttps://orcid.org/0000-0002-7975-036XUNSPECIFIED
Date:June 2020
Journal or Publication Title:CARS 2020—Computer Assisted Radiology and Surgery, Proceedings of the 34th International Congress and Exhibition
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:15
DOI:10.1007/s11548-020-02171-6
Series Name:International Journal of Computer Assisted Radiology and Surgery
Status:Published
Keywords:Surgical Gesture Recognition, Confidence Estimation, Bidirectional LSTM, Segmentation
Event Title:CARS 2020—Computer Assisted Radiology and Surgery, Proceedings of the 34th International Congress and Exhibition
Event Location:Munich
Event Type:international Conference
Event Start Date:23 June 2020
Event End Date:27 June 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Robotics
DLR - Research area:Raumfahrt
DLR - Program:R RO - Robotics
DLR - Research theme (Project):R - Terrestrial Assistance Robotics, R - Medical Assistance Systems [RO]
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Analysis and Control of Advanced Robotic Systems
Institute of Robotics and Mechatronics (since 2013) > Cognitive Robotics
Deposited By: Klodmann, Julian
Deposited On:15 May 2023 14:02
Last Modified:24 Apr 2024 20:55

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.